high performance computing on graphics processing units: hgpu.org

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Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

Lubomir D. Antonov, Christian Andreetta, Thomas Hamelryck

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Tags: Algorithms, Biology, Medicine, nVidia, nVidia GeForce GTX 560 Ti, OpenCL, Package

January 30, 2013 by hgpu

Efficient Implementation of MrBayes on multi-GPU

Jie Bao, Hongju Xia, Jianfu Zhou, Xiaoguang Liu, Gang Wang

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Tags: Bayesian, Biology, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, Package, Task scheduling

January 28, 2013 by hgpu

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Thierry Gautier, Joao V. F. Lima, Nicolas Maillard, Bruno Raffin

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Tags: Computer science, CUDA, Factorization, Heterogeneous systems, Linear Algebra, nVidia, Package, Tesla C2050

January 25, 2013 by hgpu

Implementing Open-Source CUDA Runtime

Shinpei Kato

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Tags: Computer science, CUDA, nVidia, Operating systems, Package

January 23, 2013 by hgpu

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Billy L. Edge, Margery F. Overton, Robert A. Dalrymple, Alexis Herault, Giuseppe Bilotta, M. Onur Kurum, Kevin Gamiel

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Tags: CUDA, Earth and Space Sciences, Fluid dynamics, nVidia, Package

January 17, 2013 by hgpu

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels

Peter Collingbourne, Alastair F. Donaldson, Jeroen Ketema, Shaz Qadeer

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Package

January 15, 2013 by hgpu

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Jacek Kustra, Andrei Jalba, Alexandru Telea

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 330 M, OpenGL, Package, Stereo vision

January 11, 2013 by hgpu

Long Timestep Molecular Dynamics on the Graphical Processing Unit

James C. Sweet, Ronald J. Nowling, Trevor Cickovski, Christopher R. Sweet, Vijay S. Pande, Jesus A. Izaguirre

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Tags: Biology, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 580, OpenCL, Package

January 4, 2013 by hgpu

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

Denis Demidov, Karsten Ahnert, Karl Rupp, Peter Gottschling

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Tags: ATI, ATI Radeon HD 7970, Computational Physics, Computer science, CUDA, Differential equations, Mathematical Software, nVidia, ODEs, OpenCL, Ordinary differential equations, Package, Tesla C2070

January 2, 2013 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

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Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Peter Richtarik, Martin Takac, Selin Damla Ahipasaoglu

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Tags: CUBLAS, CUDA, Machine learning, nVidia, Package, Statistics

December 18, 2012 by hgpu

Circular Hough Transform in OpenCL

Seunghoon Park

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 555 M, OpenCL, Package

December 16, 2012 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

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high performance computing on graphics processing units: hgpu.org

Packages

Parallel GPGPU Evaluation of Small Angle X-ray Scattering Profiles in a Markov Chain Monte Carlo Framework

Efficient Implementation of MrBayes on multi-GPU

Locality-Aware Work Stealing on Multi-CPU and Multi-GPU Architectures

Implementing Open-Source CUDA Runtime

Application of GPU Smooth Particle Hydrodynamics: Wave Runup and Overtopping on Composite Slopes

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Long Timestep Molecular Dynamics on the Graphical Processing Unit

Programming CUDA and OpenCL: A Case Study Using Modern C++ Libraries

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Alternating Maximization: Unifying Framework for 8 Sparse PCA Formulations and Efficient Parallel Codes

Circular Hough Transform in OpenCL

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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