EURO-PAR 2026: 32ND INTERNATIONAL EUROPEAN CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING

A
Acun, Fatih	Privacy-Preserving Data Center Demand Response using Multi-Party Computation
Adam, Ivane	Fast Checkpointing in Disaggregated Persistent Memory
Ahmadzada, Eyvaz	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Al Asif, Abdullah	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
Al Hafiz, Muhammad Ihsan	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
Aldinucci, Marco	Accelerating Sharded Data Parallelism at Scale with Federated Learning QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Alomairy, Rabab	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Altamura, Luigi	SISA: A Scale-In Systolic Array for GEMM Acceleration
Alvarez, Bruno	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
An, Jianfeng	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
An, Xuejun	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Antonopoulos, Christos	PeakLife: Proactive VM Management via Joint Forecasting
Antoun, Thierry	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
Aoki, Masumi	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Appuswamy, Raja	X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis
B
Badwaik, Jayesh	Performance Portable BLAS3 Micro-kernel Generator
Baek, Woongki	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU Performance Analysis of Hardware-Accelerated Compressed Memory Swap
Bartakke, Prasanna	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Behera, Nibedita	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Bellas, Nikolaos	PeakLife: Proactive VM Management via Joint Forecasting
Benoit, Anne	Throughput Optimization for Multi-level Speculative Decoding Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Bian, Haodong	GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization
Bifulco, Mario	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Bischof, Christian	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Bobin, Jérome	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
Boella, Elisabetta	RISC-V for HPC: How Ready Are We?
Bolle, Sébastien	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Bourgeois, Rémi	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
Brandic, Ivona	Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities
Burnaz-Fresse, Virginie	Characterizing GPU Warm-Up Beyond Data Transfers
Burns, Randal	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
C
Campos, Cristian	CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures
Carrica, Vicki	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Cerf, Sophie	Beyond efficiency: feedback-based resource management to limit computing impacts
Chang, Che	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Chang, Chih-Chun	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Chang, Qixin	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Chang, Zihan	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Chawla, Prateek	Performance Portable BLAS3 Micro-kernel Generator
Chen, Jolly	Assessing the Performance Impact of Data Layouts: a Benchmarking Approach
Chen, Junru	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Chen, Qingchun	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
Chen, Weijian	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Chen, Xinzhe	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Chen, Yidong	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Chiu, Cheng-Hsiang	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Cho, Yeongon	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Choi, Jee	A Task Parallel Algorithm For Fast Hybridized PDE Solvers
Choi, Jiheon	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
Choi, Jinhyeok	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Chung, Yi-Hua	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Cicero, Alessio	SISA: A Scale-In Systolic Array for GEMM Acceleration
Constantinescu, Denisa	Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens
Coskun, Ayse K.	Privacy-Preserving Data Center Demand Response using Multi-Party Computation
Cui, Huimin	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
D
Da, Wei	Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
Dadamis, Phivos	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Damink, Niek	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality
De Palma, Noël	Fast Checkpointing in Disaggregated Persistent Memory
Delamea, Quentin	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Depei, Qian	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Du, Jiangsu	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Du, Shaokang	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Duan, Xiaohui	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Dufrechou, Ernesto	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
E
Edelman, Alan	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Erickson, Brittany	A Task Parallel Algorithm For Fast Hybridized PDE Solvers
Ezzatti, Pablo	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
F
Fan, Zhihua	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Fang, Juan	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
Favaro, Federico	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
Fazio, Maria	Intelligent resource management in distributed infrastructures
Feng, Xiaobing	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Ferguson, Maxwell	How much slack is in a multiprocessor schedule?
