EURO-PAR 2025: 31ST INTERNATIONAL EUROPEAN CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING

A
Aguirre-Meneses, Heriberto	A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Ahmad, Sabtain	On-Device Federated Learning for Remote Alpine Livestock Monitoring
Ahmad Nasif, Kazi Fahim	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Akkinepally, Phani Sahasra	Fault-Tolerant Distributed Federated Learning with Adaptive Termination Detection
Aldinucci, Marco	Thread Monitoring Tool: transparent characterization of threading patterns with eBPF Accelerating SWIRL Workflows: A High-Performance Rust Backend for Distributed Execution
Aliaga, José Ignacio	Dynamic reconfiguration for malleable applications using RMA
Allen, Bryce	THAPI: Tracing Heterogeneous APIs
Almeida Rodríguez, Francisco Carmelo	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Alonso Pascual, Sergio	Exploiting highly heterogenous systems with stencil applications
An, Hong	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
An, Xuejun	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
An, Xuejun	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Andersson, Måns I.	Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
Angelopoulos, Spyros	Cache Management for Mixture-of-Experts LLMs
Anton, Semakin	Design and Operation of Elastic GPU-pooling on Campus
Applencourt, Thomas	THAPI: Tracing Heterogeneous APIs
Appuswamy, Raja	H2O: Holistic Hyper-Parameter Optimization for Large-Scale Deep Neural Network Training Open, cross-architecture acceleration of data analytics with SYCL and RISC-V
Araujo, Guido	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Asifuzzaman, Kazi	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Augustine, John	Supervised Distributed Computing
B
Bader, David A.	Wedge-Parallel Triangle Counting for GPUs
Badia, Rosa María	Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Bai, Zhuoxin	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Balabhadra Naga Venkata, Malleswara Gupta	Accelerating Gate Sizing using GPU
Banerjee, Roopkatha	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
Barrios Hernandez, Carlos	A Holistic Approach to Complexity Management and Multidimensional Analysis in Computing Continuum
Bart, Duncan	Millibenchmarking: Using Graph Sampling for Ranking GPU PageRank Implementations
Bartolini, Andrea	A Unified Ontology for Scalable Knowledge Graph–Driven Operational Data Analytics in High-Performance Computing Systems Light Weight Scalable DevOps for Cloud Robotics
Beaumont, Olivier	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
Bekele, Solomon	THAPI: Tracing Heterogeneous APIs
Belcastro, Loris	Scalable Compression of Massive Data Collections on HPC Systems Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Beliaev, Nikolai	ParSolGen (Parallel Solvers Generator) - an automated numerical parallel programs generator for distributed memory parallel computers
Benhari, Abdessalam	Analysis of the carbon footprint of HPC
Benoit, Anne	Partial Detectors Versus Replication To Cope With Silent Errors Green Scheduling on the Edge
Bhattarai, Rajat	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Bielert, Mario	Towards Digital Twins of HPC Data Centres Modelling Infrastructure and HPC Systems for IT-Zauber
Bienz, Amanda	Targeted data movement optimizations for emerging heterogeneous supercomputers
Birke, Robert	Thread Monitoring Tool: transparent characterization of threading patterns with eBPF
Blanco Pérez, Vicente José	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Bodin, François	HPC Software as a Service: A Flexible Approach to Data Logistics
Bourgouin, Raphael	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
Brabec, Matyáš	Tutoring LLM into a Better CUDA Optimizer
Brandic, Ivona	On-Device Federated Learning for Remote Alpine Livestock Monitoring
Brandt, Jim	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Bratek, Pawel	Boosting Performance of Counting Queries in Machine Learning Applications with a ccNUMA-aware Implementation
Brunet, Elisabeth	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
C
Canon, Louis-Claude	Approximation Bounds for SLACK on Identical Parallel Machines
Cao, Huawei	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Capel, Manuel I.	Optimized Parallel Metaheuristics for Big Data Processing on GPUs with Apache Spark
Capozzi, Vincenzo	A framework for flooding early warning leveraging AI, HPC, and computing continuum
Carretero, Jesus	Comparative Analysis of Algorithms for Malleability Decision-Making in Applications and File Systems A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Castillo, Mª Isabel	Dynamic reconfiguration for malleable applications using RMA
Cavalheiro, Gerson	Polymorphic Higher-Order GPU Kernels
Cendrier, Joachim	Green Scheduling on the Edge
Cesario, Eugenio	Building Parallel Machine Learning Workflows in PyCOMPSs: The Case Study of Tsunami Forecasting
Chandrashekar, Tejus	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
Chang, Qixin	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Chao, Lingwei	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Chatterjee, Soumyajit	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Che, Xilong	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Chen, Ao	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Chen, Gang	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Chen, Huangxun	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Chen, Jianxi	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
Chen, Jingyi	Design and Operation of Elastic GPU-pooling on Campus
Chen, Junshi	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Chen, Kuan-Hsun	Wedge-Parallel Triangle Counting for GPUs Millibenchmarking: Using Graph Sampling for Ranking GPU PageRank Implementations
