high performance computing on graphics processing units: hgpu.org

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Numerical computations in Java with CUDA

Bogdan Oancea, Tudorel Andrei, Andreea Iluzia Iacob

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Tags: Computer science, CUBLAS, CUDA, Java, Linear Algebra, nVidia, nVidia GeForce 9500 GT

January 7, 2013 by hgpu

Approximate Subdivision Surface Evaluation in the Language of Linear Algebra

Michael Driscoll

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Tags: 3D Graphics and Realism, Computer science, CUDA, Image generation, Linear Algebra, nVidia, nVidia GeForce GTX 480, Sparse matrix

January 5, 2013 by hgpu

Task-based Conjugate-Gradient for multi-GPUs platforms

Emmanuel Agullo, Luc Giraud, Abdou Guermouche, Stojce Nakov, Jean Roman

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C2070

December 25, 2012 by hgpu

Sparse Matrix Multiplication using CUDA and Mex Interface

Abhishek Deshpande

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Sparse matrix

December 20, 2012 by hgpu

Implementing QR Factorization Updating Algorithms on GPUs

Robert Andrew, Nicholas Dingle

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Tags: Algorithms, Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, Numerical Analysis, nVidia, Tesla M2050

December 10, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Improving the Performance of the Linear Systems Solvers Using CUDA

Bogdan Oancea, Tudorel Andrei, Raluca Mariana Dragoescu

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

November 24, 2012 by hgpu

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Li-Wen Chang, John A. Stratton, Hee-Seok Kim, Wen-Mei W. Hwu

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Source codes

Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 480, Package, Tesla M2070

November 20, 2012 by hgpu

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Simen Andreas Andreassen Lonsethagen

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Tags: CUDA, Finite difference, Linear Algebra, Mathematics, nVidia, nVidia GeForce GTX 570, Thesis

November 20, 2012 by hgpu

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Mehdi Goli, Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla M2090

October 22, 2012 by hgpu

Computing Reachable Sets via Barrier Methods on SIMD Architectures

Lars Grune, Thomas U. Jahn

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Tags: Algorithms, CUDA, Linear Algebra, Mathematics, nVidia, ODEs, Ordinary differential equations

October 18, 2012 by hgpu

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Joao V. F. Lima, Thierry Gautier, Nicolas Maillard, Vincent Danjean

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla C2050

September 28, 2012 by hgpu

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

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

See all packages

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high performance computing on graphics processing units: hgpu.org

Numerical computations in Java with CUDA

Approximate Subdivision Surface Evaluation in the Language of Linear Algebra

Task-based Conjugate-Gradient for multi-GPUs platforms

Sparse Matrix Multiplication using CUDA and Mex Interface

Implementing QR Factorization Updating Algorithms on GPUs

GPU accelerating the FEniCS Project

Improving the Performance of the Linear Systems Solvers Using CUDA

A scalable, numerically stable, high-performance tridiagonal solver using GPUs

Krylov Subspace Accelerated Algebraic Multigrid for Mimetic Finite Differences on GPUs

Streaming Dynamic Coarse-Grained CPU/GPU Workloads with Heterogeneous Pipelines in FastFlow

Computing Reachable Sets via Barrier Methods on SIMD Architectures

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

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

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