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

This page contains an index consisting of author-provided keywords.

A
Activation Sparsity	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Adaptive scheduling	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
agentic-ai	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
AI	Tutoring LLM into a Better CUDA Optimizer
AI Accelerators	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
AIPC	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Algorithmic Skeletons	Polymorphic Higher-Order GPU Kernels
AlphaTensor	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
Analog in-memory computing	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Approximation ratio	Approximation Bounds for SLACK on Identical Parallel Machines
ARM SVE	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Articulation points	External GPU Biconnected Components
Asynchronous Data Processing	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD
auction	Auction-based Placement of Functions in the Fog at Scale
Auto-scaling	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
Autonomy Loops	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
Autoscaling	ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory
B
Batch processing	External GPU Biconnected Components
Benchmark Suite	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
Biconnected components	External GPU Biconnected Components
Big Data	Scalable Compression of Massive Data Collections on HPC Systems
Bioinformatics	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
bottleneck detection	Noise injection for performance bottleneck analysis
Branch prediction	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Byzantine failures	Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
C
Cache management	Cache Management for Mixture-of-Experts LLMs
Caching / Paging	Cache Management for Mixture-of-Experts LLMs
Caching update	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
carbon cost	Green Scheduling on the Edge
CAS	Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
Checkpointing	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
cloud	Green Scheduling on the Edge
Cloud Computing	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
cloud-to-thing	Auction-based Placement of Functions in the Fog at Scale
Clustering	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Co-Design Framework	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
co-running	KarmaPM: Reward-Driven Power Manager
Code generation	Scheduling Task and Data Parallelism in Array Languages with Work Assisting
Collective Algorithms	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
Collective communication	SQ-DeAR: Sparsified and Quantized Gradient Compression for Distributed Training
Competitive analysis	Cache Management for Mixture-of-Experts LLMs
compilation	Noise injection for performance bottleneck analysis
Compiler Optimization	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Compressed Communication	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Computational Efficiency	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
computational storage device	CSGC: Collaborative File System Garbage Collection with Computational Storage
compute	Auction-based Placement of Functions in the Fog at Scale
Compute Express Link (CXL)	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
Computer architecture	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Concurrent kernel execution	CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency
Consensus	Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
continuum	Auction-based Placement of Functions in the Fog at Scale
Convolutional Neural Networks (CNN)	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
CPU utilization	KarmaPM: Reward-Driven Power Manager
CUDA	Tutoring LLM into a Better CUDA Optimizer
Cut vertices	External GPU Biconnected Components
D
Data Analysis of Scientific Computing	DiffNO: Neural Operator Learning using Physically Structured Constrained Diffusion Model
Data Augmentation	IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training
Data Compression	Scalable Compression of Massive Data Collections on HPC Systems
Data structure	Disaggregated Design for GPU-Based Volumetric Data Structures
datacenter	Design and Operation of Elastic GPU-pooling on Campus
Dataflow Optimization	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Decentralized Federated Learning	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Decentralized Systems	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Decoupled AllReduce	SQ-DeAR: Sparsified and Quantized Gradient Compression for Distributed Training
deep domain adaptation	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Deep Learning	IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training 2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Deep Learning Serving Systems	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Deep Neural Network	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Device Heterogeneity	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
Diffusion Model	DiffNO: Neural Operator Learning using Physically Structured Constrained Diffusion Model
Diffusion Model Accelerator	FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Diffusion Transformers	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Directed Acyclic Task Graph (DATG) scheduling QR factorization	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Disaggregated memory	ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
Distributed Computing	Supervised Distributed Computing
Distributed Systems	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Distributed training	SQ-DeAR: Sparsified and Quantized Gradient Compression for Distributed Training
distributed-computing	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
DNN Training	Saving Memory via Residual Reduction for DNN Training with Compressed Communication NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
Docker containers	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
DPDK	Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU
DSL	Polymorphic Higher-Order GPU Kernels
Dual-Cache	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Dynamic caching method	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
dynamic programming	Near-optimal contraction strategies for the scalar product in the tensor-train format
Dynamic Resource Allocation	DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs
Dynamic Resource Management	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
E
Edge Accelerators	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
Edge AI	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering On-Device Federated Learning for Remote Alpine Livestock Monitoring
