high performance computing on graphics processing units: hgpu.org

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Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Marc A. Suchard, Chris Holmes, Mike West

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Tags: Bayesian, CUDA, Mathematics, nVidia, Review, Statistics

March 4, 2011 by hgpu

Unified – A Sharp Turn in the Latest Era of Graphic Processors

Asma Kausar, Aziz Khan, Zulfiqar Ali

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Programming techniques, Review

March 3, 2011 by hgpu

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Amr Hassan, Christopher J. Fluke

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Tags: Astrophysics, Instrumentation and Methods for Astrophysics, Review, Visualization

February 28, 2011 by hgpu

Data Mining and Machine Learning in Astronomy

Nicholas M. Ball, Robert J. Brunner

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Data mining, Instrumentation and Methods for Astrophysics, nVidia, Review

February 27, 2011 by hgpu

Concurrent GPU Programming

Lesley Northam

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 M GTX, Programming techniques, Review

February 26, 2011 by hgpu

Probing biomolecular machines with graphics processors

James C. Phillips, John E. Stone

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Tags: Biology, Biomolecules, CUDA, GPU cluster, Molecular simulation, nVidia, OpenCL, Review, Tesla S1070

February 23, 2011 by hgpu

Architecting graphics processors for non-graphics compute acceleration

Tor M. Aamodt

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Tags: Computer science, Hardware Architecture, nVidia, Review

February 20, 2011 by hgpu

Design Space Exploration for GPU-Based Architecture

Zhenyu Ye

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Tags: Computer science, CUDA, Factorization, Hardware Architecture, Memory model, nVidia, nVidia GeForce 8800 GTX, Review, Thesis

February 20, 2011 by hgpu

Programmability: Design Costs and Payoffs using AMD GPU Streaming Languages and Traditional Multi-Core Libraries

Rick Weber, Robert J. Harrison, Gregory D. Peterson

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Tags: ATI CAL, ATI Radeon HD 4870, ATI Stream, Brook, Computer science, Review

February 19, 2011 by hgpu

Graphics Processing Units and Genetic Programming: An overview

W. B. Langdon

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Tags: Bioinformatics, Computer science, CUDA, Genetic programming, nVidia, Review

February 15, 2011 by hgpu

GPU-powered tools boost molecular visualization

Matthieu Chavent, Bruno Levy, Michael Krone, Katrin Bidmon, Jean-Philippe P. Nomine, Thomas Ertl, Marc Baaden

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Tags: Bioinformatics, Biology, Molecular modeling, nVidia, Review, Visualization

February 12, 2011 by hgpu

Energy-efficient algorithms

Susanne Albers

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Tags: Algorithms, Computer science, Energy-efficient computing, Green, Review

February 11, 2011 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

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

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

See all packages

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high performance computing on graphics processing units: hgpu.org

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Unified – A Sharp Turn in the Latest Era of Graphic Processors

Scientific Visualization in Astronomy: Towards the Petascale Astronomy Era

Data Mining and Machine Learning in Astronomy

Concurrent GPU Programming

Probing biomolecular machines with graphics processors

Architecting graphics processors for non-graphics compute acceleration

Design Space Exploration for GPU-Based Architecture

Programmability: Design Costs and Payoffs using AMD GPU Streaming Languages and Traditional Multi-Core Libraries

Graphics Processing Units and Genetic Programming: An overview

GPU-powered tools boost molecular visualization

Energy-efficient algorithms

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

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

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