Chen, Xun	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Chen, Yunling	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Chen, Zhiguang	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Chen, Zhitao	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Cheng, Jian	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Chien, Andrew	Green Scheduling on the Edge
Choi, Jinhyeok	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Chu, Xiaowen	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Chung, Yi-Hua	Accelerating Gate Sizing using GPU SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Ciaramella, Angelo	A framework for flooding early warning leveraging AI, HPC, and computing continuum
Cielo, Salvatore	SYCL for Energy-Efficient Computational Astrophysics: the case of DPEcho
Ciorba, Florina M.	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Cléto, Jhonatan	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Cordeiro, Daniel	Green Energy Aware Scheduling of Scientific Workflows with Flexible Deadlines
Coulaud, Olivier	Near-optimal contraction strategies for the scalar product in the tensor-train format
Coviello, Giuseppe	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
Cui, Huimin	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Culver, Christopher	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
D
Danelutto, Marco	WebAssembly and Unikernels: A Comparative Study for Serverless at the Edge
Danoy, Grégoire	A Portable Branch-and-Bound Algorithm for Cross-Architecture Multi-GPU Systems
Darrin, Maxime	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
Date, Prasanna	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Dazzi, Patrizio	WebAssembly and Unikernels: A Comparative Study for Serverless at the Edge
de Castro, Manuel	OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing
de Castro Caballero, Manuel	Exploiting highly heterogenous systems with stencil applications
De Luca, Pasquale	A framework for flooding early warning leveraging AI, HPC, and computing continuum
De Micco, Francesco	A framework for flooding early warning leveraging AI, HPC, and computing continuum
De Moor, Florestan	Evaluating Energy Efficiency of Genomics Algorithms on Processing-in-Memory Architectures
de Oliveira Castro, Pablo	Noise injection for performance bottleneck analysis
De Vita, Ciro Giuseppe	A framework for flooding early warning leveraging AI, HPC, and computing continuum
de Wolff, Ivo Gabe	Scheduling Task and Data Parallelism in Array Languages with Work Assisting
Delval, Aurélien	Noise injection for performance bottleneck analysis
Deng, Bobin	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Denneulin, Yves	A Holistic Approach to Complexity Management and Multidimensional Analysis in Computing Continuum Analysis of the carbon footprint of HPC
Desprez, Frédéric	Analysis of the carbon footprint of HPC
Dhar, Nobel	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Di Luccio, Diana	A framework for flooding early warning leveraging AI, HPC, and computing continuum
Di Nardo, Emanuel	A framework for flooding early warning leveraging AI, HPC, and computing continuum
Diakhaté, François	Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI Applications
Dmitry, Tovmachenko	Design and Operation of Elastic GPU-pooling on Campus
Do Ó, Marcelo Torres	Green Energy Aware Scheduling of Scientific Workflows with Flexible Deadlines
Do-Huu, Thanh-Thien	Efficient FPGA-based GAN Accelerator Core for Edge-AI Platforms
Dollenbacher, Tobias	Tracking the Critical Path of Execution for GPU Offloading Applications
Dominikowski, Przemyslaw	Near-optimal contraction strategies for the scalar product in the tensor-train format
Dong, Hande	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Dong, Jiale	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Drezen, Erwan	Evaluating Energy Efficiency of Genomics Algorithms on Processing-in-Memory Architectures
Du, Shaoshuai	A Comparative Study of Streaming Graph Processing Systems
Duan, Xiaohui	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Dufossé, Fanny	Analysis of the carbon footprint of HPC
Dugois, Anthony	Approximation Bounds for SLACK on Identical Parallel Machines
Dushkoff, Michael	SIMON: A Simple Monitoring Framework for Heterogeneous Application Observability
E
E. Singh, David	Comparative Analysis of Algorithms for Malleability Decision-Making in Applications and File Systems
Eswar, Ananth	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
F
Falcao, Gabriel	EAGER: Energy-Aware 3D Gaussian Splatting on Embedded Parallel Heterogeneous Systems
Falevoz, Yann	Evaluating Energy Efficiency of Genomics Algorithms on Processing-in-Memory Architectures
Fan, Yuzhe	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Fan, Zhihua	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Fang, Haining	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Fazenda, Alvaro Luiz	Mixed precision over GPU applied to a Microphysics model
Fedotov, Aleksei	A Case Study for Resolving Composability Issues Using a Shared CPU Resource Coordinator
Feng, Dan	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Feng, Xiaobing	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Feng, Zhichen	DiffNO: Neural Operator Learning using Physically Structured Constrained Diffusion Model
Ferragina, Paolo	Scalable Compression of Massive Data Collections on HPC Systems
Ferraz, Oscar	EAGER: Energy-Aware 3D Gaussian Splatting on Embedded Parallel Heterogeneous Systems
Fetita, Catalin	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Fiasco, Enrico	WebAssembly and Unikernels: A Comparative Study for Serverless at the Edge
Foglio Bonda, Tommaso	Accelerating SWIRL Workflows: A High-Performance Rust Backend for Distributed Execution
Formisano, Francesca	A framework for flooding early warning leveraging AI, HPC, and computing continuum
Frisch, Dustin	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
G
Gabriele, Nicola	Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Gainaru, Ana	Priority-BF: a Task Manager for Priority-Based Scheduling