Fohry, Claudia	A Brief Survey of Task-Level Resilience Techniques
Fröning, Holger	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Fu, Jiantao	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
G
G. Navarro, Angeles	CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures
G. O. Passos, Fernanda	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Gallé, Romain	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
Gao, Jianhua	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Gao, Lu	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
Garcia Gasulla, Marta	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Garcia-Robledo, Alberto	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality
Gautier, Thierry	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
Ge, Danying	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Georgiadou, Antigoni	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Gokhale, Maya	Communication Offloading on SmartNIC DPUs: A Quantitative Approach Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Gonzalez-Navarro, Sonia	CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures
Gravara, Milos	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Gschwandtner, Philipp	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models
Gu, Hongyaoxing	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Guan, Hongtao	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Gunopulos, Dimitrios	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Gurhem, Jérome	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Guzelhan, Seyda Nur	Privacy-Preserving Data Center Demand Response using Multi-Party Computation
Götz, Stefan	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
H
Hailong, Yang	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Hankendi, Can	Privacy-Preserving Data Center Demand Response using Multi-Party Computation
Hao, Zhaoyang	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
He, Lianhua	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
He, Nan	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
He, Shuibing	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Helbecque, Guillaume	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
Heldmann, Tim	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Herten, Andreas	Performance Portable BLAS3 Micro-kernel Generator
Hong, An	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Hou, Rui	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Houzet, Dominique	Characterizing GPU Warm-Up Beyond Data Transfers
Hu, Andong	Communication Offloading on SmartNIC DPUs: A Quantitative Approach
Hu, Lijuan	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Hu, Xiabing	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Huang, Chun	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Huang, Han	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Huang, Jinhuang	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
Huang, Tsung-Wei	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
Huo, Yuzhou	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
I
Irie, Hidetsugu	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Iwainsky, Christian	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Iyer, Mahesh A.	Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms
J
Jannesari, Ali	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
Jarvis, Stephen	Constraint Driven Global Data Layout Optimization for Tensor Expressions
Jetzinger, Fabian	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
Ji, Weixing	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Jiajun, Cheng	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Jiang, Qizhi	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Jiaxing, Qi	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Jin, Runfeng	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Jin, Zhong	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Joshi, Ajay	Privacy-Preserving Data Center Demand Response using Multi-Party Computation
Jun, Shi	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Junshi, Chen	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Jurcut, Anca	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
K
Kabadzhov, Ivan Donchev	X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis
Kadomoto, Junichiro	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Kalogeraki, Vana	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Kalyvianaki, Evangelia	Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
Ke, Zhiwei	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Ke, Zhiwei	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
Kim, Kyung Min	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Kim, Sowoong	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Kim, Uichan	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Kirschenmann, Wilfried	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Kochendörfer, Nils	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Kokh, Samuel	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
Koo, Gunjae	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Korch, Matthias	How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors
Koutsiamanis, Remous-Aris	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Kreutzer, Sebastian	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Krishna, M. Venkata	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Kshemkalyani, Ajay	An Event-based Causality Model for Mobile Multiagent Systems
Kuiying, Ban	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Kulkarni, Sandeep S	Asynchronous Checkpoint for Eventually Consistent Databases
Kumar, Ashwina	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Kumar, Rahul	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
L
Labarta Mancho, Jesus	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Lai, Zhiquan	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Lalis, Spyros	PeakLife: Proactive VM Management via Joint Forecasting
Lathuiliere, Bruno	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Lefèvre, Laurent	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Lemaitre, Florian	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Li, Dongsheng	SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Li, Guangli	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Li, Haowei	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Li, Haozhe	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Li, Kai	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Li, Kenli	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Li, Qi	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Li, Qing	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Li, Qiong	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Li, Shengwei	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Li, Tao	Adaptive Fault Tolerance in Time-Sensitive Networking
Li, Wenming	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Li, Zhengxiong	SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
Li, Zhenxin	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Liang, Wenhao	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Lim, Jangho	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Lin, Pei-Hung	Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Liokouras, Badia	Velvet: Parallel Divide-and-Conquer in Safe Rust
Liu, Bowen	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Liu, Fangfang	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Liu, Hailong	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Liu, Han	OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Liu, Huimin	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Liu, Tianyu	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Liu, Ting	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Liu, Waixi	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
