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Sparse matrix solvers on the GPU: conjugate gradients and multigrid

Jeff Bolz,Ian Farmer,Eitan Grinspun,Peter Schrooder

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Tags: Computer science, Fluid simulation, Navier-Stokes equations, NSEs, Numerical simulation, nVidia, Sparse matrix

November 5, 2010 by hgpu

NVIDIA Tesla: A Unified Graphics and Computing Architecture

Erik Lindholm, J. Nickolls, S. Oberman, J. Montrym

Tags: Computer science, Hardware, nVidia, Review, Tesla

November 5, 2010 by hgpu

Accelerator: using data parallelism to program GPUs for general-purpose uses

David Tarditi, Sidd Puri, Jose Oglesby

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Tags: ATI, ATI Radeon X1800, ATI Radeon X850 XT, Computer science, High-level Languages, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX

November 5, 2010 by hgpu

A translation system for enabling data mining applications on GPUs

Wenjing Ma, Gagan Agrawal

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GX2

November 5, 2010 by hgpu

A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU

Tomohiro Okuyama, Fumihiko Ino, Kenichi Hagihara

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Tags: Algorithms, All-Pairs Distance, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Path problems

November 5, 2010 by hgpu

Lattice SU(2) on GPU’s

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Physics

November 5, 2010 by hgpu

ECM on Graphics Cards

Daniel Bernstein, Tien-Ren Chen, Chen-Mou Cheng, Tanja Lange, Bo-Yin Yang

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Tags: Computer science, CUDA, Edwards curves, Elliptic curves, Elliptic-curve method of factorization, Factorization, Modular arithmetic, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 260, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Security

November 5, 2010 by hgpu

Realistic real-time sound re-synthesis and processing for interactive virtual worlds

Fernando Trebien, Manuel Oliveira

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Tags: CUDA, nVidia, nVidia GeForce 9800 GTX, Signal processing

November 5, 2010 by hgpu

Solving Path Problems on the GPU

Aydin Buluc, John R. Gilbert, Ceren Budak

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce 8800 Ultra, Package, Path problems

November 5, 2010 by hgpu

Parallel search on video cards

Tim Kaldewey, Jeff Hagen, Andrea Di Blas, Eric Sedlar

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Search

November 5, 2010 by hgpu

A Performance Comparison of CUDA and OpenCL

Kamran Karimi, Neil G. Dickson, Firas Hamze

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Tags: Computational Physics, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Performance

November 5, 2010 by hgpu

Faster matrix-vector multiplication on GeForce 8800GTX

N. Fujimoto

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

November 5, 2010 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Sparse matrix solvers on the GPU: conjugate gradients and multigrid

NVIDIA Tesla: A Unified Graphics and Computing Architecture

Accelerator: using data parallelism to program GPUs for general-purpose uses

A translation system for enabling data mining applications on GPUs

A Task Parallel Algorithm for Computing the Costs of All-Pairs Shortest Paths on the CUDA-Compatible GPU

Lattice SU(2) on GPU’s

ECM on Graphics Cards

Realistic real-time sound re-synthesis and processing for interactive virtual worlds

Solving Path Problems on the GPU

Parallel search on video cards

A Performance Comparison of CUDA and OpenCL

Faster matrix-vector multiplication on GeForce 8800GTX

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

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

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