Ganesh, Vijay	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Garby, Jacob	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD
Garcia Valdez, Mario	Time-related effects in the measurement of energy consumption in evolutionary algorithms
Garcia-Blas, Javier	Comparative Analysis of Algorithms for Malleability Decision-Making in Applications and File Systems
Gentile, Ann	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Georgiou, Chryssis	Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
Gerndt, Michael	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
Gesper, Sven	Portable and Scalable FPGA Emulation of a Massive-Parallel Vector Processor
Ghafoor, Sheikh	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Ghiasvand, Siavash	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
Giampà, Salvatore	Building Parallel Machine Learning Workflows in PyCOMPSs: The Case Study of Tsunami Forecasting
Gokhale, Maya	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Gomez, Maria	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Gong, Lei	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Gong, Ming	DCG-DDQ: A Directed Cyclic Graph Based Task Computing System
Gong, Shijia	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
Gonzalez-Compean, Jose Luis	A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Gonzalez-Escribano, Arturo	Exploiting highly heterogenous systems with stencil applications
Gracia, Jose	Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
Gran Tejero, Rubén	Exploiting highly heterogenous systems with stencil applications
Grozin, Glib	Dynamic Data Redistribution for Malleable MPI Frameworks through Virtual Topologies
Grużewski, Mateusz	Advanced Techniques in Polyhedral Model-Based Compilers for Efficient and Cross-Platform Code Generation on Multicore Processors
Gu, Cheng	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Gu, Jianfeng	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
Gu, Jianhua	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory
Guan, Haibing	Design and Operation of Elastic GPU-pooling on Campus
Guo, Hui	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Guo, Kaicheng	Design and Operation of Elastic GPU-pooling on Campus
Guo, Tianyu	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Gupta, Nikunj	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Gutiérrez Velasco, Mario Ibrahin	A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Gómez-Garaluz, Javier	Optimized Parallel Metaheuristics for Big Data Processing on GPUs with Apache Spark
H
Ha, Soonhoi	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
Hackenberg, Daniel	Towards Digital Twins of HPC Data Centres Modelling Infrastructure and HPC Systems for IT-Zauber
Han, Bin	DCG-DDQ: A Directed Cyclic Graph Based Task Computing System
Hao, Qinfen	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
He, Jingyi	CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency
He, Yueqiang	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Heam, Pierre-Cyrille	Approximation Bounds for SLACK on Identical Parallel Machines
Helbecque, Guillaume	A Portable Branch-and-Bound Algorithm for Cross-Architecture Multi-GPU Systems
Herault, Thomas	Partial Detectors Versus Replication To Cope With Silent Errors
Hernandez, Oscar	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Hernández González, Nicolás	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Ho, Tsung-Yi	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
Holgado, Juan A.	Optimized Parallel Metaheuristics for Big Data Processing on GPUs with Apache Spark
Holmes, Daniel	Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models
Homann, Jasper	Portable and Scalable FPGA Emulation of a Massive-Parallel Vector Processor
Homes, Simon	Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
Hou, Haijie	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Hou, Zhengxiong	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Hu, Juncheng	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Hu, Yangyang	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
Hu, Yuchong	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Huang, Jun	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Huang, Kai	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
Huang, Libo	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Huang, Linpeng	CSGC: Collaborative File System Garbage Collection with Computational Storage
Huang, Tsung-Wei	Accelerating Gate Sizing using GPU SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Huber, Dominik	Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models Malleability in LAIK with MPI Dynamic Processes and PSets
Huck, Kevin	SIMON: A Simple Monitoring Framework for Heterogeneous Application Observability
Huynh-Trung, Nhat	Efficient FPGA-based GAN Accelerator Core for Edge-AI Platforms
I
Ibrahim, Khaled	Performance Analysis of Container-in-VM Architectures: A Study on Hypervisor Isolation and Lightweight OS Integration
Ignatov, Kaloyan	Tracking the Critical Path of Execution for GPU Offloading Applications
Ilic, Aleksandar	Open, cross-architecture acceleration of data analytics with SYCL and RISC-V
Isaev, Ilya	A Case Study for Resolving Composability Issues Using a Shared CPU Resource Coordinator
Islam, Md Romyull	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Islam, Tanzima	From Reactive Debugging to Proactive Detection: AI for Performance-Aware Software Development
Iyer, Mahesh	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
J
Jakobsche, Thomas	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Jalby, William	Noise injection for performance bottleneck analysis
James, David	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
Jansson, Niclas	Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
Jecker, Ismaël	Approximation Bounds for SLACK on Identical Parallel Machines