Liu, Weiguo	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Liu, Weijie	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Liu, Yiming	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
Liu, Yiming	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Liu, Yiwen	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Longsheng, Song	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Lopo Silva, Bernardo	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Lorenzon, Arthur	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Lou, Wenqi	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Lu, Shenghui	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
Lu, Tao	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Lu, Yutong	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Luis Herrera, Juan	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Luo, Fan	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Luo, Yingwei	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
M
Ma, Junshuang	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Ma, Wenjing	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Ma, Wenliang	Adaptive Fault Tolerance in Time-Sensitive Networking
Ma, Yingjin	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Madhyastha, Meghana	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
Maleki, Mohammad Ali	SISA: A Scale-In Systolic Array for GEMM Acceleration
Marchal, Loris	Throughput Optimization for Multi-level Speculative Decoding
Marinelli, Eugenio	X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis
Matsutani, Hiroki	Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs
Mazaheri, Arya	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
McLaughlin, Joseph	A Task Parallel Algorithm For Fast Hybridized PDE Solvers
Medina, Francesco	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Medić, Doriana	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework An Intermediate Representation for Heterogeneous Environments
Melab, Nouredine	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
Menaud, Jean-Marc	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Menra, Romial	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Messer, Bronson	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Meyerhenke, Henning	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Miao, Hongbo	GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization
Miao, Yi	Constraint Driven Global Data Layout Optimization for Tensor Expressions
Ming, Qi	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
Misra, Anshuman	An Event-based Causality Model for Mobile Multiagent Systems
Mittone, Gianluca	Accelerating Sharded Data Parallelism at Scale with Federated Learning
Moltó, Germán	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
Muñoz, Juan Pablo	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
N
Nandanikar, Tanmay	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
Nasre., Rupesh	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Nassyr, Stepan	Performance Portable BLAS3 Micro-kernel Generator
Nastic, Stefan	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Naumann, Axel	Assessing the Performance Impact of Data Layouts: a Benchmarking Approach
Navaux, Philippe	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Nica, Robert	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
Nicolae, Bogdan	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
Nissim, Roy	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Niu, Qingyun	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
O
Obrecht, Adrien	Throughput Optimization for Multi-level Speculative Decoding
Ogras, Umit	SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
Oh, Sangyoon	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
Oliver, Juan	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
P
Pan, Zhe	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Pandian M, Rajesh	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Park, Sangwoo	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Passos, Diego	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Pearce, Roger	Communication Offloading on SmartNIC DPUs: A Quantitative Approach
Pei, Jinglei	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Peng, Ivy	Communication Offloading on SmartNIC DPUs: A Quantitative Approach Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Pierson, Jean-Marc	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Pleiter, Dirk	Performance Portable BLAS3 Micro-kernel Generator
Podobas, Artur	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
Polo, Jordà	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Prasanna, Viktor	Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms
Pu, Yujie	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Pullen, Alexander	How much slack is in a multiprocessor schedule?
Q
Qian, Hao	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Quan, Wei	Adaptive Fault Tolerance in Time-Sensitive Networking
R
Rassau, Nick	Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
Rauber, Thomas	How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors
Ravishankar, Raaghav	Asynchronous Checkpoint for Eventually Consistent Databases
Rebello, Vinod	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Reinstädtler, Henrik	Efficient Parallel Algorithms for Hypergraph Matching
Ren, Bin	PeakLife: Proactive VM Management via Joint Forecasting
Ren, Pengju	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Ringoot, Evelyne	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Robert, Yves	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Ropars, Thomas	Fast Checkpointing in Disaggregated Persistent Memory
Rosinosky, Guillaume	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Rouzaud-Cornabas, Jonathan	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
Roversi, Luca	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Royuela, Sara	Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability
S
Sanders, Peter	Engineering Scalable Distributed List Ranking
Sarma, Aditya Das	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Sawicki, Bartosz	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
Schimek, Matthias	Engineering Scalable Distributed List Ranking
Schuhknecht, Felix	Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
Schulz, Christian	Efficient Parallel Algorithms for Hypergraph Matching
Schulz, Karl	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Schweisgut, Dominik	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Seah, Winston	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
Seibel, Daniel	Performance Portable BLAS3 Micro-kernel Generator
Seitz, Valentin	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Shaowen, Li	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Shatri Ahmeti, Hana	How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors
Shekofteh, S.-Kazem	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Shi, Jianjun	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Shi, Ruimin	Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Shin, Dongin	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Shin, Sangwon	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Shin, Woong	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Shin, Youngsam	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Shizhe, Shang	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Shu, Yanjun	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Sim, Eunyeong	Performance Analysis of Hardware-Accelerated Compressed Memory Swap
Sinnen, Oliver	How much slack is in a multiprocessor schedule?