Edge computing	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Edge Network	MPLS: Stacking Diverse Layers into One Model for Decentralized Federated Learning
edge platform	Green Scheduling on the Edge
Education	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights
Efficiency	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
Efficient Inference on Local platforms	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Elastic HPC	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Elixir	Polymorphic Higher-Order GPU Kernels
Embedding Table	ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory
Emerging Memory System	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
energy-aware algorithms	Green Scheduling on the Edge
Ethernet	Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU
F
FaaS	Auction-based Placement of Functions in the Fog at Scale
Fault Tolerance	Supervised Distributed Computing
Federated Learning	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators On-Device Federated Learning for Remote Alpine Livestock Monitoring
FIM	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
First-principles materials simulation	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Floating-Point Non-Associatvity	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
fog	Auction-based Placement of Functions in the Fog at Scale
FPGA Accelerator	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
function-as-a-service	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems Auction-based Placement of Functions in the Fog at Scale
Functional array languages	Scheduling Task and Data Parallelism in Array Languages with Work Assisting
G
garbage collection	CSGC: Collaborative File System Garbage Collection with Computational Storage
Generate code	Tutoring LLM into a Better CUDA Optimizer
Gigapixel Images	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
GPU	Partitioning In-Place on Massively Parallel Systems Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory Disaggregated Design for GPU-Based Volumetric Data Structures Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU External GPU Biconnected Components
GPU Acceleration	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
GPU allocation	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
GPU cache management	CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency
GPU code generation	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
GPU scheduling	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
GPUs	Polymorphic Higher-Order GPU Kernels Design and Operation of Elastic GPU-pooling on Campus Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Grace Hopper	Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU
Gradient compression	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning SQ-DeAR: Sparsified and Quantized Gradient Compression for Distributed Training
Graph Neural Network (GNN)	Cocache: An Accurate And Low-overhead Dynamic Caching Method for GNNs
Graph Neural Networks	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
graph partitioning	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
Graph Processing	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration Wedge-Parallel Triangle Counting for GPUs
Green's Function	DiffNO: Neural Operator Learning using Physically Structured Constrained Diffusion Model
Grid’5000	Auction-based Placement of Functions in the Fog at Scale
H
Hardware Acceleration	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Hardware overprovisioning	KarmaPM: Reward-Driven Power Manager
Hardware-Efficient Inference	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Heterogeneous Architecture	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR FDHA: Fusion-Driven Heterogeneous Accelerator for Efficient Diffusion Model Inference
Heterogeneous computing	CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Heterogeneous Density Problem	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
High-performance Computing	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
High-Performance Computing (HPC)	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
High-performance numerical computing	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
HPC	THAPI: Tracing Heterogeneous APIs Priority-BF: a Task Manager for Priority-Based Scheduling An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment Scalable Compression of Massive Data Collections on HPC Systems Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
HPC Cluster	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
HPC workloads	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
I
imperfect verification	Partial Detectors Versus Replication To Cope With Silent Errors
Importance Sampling	IAUG: Accelerating Augmentation with Importance Sampling in Deep Neural Network Training
in situ	Priority-BF: a Task Manager for Priority-Based Scheduling
Independent Learning	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Index structures	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory
Inference	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Inference Acceleration	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Inference Optimization	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
IoT Sensors	On-Device Federated Learning for Remote Alpine Livestock Monitoring
iterative algorithm	Partial Detectors Versus Replication To Cope With Silent Errors
J
Job Scheduling	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
K
Kernel pairing	CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency
kubernetes	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
KV cache	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
L
Large Graph	DCI: An Efficient Workload-Aware Dual-Cache Allocation GNN Inference Acceleration System
Large Language Models	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism DynoInfer: Adaptive Resource Orchestration for LLM Inference on Resource-Constrained PCs CacheC: LLM-based GPU Cache Management to Enhance Kernel Concurrency Cache Management for Mixture-of-Experts LLMs ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Large-scale graphs	External GPU Biconnected Components
latency detection	Partial Detectors Versus Replication To Cope With Silent Errors
LBM	Disaggregated Design for GPU-Based Volumetric Data Structures
Livestock Monitoring	On-Device Federated Learning for Remote Alpine Livestock Monitoring
LLM	Tutoring LLM into a Better CUDA Optimizer
LLM Inference	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
LLM serving	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
LLMs	A Sparsity Predicting Approach for General Large Language Models via Activation Pattern Clustering
LLVM	Noise injection for performance bottleneck analysis