Jenke, Joachim	On-the-fly Performance Analysis of Asynchronous Parallel Execution Tracking the Critical Path of Execution for GPU Offloading Applications
Jiang, Shui	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
Jolicoeur, Lise	Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI Applications
Ju, Yi	In-Situ Techniques for the Efficient Coupling of Complex Plasma Turbulence Simulations: GENE and GENE-X
K
Kabadzhov, Ivan Donchev	Open, cross-architecture acceleration of data analytics with SYCL and RISC-V
Kahler, Anna	Performance optimization of GROMACS on modern Hardware
Kao, Odej	Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
Karp, Hugo Martin Christian	Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
Kaul, Sanyam	Modifying the HyperLedger Fabric Blockchain Architecture to increase throughput and decrease transaction rejections
Kaya, Oguz	Near-optimal contraction strategies for the scalar product in the tensor-train format
Keller, Gabriele	Scheduling Task and Data Parallelism in Array Languages with Work Assisting
Kermarrec, Anne-Marie	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Khan, Junaid Ahmed	A Unified Ontology for Scalable Knowledge Graph–Driven Operational Data Analytics in High-Performance Computing Systems
Khandelwal, Vishal	Accelerating Gate Sizing using GPU
Khojastepour, Mohammad	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
Klasky, Scott	Priority-BF: a Task Manager for Priority-Based Scheduling
Klepl, Jiří	Tutoring LLM into a Better CUDA Optimizer
Koopman, Thomas	Partitioning In-Place on Massively Parallel Systems
Kothapalli, Kishore	External GPU Biconnected Components
Krishnasamy, Ezhilmathi	A Portable Branch-and-Bound Algorithm for Cross-Architecture Multi-GPU Systems
Kruliš, Martin	Tutoring LLM into a Better CUDA Optimizer
Kuhn, Michael	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
Kulkarni, Apurv Deepak	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
Kulkarni, Shruti	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Kumar, Ashwina	AskLLVM: LLVM Code Generation for GPUs for Graph Algorithms
Kumar, Sunil	Power Scheduling on Multicore Multiprocessor Systems for Maximizing Throughput and Fairness KarmaPM: Reward-Driven Power Manager
Kumar, Vivek	KarmaPM: Reward-Driven Power Manager
Kundu, Sudipto	Accelerating Gate Sizing using GPU
Kutscher, Dirk	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Kwon, Joonyup	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
L
Lan, Hao	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
Lan, Qingqiu	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Lavenier, Dominique	Evaluating Energy Efficiency of Genomics Algorithms on Processing-in-Memory Architectures
Le Mouel, Frederic	A Holistic Approach to Complexity Management and Multidimensional Analysis in Computing Continuum
Le-Ngoc, Minh-Thu	Efficient FPGA-based GAN Accelerator Core for Edge-AI Platforms
Lee, Wan Luan	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Leng, Yichong	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Li, Chong	H2O: Holistic Hyper-Parameter Optimization for Large-Scale Deep Neural Network Training
Li, Gang	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Li, Guangli	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Li, Jiali	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Li, Wei	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Li, Wenming	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Li, Xinjiao	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Liang, Xiaoyao	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Liao, Yunming	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Lima Pilla, Laercio	Near-optimal contraction strategies for the scalar product in the tensor-train format
Lin, Cheater	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Lin, James	Design and Operation of Elastic GPU-pooling on Campus
Lin, Pei-Hung	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Lin, Qingyin	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Lin, Wenxiang	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Lin, Xiaolong	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Ling, Jiayao	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Liu, Duo	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Liu, Feng	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Liu, Mingxuan	ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory
Liu, Weiguo	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Liu, Yong	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
Liu, Yutong	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Llanos, Diego R.	OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing
Lobo, Jorge	EAGER: Energy-Aware 3D Gaussian Splatting on Embedded Parallel Heterogeneous Systems
Lordan, Francesc	Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Lou, Wenqi	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Lu, Sihan	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Lu, Yao	TH-Pulse: A Study on Hardware-Software Co-Designed Framework for LLM Training and Inference on the Tianhe new-generation supercomputer
Luan, Zhongzhi	DCG-DDQ: A Directed Cyclic Graph Based Task Computing System TH-Pulse: A Study on Hardware-Software Co-Designed Framework for LLM Training and Inference on the Tianhe new-generation supercomputer
Luo, Yi	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Lübke, Max	HPC Benchmark Game: Comparing Programming Languages Regarding Energy-Efficiency for Applications from the HPC Field
M
Machado, Rui	Experimental Evaluation of Scheduling Strategies for Evolving Workflow-Based Applications
Mahmoud, Ahmed	Disaggregated Design for GPU-Based Volumetric Data Structures
Malawski, Maciej	Heterogeneous computing, storage and network infrastructures for medical applications
Malenza, Giulio	Thread Monitoring Tool: transparent characterization of threading patterns with eBPF
Malheiros, Susanne	Exploring Flow Fields at Scale: GPU-Accelerated Scientific Visualization for Exascale CFD
