high performance computing on graphics processing units: hgpu.org

hgpu.org » Linear Algebra

Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing

Canqun Yang, Feng Wang, Yunfei Du, Juan Chen, Jie Liu, Huizhan Yi, Kai Lu

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Tags: ATI, ATI Radeon HD 4870, ATI Stream, Computer science, Heterogeneous systems, Linear Algebra, Optimization, Presentation

June 9, 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

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Hatem Ltaief, Samuel Thibault, Stanimire Tomov

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Tags: Computer science, CUDA, Factorization, GPU cluster, Linear Algebra, nVidia, nVidia Quadro FX 5800, Tesla S1070

June 5, 2011 by hgpu

Accelerating GPU kernels for dense linear algebra

Rajib Nath, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280

June 4, 2011 by hgpu

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators

Hatem Ltaief, Stanimire Tomov, Rajib Nath, Peng Du and Jack Dongarra

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Tags: Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S1070

June 4, 2011 by hgpu

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures

Peng Du, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Performance

June 3, 2011 by hgpu

A GPU-enabled solver for time-constrained linear sum assignment problems

R. Roverso, A. Naiem, M. El-Beltagy, S. El-Ansary, S. Haridi

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Optimization

May 25, 2011 by hgpu

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Ahmed H. El Zein, Alistair P. Rendell

Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix

May 20, 2011 by hgpu

GPU-PRISM: An Extension of PRISM for General Purpose Graphics Processing Units

Dragan Bosnacki, Stefan Edelkamp, Damian Sulewski, Anton Wijs

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 285, Probabilistic model checking

May 19, 2011 by hgpu

Iterative SLE Solvers over a CPU-GPU Platform

Alecio P.D. Binotto, Christian Daniel, Daniel Weber, Arjan Kuijper, Andre Stork, Carlos Pereira, Dieter Fellner

Tags: Algorithms, Fluid dynamics, Heterogeneous systems, Linear Algebra

May 14, 2011 by hgpu

Sparse Matrix Formats Evaluation and Optimization on a GPU

Maxime R. Hugues, Serge G. Petiton

Tags: Computer science, Linear Algebra, Sparse matrix

May 1, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

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

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high performance computing on graphics processing units: hgpu.org

Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing

The Graphics Processor as a Mathematical Coprocessor in MATLAB

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

Accelerating GPU kernels for dense linear algebra

A Scalable High Performant Cholesky Factorization for Multicore with GPU Accelerators

Mixed-Tool Performance Analysis on Hybrid Multicore Architectures

A GPU-enabled solver for time-constrained linear sum assignment problems

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

GPU-PRISM: An Extension of PRISM for General Purpose Graphics Processing Units

Iterative SLE Solvers over a CPU-GPU Platform

Sparse Matrix Formats Evaluation and Optimization on a GPU

Optimized HPL for AMD GPU and multi-core CPU usage

Recent source codes

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

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