Matrix multiplication | Page 19

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From CUDA to OpenCL: Towards a Performance-portable Solution for Multi-platform GPU Programming

Peng Du, Rick Weber, Piotr Luszczek, Stanimire Tomov, Gregory Peterson, Jack Dongarra

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, OpenCL, Optimization, Performance, Tesla C2050

September 26, 2011 by hgpu

Analyzing Use of OpenCL on the Cell Broadband Engine and a Proposal for OpenCL Extensions

Jens Breitbart, Claudia Fohry

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Tags: Cell processor, Computer science, Distributed computing, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Playstation

September 24, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

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Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

A fast GEMM implementation on the cypress GPU

Naohito Nakasato

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, Computer science, Linear Algebra, Matrix multiplication, Performance

August 22, 2011 by hgpu

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Chong Ding, Christer Karlsson, Hui Liu, Teresa Davies, Zizhong Chen

Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

August 9, 2011 by hgpu

Small Discrete Fourier Transforms on GPUs

S. Mitra, A. Srinivasan

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Tags: Algorithms, Computer science, CUDA, FFT, Matrix multiplication, nVidia, nVidia GeForce 9800 GTX, Optimization

July 23, 2011 by hgpu

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski

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Tags: Computational chemistry, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Presentation, Tesla C1070, Tesla S1070

July 7, 2011 by hgpu

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

Xiang Cui, Yifeng Chen, Changyou Zhang, Hong Mei

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2050

June 19, 2011 by hgpu

CUDA Based Fast Implementation of Very Large Matrix Computation

Yinghong Sun, Yuanman Tong

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia

June 10, 2011 by hgpu

The Graphics Processor as a Mathematical Coprocessor in MATLAB

Andre Rigland Brodtkorb

Tags: Computer science, Linear Algebra, Matrix multiplication

June 9, 2011 by hgpu

A Study on Parallel Imaging Algorithm of 3D Geological Data

Sun Ya-Hao, Li Zhao-Hui

Tags: Earth and Space Sciences, Image processing, Matrix multiplication, Visualization

June 5, 2011 by hgpu

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

From CUDA to OpenCL: Towards a Performance-portable Solution for Multi-platform GPU Programming

Analyzing Use of OpenCL on the Cell Broadband Engine and a Proposal for OpenCL Extensions

Collaborative execution environment for heterogeneous parallel systems

A fast GEMM implementation on the cypress GPU

Matrix Multiplication on GPUs with On-Line Fault Tolerance

Small Discrete Fourier Transforms on GPUs

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Auto-tuning Dense Matrix Multiplication for GPGPU with Cache

CUDA Based Fast Implementation of Very Large Matrix Computation

The Graphics Processor as a Mathematical Coprocessor in MATLAB

A Study on Parallel Imaging Algorithm of 3D Geological Data

Recent source codes

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

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