Malony, Allen	SIMON: A Simple Monitoring Framework for Heterogeneous Application Observability
Manzini, Giovanni	Scalable Compression of Massive Data Collections on HPC Systems
Marchal, Loris	Cache Management for Mixture-of-Experts LLMs Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
Marinella, Matthew	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Markidis, Stefano	Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
Marozzo, Fabrizio	Scalable Compression of Massive Data Collections on HPC Systems Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Marques Garcia, Adriano	Thread Monitoring Tool: transparent characterization of threading patterns with eBPF
Martín Álvarez, Iker	Dynamic reconfiguration for malleable applications using RMA
Mastoras, Aristeidis	Efficient handling of sparse vectors for parallel nonblocking execution in GraphBLAS
McLewee, Grace	SIMON: A Simple Monitoring Framework for Heterogeneous Application Observability
Medeiros, Daniel	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Medic, Doriana	Accelerating SWIRL Workflows: A High-Performance Rust Backend for Distributed Execution
Meizner, Jan	Heterogeneous computing, storage and network infrastructures for medical applications
Melab, Nouredine	A Portable Branch-and-Bound Algorithm for Cross-Architecture Multi-GPU Systems
Mellone, Gennaro	A framework for flooding early warning leveraging AI, HPC, and computing continuum
Meneghin, Massimiliano	Disaggregated Design for GPU-Based Volumetric Data Structures
Merelo, Jj	Time-related effects in the measurement of energy consumption in evolutionary algorithms
Meyerhenke, Henning	ScaleRunner: A Fast MPI-based Random Walk Engine for Multi-CPU Systems
Miao, Shuo	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
Milroy, Daniel	Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI Applications
Ming, Zhangqiang	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Miniskar, Narasinga Rao	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Moghadaspour, Hamid	EAGER: Energy-Aware 3D Gaussian Splatting on Embedded Parallel Heterogeneous Systems
Mognol, Meven	Evaluating Energy Efficiency of Genomics Algorithms on Processing-in-Memory Architectures
Monaldi, Stefano	Thread Monitoring Tool: transparent characterization of threading patterns with eBPF
Mordgado, Jose	Open, cross-architecture acceleration of data analytics with SYCL and RISC-V
Morin, Laurent	HPC Software as a Service: A Flexible Approach to Data Logistics
Mu, Yudong	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Mulone, Alberto	Accelerating SWIRL Workflows: A High-Performance Rust Backend for Distributed Execution
Muralidharan, Servesh	THAPI: Tracing Heterogeneous APIs
Müller, Matthias S.	On-the-fly Performance Analysis of Asynchronous Parallel Execution
N
Nandivada, V. Krishna	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Nasre, Rupesh	AskLLVM: LLVM Code Generation for GPUs for Graph Algorithms
Navarro, Marta	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Neves, Nuno	EAGER: Energy-Aware 3D Gaussian Splatting on Embedded Parallel Heterogeneous Systems
Niethammer, Christoph	Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
Nuñez, Marco	A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Nyastikor, Germaine	HPC Software as a Service: A Flexible Approach to Data Logistics IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training
Nölp, Klaus	Simplifying distributed workflows: A portable approach for Cloud and HPC
Núñez Araya, Isaac David	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
O
Obrecht, Adrien	Cache Management for Mixture-of-Experts LLMs
Oden, Lena	Simplifying distributed workflows: A portable approach for Cloud and HPC
Ogras, Umit Yusuf	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Oh, Nahmsuk	Accelerating Gate Sizing using GPU
Orsino, Alessio	Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Ou, Yang	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Ozcan, Miray	Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
P
P, Gayathri Shreeya	Modifying the HyperLedger Fabric Blockchain Architecture to increase throughput and decrease transaction rejections
Pallardó-Julià, Vicent	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Pallez, Guillaume	Priority-BF: a Task Manager for Priority-Based Scheduling
Pan, Xinglin	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Parab, Arjun	Malleability in LAIK with MPI Dynamic Processes and PSets
Parlavantzas, Nikos	Auction-based Placement of Functions in the Fog at Scale
Parol-Guarino, Volodia	Auction-based Placement of Functions in the Fog at Scale
Patel, Hiren	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Patra, Manoj	Performance Analysis of Container-in-VM Architectures: A Study on Hypervisor Isolation and Lightweight OS Integration
Payá-Vayá, Guillermo	A Hybrid DMA-Cache Mechanism to Leverage Memory Bandwidth in Massive-Parallel Processors Portable and Scalable FPGA Emulation of a Massive-Parallel Vector Processor
Pei, Songwen	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Peixoto, Paulo	EAGER: Energy-Aware 3D Gaussian Splatting on Embedded Parallel Heterogeneous Systems
Peng, Ivy	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Perarnau, Swann	THAPI: Tracing Heterogeneous APIs
Pereira, Marcio	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Peri, Sathya	Fault-Tolerant Distributed Federated Learning with Adaptive Termination Detection Modifying the HyperLedger Fabric Blockchain Architecture to increase throughput and decrease transaction rejections Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
Petit, Salvador	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Petri, Stefan	HPC Benchmark Game: Comparing Programming Languages Regarding Energy-Efficiency for Applications from the HPC Field
Pham, Ngoc-Son	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Pham-Quoc, Cuong	Efficient FPGA-based GAN Accelerator Core for Edge-AI Platforms