Load Balancing	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
load-balancing	Bifröst: Peer-to-peer Load-balancing for Function Execution in Agentic AI Systems
log-structured file system	CSGC: Collaborative File System Garbage Collection with Computational Storage
M
Machine Learning	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Machine Learning Workflows	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Memory Mapping	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism
Memory Resource Provisioning	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Memory Saving	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
Mixture-of-Experts	Leveraging Expert Usage to Speed up LLM Inference with Expert Parallelism CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
MLIR	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR
Model Compression	Light-DiT: An Importance-Aware Dynamic Compression Framework for Diffusion Transformers
Model Partitioning	ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
MPI	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
MPI Collective I/O	ScaleRunner: A Fast MPI-based Random Walk Engine for Multi-CPU Systems
Multi-Agent Reinforcement Learning	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Multi-DNN accelerators	BATCH-DNN: Adaptive and Dynamic Batching for Multi-DNN Accelerators
Multi-DNN Inference Serving	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Multi-GPU Training	Accelerating Independent Multi-Agent Reinforcement Learning on Multi-GPU Platforms
Multi-threaded	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
multilinear algebra	Near-optimal contraction strategies for the scalar product in the tensor-train format
N
Neural networks	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
Neural operators	DiffNO: Neural Operator Learning using Physically Structured Constrained Diffusion Model
Neuromorphic Computing	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
noise injection	Noise injection for performance bottleneck analysis
Nonlinear constrained optimization	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Novel Architectures	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
numerical linear algebra	Near-optimal contraction strategies for the scalar product in the tensor-train format
O
Observability	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
On-chip memory	BATCH-DNN: Adaptive and Dynamic Batching for Multi-DNN Accelerators
Online trainning	SONet: Towards Practical Online Neural Network for Enhancing Hard-To-Predict Branches
OpenMP	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Opreation Fusion	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Opreation Split	CoSF: A Co-Optimization Framework for Operator Splitting and Fusion
Optimal Transport	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Optimizations	Tutoring LLM into a Better CUDA Optimizer
Out-of-core processing	External GPU Biconnected Components
P
Parallel	Disaggregated Design for GPU-Based Volumetric Data Structures
Parallel Algorithms	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD Partitioning In-Place on Massively Parallel Systems
Parallel Computing	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs Scalable Compression of Massive Data Collections on HPC Systems
Parallel Computing on GPUs	Wedge-Parallel Triangle Counting for GPUs
Parallel Graph Computations	ScaleRunner: A Fast MPI-based Random Walk Engine for Multi-CPU Systems
Parallel Processing	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Parallel Programming	Polymorphic Higher-Order GPU Kernels Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Parallel SGD	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD
Parsl	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Partitioning	Partitioning In-Place on Massively Parallel Systems
Peer-to-peer Networks	Supervised Distributed Computing
performance analysis	Making MPI Collective Operations Visible: Understanding Their Utility and Algorithmic Insights Noise injection for performance bottleneck analysis
Performance optimaztion	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Phase Analysis	SimPoint+: More Stable, Accurate and Efficient Program Analysis
PMIx	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Program Analysis	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Programming	Tutoring LLM into a Better CUDA Optimizer
Programming models	THAPI: Tracing Heterogeneous APIs
Pruning	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Pyramidal Analysis	Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
Q
QoS	Auction-based Placement of Functions in the Fog at Scale
quality of service	Auction-based Placement of Functions in the Fog at Scale
Quantization	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
Quantum Algorithm	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Quantum Data Storage	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Quantum Image Processing	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
Quantum Signal Processing	Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency
R
Radio Astronomy	Breaking the I/O Barrier: 1.2 Tb/s Ethernet Packet Processing on a GPU
Random Walks	ScaleRunner: A Fast MPI-based Random Walk Engine for Multi-CPU Systems
Recommender system	ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory
Rejection Sampling	ScaleRunner: A Fast MPI-based Random Walk Engine for Multi-CPU Systems
Remote Offloading	Scalable OpenMP Remote Offloading via Asynchronous MPI and Coroutine-Driven Communication
Reproducibility	Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
Residual	Saving Memory via Residual Reduction for DNN Training with Compressed Communication
resilience	Partial Detectors Versus Replication To Cope With Silent Errors
Resource Adaptivity	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments
Resource Allocation	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
Resource Management	An Autonomy Loop for Dynamic HPC Job Time Limit Adjustment
RISC-V	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
RTL simulation	Scalable Code Generation for RTL Simulation of Deep Learning Accelerators with MLIR SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
S
Sampled Simulation	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Scalable Vector Extension	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
scalar product	Near-optimal contraction strategies for the scalar product in the tensor-train format
Scheduling	Scheduling Task and Data Parallelism in Array Languages with Work Assisting Priority-BF: a Task Manager for Priority-Based Scheduling Approximation Bounds for SLACK on Identical Parallel Machines ScheInfer: Efficient Inference of Large Language Models with Task Scheduling on Moderate GPUs.
