Image de couverture de livre

Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lacey, Dane C., Alappat, Christie L., Lange, Florian, Hager, Georg, Fehske, Holger, Wellein, Gerhard
Format:	Preprint
Publié:	2024
Sujets:	Distributed, Parallel, and Cluster Computing Performance
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Algebraic Temporal Blocking for Sparse Iterative Solvers on Multi-Core CPUs
par: Alappat, Christie, et autres
Publié: (2023)

GROMACS Unplugged: How Power Capping and Frequency Shapes Performance on GPUs
par: Afzal, Ayesha, et autres
Publié: (2025)

Microarchitectural comparison and in-core modeling of state-of-the-art CPUs: Grace, Sapphire Rapids, and Genoa
par: Laukemann, Jan, et autres
Publié: (2024)

Analytic Roofline Modeling and Energy Analysis of LULESH Proxy Application on Multi-Core Clusters
par: Afzal, Ayesha, et autres
Publié: (2024)

CloverLeaf on Intel Multi-Core CPUs: A Case Study in Write-Allocate Evasion
par: Laukemann, Jan, et autres
Publié: (2023)

Wattlytics: A Web Platform for Co-Optimizing Performance, Energy, and TCO in HPC Clusters
par: Afzal, Ayesha, et autres
Publié: (2026)

Alya towards Exascale: Optimal OpenACC Performance of the Navier-Stokes Finite Element Assembly on GPUs
par: Owen, Herbert, et autres
Publié: (2024)

CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems
par: Rashid, Md Hasanur, et autres
Publié: (2026)

Can Tensor Cores Benefit Memory-Bound Kernels? (No!)
par: Zhang, Lingqi, et autres
Publié: (2025)

On Orchestrating Parallel Broadcasts for Distributed Ledgers
par: Sheng, Peiyao, et autres
Publié: (2024)

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures
par: Ma, Bole, et autres
Publié: (2026)

AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase
par: Nicusan, Andrei-Leonard, et autres
Publié: (2025)

THEAS: Efficient Power Management in Multi-Core CPUs via Cache-Aware Resource Scheduling
par: Muhammad, Said, et autres
Publié: (2025)

Automated Calibration of Parallel and Distributed Computing Simulators: A Case Study
par: McDonald, Jesse, et autres
Publié: (2024)

Understanding Power Consumption Metric on Heterogeneous Memory Systems
par: Proaño, Andrès Rubio, et autres
Publié: (2024)

SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
par: Zhuang, Chen, et autres
Publié: (2025)

Analytical Performance Estimation during Code Generation on Modern GPUs
par: Ernst, Dominik, et autres
Publié: (2022)

Is Sparse Matrix Reordering Effective for Sparse Matrix-Vector Multiplication?
par: Asudeh, Omid, et autres
Publié: (2025)

Automated Programmatic Performance Analysis of Parallel Programs
par: Cankur, Onur, et autres
Publié: (2024)

Staging Blocked Evaluation over Structured Sparse Matrices
par: Das, Pratyush, et autres
Publié: (2024)

KEET: Explaining Performance of GPU Kernels Using LLM Agents
par: Davis, Joshua H., et autres
Publié: (2026)

Optimal Parallel Scheduling under Concave Speedup Functions
par: Li, Chengzhang, et autres
Publié: (2025)

Recorder: Comprehensive Parallel I/O Tracing and Analysis
par: Wang, Chen, et autres
Publié: (2025)

FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow
par: Heidari, Sina, et autres
Publié: (2026)

ParaLog: Consistent Host-side Logging for Parallel Checkpoints
par: Chien, Steven W. D., et autres
Publié: (2024)

Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P
par: Dutt, Anurag, et autres
Publié: (2025)

Fault-Tolerant Hybrid-Parallel Training at Scale with Reliable and Efficient In-memory Checkpointing
par: Wang, Yuxin, et autres
Publié: (2023)

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe
par: Andersson, Måns I., et autres
Publié: (2025)

Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation
par: Wang, Tuowei, et autres
Publié: (2024)

HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices
par: Zhao, Xuanlei, et autres
Publié: (2024)

Parallel I/O Characterization and Optimization on Large-Scale HPC Systems: A 360-Degree Survey
par: Ather, Hammad, et autres
Publié: (2024)

Shifting the Sweet Spot: High-Performance Matrix-Free Method for High-Order Elasticity
par: Chang, Dali, et autres
Publié: (2026)

An Auto-tuning Method for Run-time Data Transformation for Sparse Matrix-Vector Multiplication
par: Katagiri, Takahiro, et autres
Publié: (2024)

CUTHERMO: Understanding GPU Memory Inefficiencies with Heat Map Profiling
par: Zhao, Yanbo, et autres
Publié: (2025)

DIAL: Decentralized I/O AutoTuning via Learned Client-side Local Metrics for Parallel File System
par: Rashid, Md Hasanur, et autres
Publié: (2026)

On the Partitioning of GPU Power among Multi-Instances
par: Vamja, Tirth, et autres
Publié: (2025)

Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs
par: Ng, Nathan, et autres
Publié: (2026)

On the Challenges of Energy-Efficiency Analysis in HPC Systems: Evaluating Synthetic Benchmarks and Gromacs
par: Machado, Rafael Ravedutti Lucio, et autres
Publié: (2025)

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs
par: Wahlgren, Jacob, et autres
Publié: (2025)

An Online Probabilistic Distributed Tracing System
par: Toslali, M., et autres
Publié: (2024)