high performance computing on graphics processing units: hgpu.org

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Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units

Jose Juan Tapia, Roshan D'Souza

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Tags: Biophysics, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 280, OpenGL, Physics, Programming techniques

April 9, 2011 by hgpu

Practical examples of GPU computing optimization principles

Goorts, Patrik; Rogmans, Sammy; Vanden Eynde, Steven; Bekaert, Philippe;

Tags: Computer science, CUDA, DirectCompute, nVidia, OpenCL, Programming techniques

April 7, 2011 by hgpu

Parallel computing with CUDA

M. Garland

Tags: Computer science, CUDA, nVidia, Programming techniques

April 2, 2011 by hgpu

Image parallel processing based on GPU

Nan Zhang, Yun-shan Chen, Jian-li Wang

Tags: Algorithms, Filtering, Image processing, Programming techniques

March 27, 2011 by hgpu

HCW 2009 keynote talk: GPU computing: Heterogeneous computing for future systems

J. Owens

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Tags: Computer science, Heterogeneous systems, Programming techniques

March 27, 2011 by hgpu

General-purpose GPU computing: practice and experience

Bartlett S. H. (Scott) Michel

Tags: Computer science, Programming techniques, Review

March 24, 2011 by hgpu

Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Efficient stream reduction on the GPU

David Roger, Ulf Assarsson, Nicolas Holzschuch

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Programming techniques

March 23, 2011 by hgpu

Implementing a GPU Programming Model on a non-GPU Accelerator Architecture

Stephen M. Kofsky, Daniel R. Johnson, John A. Stratton, Wen-Mei W. Hwu, Sanjay J. Patel, Steven S. Lumetta

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Tags: Computer science, CUDA, nVidia, Optimization, Programming techniques, Tesla T10

March 19, 2011 by hgpu

Implementation of algorithms with a fine-grained parallelism on GPUs

K. Kalgin

Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, Programming techniques

March 17, 2011 by hgpu

GPU-Based Techniques For Global Illumination Effects

L Szirmay-Kalos, Laszlo Szecsi, Mateu Sbert

Tags: 3D Graphics and Realism, Book, Computer science, DirectX, OpenGL, Programming techniques

March 16, 2011 by hgpu

To GPU Synchronize or Not GPU Synchronize?

Wu-Chun Feng, Shucai Xiao

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Programming techniques, Synchronization

March 12, 2011 by hgpu

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Data-parallel algorithms for large-scale real-time simulation of the cellular potts model on graphics processing units

Practical examples of GPU computing optimization principles

Parallel computing with CUDA

Image parallel processing based on GPU

HCW 2009 keynote talk: GPU computing: Heterogeneous computing for future systems

General-purpose GPU computing: practice and experience

Aspects of GPU for general purpose high performance computing

Efficient stream reduction on the GPU

Implementing a GPU Programming Model on a non-GPU Accelerator Architecture

Implementation of algorithms with a fine-grained parallelism on GPUs

GPU-Based Techniques For Global Illumination Effects

To GPU Synchronize or Not GPU Synchronize?

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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