Piantanida, Pablo	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
Piduguralla, Manaswini	Fault-Tolerant Distributed Federated Learning with Adaptive Termination Detection Modifying the HyperLedger Fabric Blockchain Architecture to increase throughput and decrease transaction rejections Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
Pimentel, Andy D.	A Comparative Study of Streaming Graph Processing Systems
Pires, Rafael	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Pointal, Brice	Near-optimal contraction strategies for the scalar product in the tensor-train format
Pollinger, Theresa	Efficient Anisotropic Mesh Refinement with Omnitrees ...or How to Get Cat GIFs Into Your Paper
Prasanna, Viktor	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Pribec, Ivan	SYCL for Energy-Efficient Computational Astrophysics: the case of DPEcho
Pritchard, Howard	Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Pu, Jin	CSGC: Collaborative File System Garbage Collection with Computational Storage
Pöppl, Alexander	SYCL for Energy-Efficient Computational Astrophysics: the case of DPEcho
Q
Qi, Zhengwei	Design and Operation of Elastic GPU-pooling on Campus
Qian, Depei	DCG-DDQ: A Directed Cyclic Graph Based Task Computing System TH-Pulse: A Study on Hardware-Software Co-Designed Framework for LLM Training and Inference on the Tianhe new-generation supercomputer
Qu, Peng	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
R
Raffin, Guillaume	Alumet: a modular framework to standardize the measurement of energy consumption
Ramakrishna, Gadhamsetty	External GPU Biconnected Components
Ramsperger, Lukas	Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
Ranawaka, Piyumal	BATCH-DNN: Adaptive and Dynamic Batching for Multi-DNN Accelerators
Rao, Kunal	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
Raoofy, Amir	Malleability in LAIK with MPI Dynamic Processes and PSets
Rauber Du Bois, Andre	Polymorphic Higher-Order GPU Kernels
Rehn-Sonigo, Veronika	Green Energy Aware Scheduling of Scientific Workflows with Flexible Deadlines
Reinbigler, Marie	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Ren, Ao	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Ren, Haoxing	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
Renault, Etienne	Noise injection for performance bottleneck analysis
Richard, Olivier	Alumet: a modular framework to standardize the measurement of energy consumption
Robert, Yves	Partial Detectors Versus Replication To Cope With Silent Errors Green Scheduling on the Edge
Rodriguez, Maximo	A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Romein, John W.	Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU
Romero López, Gustavo	Time-related effects in the measurement of energy consumption in evolutionary algorithms
Rongon, Rubayet Rahman	SCOPE: Accelerating ML data pipeline using cloud-based computational storage IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training
Ropero, Juan José	OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing
Rose, Martin	Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
Rotaru, Tiberiu	Experimental Evaluation of Scheduling Strategies for Evolving Workflow-Based Applications
Roth, Anna-Lena	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
Rozanec, Joze	A Comparative Study of Streaming Graph Processing Systems
S
S P V M Aditya, Andaluri	External GPU Biconnected Components
Sahu, Abhijeet	External GPU Biconnected Components
Sahuquillo, Julio	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Sai Nikhil, Malleti	External GPU Biconnected Components
Sakellariou, Rizos	CoreWaterfall: a Virtual-Core-Focused Scheduling and Allocation Algorithm for Oversubscribed Virtual Machines
Sankar Banerjee, Dip	External GPU Biconnected Components
Santimaria, Marco Edoardo	Thread Monitoring Tool: transparent characterization of threading patterns with eBPF
Saravanan, Vijayalakshmi	Performance Analysis of Container-in-VM Architectures: A Study on Hypervisor Isolation and Lightweight OS Integration
Saud Maia Leite, Leonardo	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Scheideler, Christian	Supervised Distributed Computing
Schieffer, Gabin	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Schmidt, Bertil	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Schneidergruber, Thomas	On-Device Federated Learning for Remote Alpine Livestock Monitoring
Schnor, Bettina	HPC Benchmark Game: Comparing Programming Languages Regarding Energy-Efficiency for Applications from the HPC Field
Scholz, Johannes	On-Device Federated Learning for Remote Alpine Livestock Monitoring
Scholz, Sven-Bodo	Partitioning In-Place on Massively Parallel Systems
Schreiber, Martin	Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models
Schulz, Martin	Design Principles of Dynamic Resource Management for High-Performance Parallel Programming Models
Schwarz, Anna	FLEXI: Scale-resolving simulations of compressible turbulence on modern HPC systems
Schwitanski, Simon	Tracking the Critical Path of Execution for GPU Offloading Applications
Sedova, Ada	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Seyedkazemi Ardebili, Mohsen	Light Weight Scalable DevOps for Cloud Robotics
Shanmugavelu, Sanjif	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Sharma, Rishi	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Sheng, Jiajie	Design and Operation of Elastic GPU-pooling on Campus
Shi, Ruimin	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Shi, Shaohuai	SQ-DeAR: Sparsified and Quantized Gradient Compression for Distributed Training ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Shiledar, Aditya	Accelerating Gate Sizing using GPU
Shin, Sangwon	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Simmhan, Yogesh	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
Simon, Bertrand	Cache Management for Mixture-of-Experts LLMs
