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Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU

Qi Li, V. Kecman, R. Salman

Tags: Computer science, Data Structures and Algorithms, GPU cluster

March 28, 2011 by hgpu

GMH: A Message Passing Toolkit for GPU Clusters

Jie Chen, William Watson III, Weizhen Mao

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Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 285, Package

March 28, 2011 by hgpu

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

S. Yamagiwa, L. Sousa

Source codes

Tags: Computer science, GPU cluster, MPI, Package

March 27, 2011 by hgpu

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Hsi-Yu Schive, Ui-Han Zhang, Tzihong Chiueh

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Tags: Astrophysics, CUDA, GPU cluster, Instrumentation and Methods for Astrophysics, MPI, nVidia, OpenMP, Tesla C2050

March 18, 2011 by hgpu

Implementing the Himeno benchmark with CUDA on GPU clusters

Everett H. Phillips, Massimiliano Fatica

Tags: Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Performance, Tesla C1060

March 16, 2011 by hgpu

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Amnon Barak, Tal Ben-nun, Ely Levy, Amnon Shiloh

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Tags: Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, OpenMP

March 15, 2011 by hgpu

Improving the Efficiency of GPU Clusters

Bill Mcmillan

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Tags: Computer science, GPU cluster, Review

March 12, 2011 by hgpu

General-purpose molecular dynamics simulations on GPU-based clusters

Christian R. Trott, Lars Winterfeld, Paul S. Crozier

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Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

March 8, 2011 by hgpu

Statistical constraints on binary black hole inspiral dynamics

Chad R. Galley, Frank Herrmann, John Silberholz, Manuel Tiglio, Gustavo Guerberoff

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Tags: CUDA, General Relativity and Quantum Cosmology, GPU cluster, nVidia, Physics

March 6, 2011 by hgpu

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Xiaoyu Xu, Guoqiang Liu, Hui Qu, Wei Xu, Yang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Sparse matrix

March 6, 2011 by hgpu

Speculative Execution on Multi-GPU Systems

Gregory Diamos, Sudhakar Yalamanchili

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 9800 GX2, Optimization, Performance, Tesla S870

March 6, 2011 by hgpu

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

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high performance computing on graphics processing units: hgpu.org

Evaluation Framework for GPU Performance Based on OpenCL Standard

A Chunking Method for Euclidean Distance Matrix Calculation on Large Dataset Using Multi-GPU

GMH: A Message Passing Toolkit for GPU Clusters

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

Directionally Unsplit Hydrodynamic Schemes with Hybrid MPI/OpenMP/GPU Parallelization in AMR

Implementing the Himeno benchmark with CUDA on GPU clusters

A Package for OpenCL Based Heterogeneous Computing on Clusters with Many GPU Devices

Improving the Efficiency of GPU Clusters

General-purpose molecular dynamics simulations on GPU-based clusters

Statistical constraints on binary black hole inspiral dynamics

Study on GPU-accelerated extraction of interconnects parasitic using CUDA and MPI

Speculative Execution on Multi-GPU Systems

Recent source codes

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

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