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

A
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
Allen, Bryce	THAPI: Tracing Heterogeneous APIs
Almeida Rodríguez, Francisco Carmelo	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
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
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
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
Bai, Zhuoxin	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Banerjee, Roopkatha	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
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
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
Blanco Pérez, Vicente José	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
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
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
Cavalheiro, Gerson	Polymorphic Higher-Order GPU Kernels
Cendrier, Joachim	Green Scheduling on the Edge
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
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	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
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
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
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
de Oliveira Castro, Pablo	Noise injection for performance bottleneck analysis
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
Dhar, Nobel	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Dmitry, Tovmachenko	Design and Operation of Elastic GPU-pooling on Campus
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
Duan, Xiaohui	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Dugois, Anthony	Approximation Bounds for SLACK on Identical Parallel Machines
E
Eswar, Ananth	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
F
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
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
Fetita, Catalin	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Frisch, Dustin	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
G
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
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
Ghafoor, Sheikh	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Ghiasvand, Siavash	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
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, Shijia	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
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
H
Ha, Soonhoi	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
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
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
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	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
I
Islam, Md Romyull	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
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
Jecker, Ismaël	Approximation Bounds for SLACK on Identical Parallel Machines
Jiang, Shui	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
K
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
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
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, Sunil	KarmaPM: Reward-Driven Power Manager
Kumar, Vivek	KarmaPM: Reward-Driven Power Manager
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
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, 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
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
Luo, Yi	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
M
Mahmoud, Ahmed	Disaggregated Design for GPU-Based Volumetric Data Structures
Manaswini, Piduguralla	Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
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
Marozzo, Fabrizio	Scalable Compression of Massive Data Collections on HPC Systems
Medeiros, Daniel	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Meneghin, Massimiliano	Disaggregated Design for GPU-Based Volumetric Data Structures
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
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
Mu, Yudong	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Muralidharan, Servesh	THAPI: Tracing Heterogeneous APIs
N
Nandivada, Venkata Krishna	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Navarro, Marta	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
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
Ogras, Umit Yusuf	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Ou, Yang	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
P
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.
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
Pei, Songwen	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
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	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
Pham, Ngoc-Son	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Piantanida, Pablo	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
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
Prasanna, Viktor	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Pritchard, Howard	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Pu, Jin	CSGC: Collaborative File System Garbage Collection with Computational Storage
Q
Qi, Zhengwei	Design and Operation of Elastic GPU-pooling on Campus
Qu, Peng	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
R
Ramakrishna, Gadhamsetty	External GPU Biconnected Components
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
Rauber Du Bois, Andre	Polymorphic Higher-Order GPU Kernels
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
Robert, Yves	Partial Detectors Versus Replication To Cope With Silent Errors Green Scheduling on the Edge
Romein, John W.	Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU
Rongon, Rubayet Rahman	IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training
Roth, Anna-Lena	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
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
Sankar Banerjee, Dip	External GPU Biconnected Components
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
Scholz, Johannes	On-Device Federated Learning for Remote Alpine Livestock Monitoring
Scholz, Sven-Bodo	Partitioning In-Place on Massively Parallel Systems
Sedova, Ada	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
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.
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
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
Spaan, Jeffrey	Wedge-Parallel Triangle Counting for GPUs
Stenstrom, Per	BATCH-DNN: Adaptive and Dynamic Batching for Multi-DNN Accelerators
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
T
T. Chakradhar, Srimat	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI 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
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
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
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
Tsigas, Philippas	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD
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	Wedge-Parallel Triangle Counting for GPUs
Vetter, Jeffrey	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Videau, Brice	THAPI: Tracing Heterogeneous APIs
Vivas, Aurelio	THAPI: Tracing Heterogeneous APIs
Vivien, Frédéric	Green Scheduling on the Edge
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, 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
Werthmann, Julian	Supervised Distributed Computing
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
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
Yviquel, Hervé	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
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	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

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