Simsek, Osman S.	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Sochat, Vanessa	Enabling RDMA and GPUs in Rootless Kubernetes for Accelerated HPC and AI Applications
Son, Jaewoo	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
Song, Longsheng	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Song, Yingchen	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Song, Zhuoran	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Souto, Roberto Pinto	Mixed precision over GPU applied to a Microphysics model
Spaan, Jeffrey	Wedge-Parallel Triangle Counting for GPUs
Stenstrom, Per	BATCH-DNN: Adaptive and Dynamic Batching for Multi-DNN Accelerators
Stoll, Dorian	HPC Benchmark Game: Comparing Programming Languages Regarding Energy-Efficiency for Applications from the HPC Field
Strange, Jack	CoreWaterfall: a Virtual-Core-Focused Scheduling and Allocation Algorithm for Oversubscribed Virtual Machines
Sudo, Marcelo Augusto	Mixed precision over GPU applied to a Microphysics model
Suh, Taeweon	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Sun, Ninghui	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
Sun, Penghao	CSGC: Collaborative File System Garbage Collection with Computational Storage
Sun, Yiming	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Suo, Kun	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Szirtes, Botond	Comparative Analysis of Energy Efficiency in Actor-Based Applications in Distributed Environments
Szustak, Lukasz	Boosting Performance of Counting Queries in Machine Learning Applications with a ccNUMA-aware Implementation
Sánchez-Checa, Paula	Comparative Analysis of Algorithms for Malleability Decision-Making in Applications and File Systems
Sánchez-Gallegos, Dante	A framework for flooding early warning leveraging AI, HPC, and computing continuum A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Sánchez-Gallegos, Genaro	Comparative Analysis of Algorithms for Malleability Decision-Making in Applications and File Systems
T
T. Chakradhar, Srimat	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
Tagliaferro de Oliveira Tezoto, Ivan	A Portable Branch-and-Bound Algorithm for Cross-Architecture Multi-GPU Systems
Taillefumier, Mathieu	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Talia, Domenico	Scalable Compression of Massive Data Collections on HPC Systems Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony Building Parallel Machine Learning Workflows in PyCOMPSs: The Case Study of Tsunami Forecasting
Tan, Dongdong	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Tan, Yujuan	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Tan, Yujuan	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Tarraf, Ahmad	Dynamic Data Redistribution for Malleable MPI Frameworks through Virtual Topologies
Terboven, Christian	On-the-fly Performance Analysis of Asynchronous Parallel Execution
Thieu, Gia Bao	A Hybrid DMA-Cache Mechanism to Leverage Memory Bandwidth in Massive-Parallel Processors Portable and Scalable FPGA Emulation of a Massive-Parallel Vector Processor
Thärigen, Ben	On-the-fly Performance Analysis of Asynchronous Parallel Execution Tracking the Critical Path of Execution for GPU Offloading Applications
Toledo Delgado, Pedro Antonio	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Tong, Jie	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Torres, Yuri	Exploiting highly heterogenous systems with stencil applications
Torri, Atte	Near-optimal contraction strategies for the scalar product in the tensor-train format
Tremodeux, Alix	Partial Detectors Versus Replication To Cope With Silent Errors
Trunfio, Paolo	Scalable Compression of Massive Data Collections on HPC Systems Federated Learning in the Edge-Cloud Continuum: A Task-Based Approach with Colony
Trystram, Denis	Alumet: a modular framework to standardize the measurement of energy consumption Analysis of the carbon footprint of HPC
Tsigas, Philippas	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD
Tóth, Melinda	Comparative Analysis of Energy Efficiency in Actor-Based Applications in Distributed Environments
Töpfer, Michal	Tutoring LLM into a Better CUDA Optimizer
U
Uppu, Eshwar	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Utkoor, Rahul	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
V
Valarini, Guilherme	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
van Balen, David	Scheduling Task and Data Parallelism in Array Languages with Work Assisting
van Gastel, Bernard	Partitioning In-Place on Massively Parallel Systems
Varbanescu, Ana Lucia	A Comparative Study of Streaming Graph Processing Systems Wedge-Parallel Triangle Counting for GPUs Millibenchmarking: Using Graph Sampling for Ranking GPU PageRank Implementations
Vetter, Jeffrey	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Videau, Brice	THAPI: Tracing Heterogeneous APIs
Villalvazo-Gutiérrez, Luis	A Computer-aided Framework for Detecting Osteosarcoma in Computed Tomography Scans
Vivas, Aurelio	THAPI: Tracing Heterogeneous APIs
Vivien, Frédéric	Green Scheduling on the Edge
Voss, Michael	A Case Study for Resolving Composability Issues Using a Shared CPU Resource Coordinator
Vrabec, Jadran	Cyclic Data Streaming on GPUs for Short Range Stencils Applied to Molecular Dynamics
W
Wahlgren, Jacob	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Wan, Tianyu	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
Wang, Chao	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Wang, Chao	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Wang, Guifeng	CSGC: Collaborative File System Garbage Collection with Computational Storage
Wang, Honglie	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Wang, Junhui	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Wang, Puxuan	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