Sitchinava, Nodari	Efficient Parallel Algorithms for Hypergraph Matching
Smirni, Evgenia	PeakLife: Proactive VM Management via Joint Forecasting
Spiizer, Yuval	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Stanisic, Andrija	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Stolf, Patricia	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Su, Huayou	SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs
Sugita, Shu	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Sugiura, Naoto	Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs
Suh, Taeweon	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Sun, Bowen	PeakLife: Proactive VM Management via Joint Forecasting
Sun, Gang	Adaptive Fault Tolerance in Time-Sensitive Networking
Sun, Zhigang	Adaptive Fault Tolerance in Time-Sensitive Networking
T
Tang, Shengzhong	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Tang, Yu	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Tchaleu Ngankeu, Erwan	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Teruel, Xavier	Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Thoman, Peter	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models
Thomas, Mathew	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Tian, Yingqi	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Tixier, Julien	Characterizing GPU Warm-Up Beyond Data Transfers
Tokusashi, Yuta	Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs
Toledo, Mariana	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Tomaras, Dimitrios	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Trancoso, Pedro	SISA: A Scale-In Systolic Array for GEMM Acceleration
Tremblin, Pascal	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
U
Uhl, Tim Niklas	Engineering Scalable Distributed List Ranking
Underwood, Robert	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
V
Vaidya, Nitin H	Asynchronous Checkpoint for Eventually Consistent Databases
Valois, Jean-Philippe	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
van Nieuwpoort, Rob V.	Velvet: Parallel Divide-and-Conquer in Safe Rust
van Werkhoven, Ben	Velvet: Parallel Divide-and-Conquer in Safe Rust
Varbanescu, Ana Lucia	Assessing the Performance Impact of Data Layouts: a Benchmarking Approach
Vinyals Ylla Catala, Joan	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Vázquez Maceiras, Mateo	SISA: A Scale-In Systolic Array for GEMM Acceleration
W
Wahlgren, Jacob	Communication Offloading on SmartNIC DPUs: A Quantitative Approach
Walliser, Fabian	Efficient Parallel Algorithms for Hypergraph Matching
Wang, Chao	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Wang, Cui	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Wang, Haotian	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Wang, Wei	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Wang, Xiaolin	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Wang, Xueying	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Wang, Yuening	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
Wang, Zhenlin	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Wang, Zhiguang	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
Wang, Zicong	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Wang, Ziqi	SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs
Weidmann, Thomas	Engineering Scalable Distributed List Ranking
Wentao, Feng	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Werner, Tim	How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors
White III, James	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
Wiggins, Samuel	Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms
Wu, Qinghua	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
X
Xiao, Nong	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Xiao, Sheng	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Xiaoyu, Hao	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Xie, Feng	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Xu, Gang	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
Xu, Xiaodong	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
Xu, Xuezheng	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Xue, Jingling	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Y
Yan, Lifen	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Yang, Deheng	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Yang, Hui	Adaptive Fault Tolerance in Time-Sensitive Networking
Yang, Jingbin	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Yang, Qian	Adaptive Fault Tolerance in Time-Sensitive Networking
Yang, Siling	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Yang, Wangdong	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Yang, Zehua	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Yang, Zhao	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Yang, Zhengbang	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Ye, Xiaochun	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Ye, Zhisheng	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Yi, Chenke	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
You, Xin	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Yu, Haishuo	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
Yu, Sixing	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
Z
Zangiabady, Mahboobeh	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality
Zgheib, Grace	Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms
Zhai, Ran	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
Zhang, Boyang	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
Zhang, Junyang	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Zhang, Xianwei	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Zhang, Xuechen	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Zhang, Zhan	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Zhao, Boyan	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
Zhao, Chen	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Zhao, Jiacheng	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Zhao, Lutan	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Zhao, Wenzhe	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Zhao, Yuwen	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Zheng, Tengyang	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Zheng, Xiao	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Zheng, Yinhang	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
Zheng, Zhenyi	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Zhongyu, Yu	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Zhongzhi, Luan	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Zhou, Baojian	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Zhou, Diyu	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Zhou, Xuehai	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Zhou, Xuehai	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
Ziyi, Song	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Zou, Yonghao	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Zuo, Decheng	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Zuo, Fengrui	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Zuo, Fengrui	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design

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