Scheduling and resource management	Design and Operation of Elastic GPU-pooling on Campus
Scientific Workflows	Enabling Elasticity in Scientific Workflows for High Performance Computing Systems
Sequencing read alignment	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Sequential Least-Squares Quadratic Programming(SLSQP)	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
Serverless	ServerlessRec: Fast Serverless Inference for Embedding-based Recommender Systems with Disaggregated Memory Auction-based Placement of Functions in the Fog at Scale
Serverless Computing	HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
service-level agreement	Auction-based Placement of Functions in the Fog at Scale
Shared Memory	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs Byzantine-Tolerant Consensus in GPU-Inspired Shared Memory
silent error	Partial Detectors Versus Replication To Cope With Silent Errors
Simulation	Disaggregated Design for GPU-Based Volumetric Data Structures
Simulation Point	SimPoint+: More Stable, Accurate and Efficient Program Analysis
Skipping Non-Zero (SkipNZ)	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
SLA	Auction-based Placement of Functions in the Fog at Scale
SLACK	Approximation Bounds for SLACK on Identical Parallel Machines
Slurm	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
SMT Processors	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Sparse Architectures	SkipNZ: Non-Zero Value Skipping for Efficient CNN Acceleration
Sparse LU fatorization	Uniform Dense Blocking for Efficient Sparse LU Factorization in First-principles Materials Simulation
Sparse Matrix Multiplication	AlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference
Sparse Tensor Cores	2:4 Pruning on Edge Devices: Performance, Energy Efficiency and Accuracy
Spiking Neural Network	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-based Neuromorphic Processors
Staleness	Interval-Asynchrony: Delimited Intervals of Localised Asynchrony for Fast Parallel SGD
Stream Processing	SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure
Sub-batching and Sub-batch merging	BATCH-DNN: Adaptive and Dynamic Batching for Multi-DNN Accelerators
Subtoken	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse
Sunway architecture	SWBWA: A Highly Efficient NGS Aligner on the New Sunway Architecture
Sustainable AI	Federated Learning within Global Energy Budget over Heterogeneous Edge Accelerators
system throughput	KarmaPM: Reward-Driven Power Manager
Systems for Machine Learning	NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
T
task graph parallelism	SimPart: A Simple Yet Effective Replication-aided Partitioning Algorithm for Logic Simulation on GPU
Task-Operator Co-Scheduling	TopServe: Task-Operator Co-Scheduling for Efficient Multi-DNN Inference Serving on GPUs
Task-parallel linear algebra computations	Efficient Task Graph Scheduling for Parallel QR Factorization in SLSQP
tensor contraction ordering	Near-optimal contraction strategies for the scalar product in the tensor-train format
tensor decomposition	Near-optimal contraction strategies for the scalar product in the tensor-train format
tensor-train decomposition	Near-optimal contraction strategies for the scalar product in the tensor-train format
testbed	Auction-based Placement of Functions in the Fog at Scale
Thread-to-Core Allocation Policies	WAPA: A Workload-Agnostic CPI-Based Thread-to-Core Allocation Policy
Trace-driven Simulation	TSim4CXL: Trace-driven Simulation Framework for CXL-based High-Performance Computing Systems
Tracing and monitoring	THAPI: Tracing Heterogeneous APIs
transfer learning	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Transform code	Tutoring LLM into a Better CUDA Optimizer
Triangle Counting	Wedge-Parallel Triangle Counting for GPUs
Trusted Execution Environment	ParTEE:A Framework for Secure Parallel Computing of RISC-V TEEs
V
Vector Unit	ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace
Vertical scaling	ARC-V: Vertical Resource Adaptivity for HPC Workloads in Containerized Environments HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences CGP-Graphless: Towards Efficient Serverless Graph Processing via CPU-GPU Pipelined Collaboration
Virtualization	Design and Operation of Elastic GPU-pooling on Campus
Vision Transformer	CoQMoE: Co-Designed Quantization and Computation Orchestration for Mixture-of-Experts Vision Transformer on FPGA
W
Wedge-Parallel Approaches	Wedge-Parallel Triangle Counting for GPUs
workload prediction	Container Workload Prediction Using Deep Domain Adaptation in Transfer Learning
Write optimization	GECKO: A Write-optimized Hybrid Index based on Disaggregated Memory

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