Wang, Qi	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Wang, Qingfeng	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Wang, Rui	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Wang, Ruiwen	H2O: Holistic Hyper-Parameter Optimization for Large-Scale Deep Neural Network Training
Wang, Xuan	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Wang, Xuanzheng	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
Wang, Xueying	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Wang, Yaobin	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Wang, Yisu	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Wang, Yongwen	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Wang, Yun	Design and Operation of Elastic GPU-pooling on Campus
Wang, Yunlan	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Wang, Zhenyu	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Wang, Zhisong	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Wang, Zihao	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Wei, Jianwen	Design and Operation of Elastic GPU-pooling on Campus
Weidendorfer, Josef	Malleability in LAIK with MPI Dynamic Processes and PSets
Weiß, Philipp Jan	Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
Werthmann, Julian	Supervised Distributed Computing
Wiesner, Philipp	Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
Wiggins, Samuel	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Wijayawardana, Rajini	Green Scheduling on the Edge
Williams, Jeremy	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Willich, Florian	ScaleRunner: A Fast MPI-based Random Walk Engine for Multi-CPU Systems
Wolf, Felix	Dynamic Data Redistribution for Malleable MPI Frameworks through Virtual Topologies
Wu, Hao	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Wu, Huan	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Wu, Ruilong	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
X
Xi, Mengyue	CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency
Xiao, Nong	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Xie, Xin	CSGC: Collaborative File System Garbage Collection with Computational Storage
Xie, Zuan	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Xiong, Tianyu	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Xiong, Zhenxuan	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Xu, Hongli	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Xu, Yang	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Xue, Jiangying	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Xue, Jingling	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Xue, Ruini	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Y
Yan, Lifeng	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Yan, Wei	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
Yang, Ling	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Yang, Xinrui	SQ-DeAR: Sparsified and Quantized Gradient Compression for Distributed Training
Yao, Chenxuan	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Yao, Xiaoxia	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Yao, Zhiwei	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Ye, Xiaochun	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Ye, Xiaochun	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Yin, Zekun	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Yoon, Youngchul	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
Yoshii, Kazutomo	THAPI: Tracing Heterogeneous APIs
Young, Aaron	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Yu, Feng	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Yuan, Yujie	H2O: Holistic Hyper-Parameter Optimization for Large-Scale Deep Neural Network Training
Yviquel, Hervé	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Yzelman, Albert-Jan N.	Efficient handling of sparse vectors for parallel nonblocking execution in GraphBLAS
Yılmazer, Zafer Bora	Malleability in LAIK with MPI Dynamic Processes and PSets
Z
Zeng, Zhaoyang	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Zgheib, Grace	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Zhang, Jiale	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Zhang, Jiaqi	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Zhang, Jie	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Zhang, Tong	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Zhang, Xianwei	CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Zhang, Xin	DiffNO: Neural Operator Learning using Physically Structured Constrained Diffusion Model
Zhang, Xinyue	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Zhang, Xuan	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Zhang, Xuechen	SCOPE: Accelerating ML data pipeline using cloud-based computational storage IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training
Zhang, Yanqing	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
Zhang, Youhui	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
Zhang, Zhiyuan	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Zhao, Jiacheng	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Zhao, Tianhai	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory
Zheng, Shengan	CSGC: Collaborative File System Garbage Collection with Computational Storage
Zheng, Xinjue	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Zheng, Zhendong	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Zhong, Chengwen	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Zhong, Kan	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Zhong, Zheng	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Zhou, Wenxiang	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Zhou, Xuehai	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Zhou, Ziang	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
Zhu, Qi	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
Zhu, Zihan	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
Zola, Jaroslaw	Boosting Performance of Counting Queries in Machine Learning Applications with a ccNUMA-aware Implementation

Disclaimer | Powered by EasyChair Smart Program