high performance computing on graphics processing units: hgpu.org

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Fast computation of generalized Voronoi diagrams using graphics hardware

Kenneth Hoff, John Keyser, Ming Lin, Dinesh Manocha, Tim Culver

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Tags: Computer science, Image generation, OpenGL, Package, Rasterization, Voronoi diagram

December 1, 2010 by hgpu

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Panagiotis D. Vouzis, Nikolaos V. Sahinidis

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, Package, Sequence alignment, Tesla C2050

November 30, 2010 by hgpu

Shader algebra

Michael Mccool, Stefanus Du Toit, Tiberiu Popa, Bryan Chan, Kevin Moule

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Tags: 3D Graphics and Realism, Computer science, nVidia, OpenGL, Package, Rendering, Shaders

November 29, 2010 by hgpu

A flexible simulation framework for graphics architectures

J. W. Sheaffer, D. Luebke, K. Skadron

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Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 4, OpenGL, Package

November 29, 2010 by hgpu

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Cedric Augonnet, Samuel Thibault, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, Package, Performance

November 28, 2010 by hgpu

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Rene Hussong, Barbara Gregorius, Andreas Tholey, Andreas Hildebrandt

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C870

November 28, 2010 by hgpu

Fast Disk Encryption through GPGPU Acceleration

Giovanni Agosta, Alessandro Barenghi, Fabrizio D. Santis, Andrea D. Biagio, Gerardo Pelosi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Package, Security

November 26, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Haixiang Shi, Bertil Schmidt, Weiguo Liu, Wolfgang Muller-Wittig

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Tags: Biology, Computer science, CUDA, Error recovery, nVidia, Package

November 22, 2010 by hgpu

Parallel Position Weight Matrices Algorithms

Mathieu Giraud, Jean-Stephane Varre

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Tags: Biology, Computer science, CUDA, nVidia, nVidia GeForce 8800, nVidia GeForce GTX 280, Package

November 22, 2010 by hgpu

GPGPU computation and visualization of three-dimensional cellular automata

Stephane Gobron, Arzu Coltekin, Herve Bonafos and Daniel Thalmann

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Tags: Cellular automata, Computer science, Medicine, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Visualization

November 20, 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

Packages

Fast computation of generalized Voronoi diagrams using graphics hardware

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Shader algebra

A flexible simulation framework for graphics architectures

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Highly accelerated feature detection in proteomics data sets using modern graphics processing units

Fast Disk Encryption through GPGPU Acceleration

Synergistic execution of stream programs on multicores with accelerators

A Parallel Algorithm for Error Correction in High-Throughput Short-Read Data on CUDA-Enabled Graphics Hardware

Parallel Position Weight Matrices Algorithms

GPGPU computation and visualization of three-dimensional cellular automata

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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