high performance computing on graphics processing units: hgpu.org

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Fast Retinal Vessel Analysis

Michael Krause, Ralph Maria Alles, Bernhard Burgeth, Joachim Weickert

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Tags: Algorithms, CUDA, Image processing, Mathematics, Medicine, nVidia, nVidia GeForce GTX 680, Radon transform

December 29, 2012 by hgpu

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects

Wencheng Wang, Guofu Xie

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Tags: Computer science, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering

December 18, 2012 by hgpu

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Ralf Kaehler, Tom Abel

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Tags: Algorithms, Astrophysics, Cosmology, Differential equations, GLSL, Instrumentation and Methods for Astrophysics, KD-tree, nVidia, nVidia GeForce GTX 680, OpenGL, Rendering, Visualization

December 18, 2012 by hgpu

Vectorized Higher Order Finite Difference Kernels

Gerhard Zumbusch

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Tags: Algorithms, ATI, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, Finite difference, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20

December 10, 2012 by hgpu

GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling

Chang Cai, Haiqing Chen, Ze Deng, Dan Chen, Samee U. Khan, Ke Zeng, Minxiao Wu

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Tags: CUDA, Earth and Space Sciences, Finite difference, nVidia, nVidia GeForce GTX 680, Seismic modeling, Seismology

December 8, 2012 by hgpu

Hybrid Sample-based Surface Rendering

F. Reichl, M.G. Chajdas, K. Burger, R. Westermann

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Rasterization, Rendering

December 3, 2012 by hgpu

Massively parallel Monte Carlo for many-particle simulations on GPUs

Joshua A. Anderson, Eric Jankowski, Thomas L. Grubb, Michael Engel, Sharon C. Glotzer

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Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Particle simulation, Physics

November 8, 2012 by hgpu

Real-Time Use of GPUs in NA62 Experiment

Gianmaria Collazuol, Vincenzo Innocente, Felice Pantaleo, Marco Sozzi

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Tags: CUDA, Data acquisition, nVidia, nVidia GeForce GTX 680, Pattern recognition, Physics, Tesla C2050

October 14, 2012 by hgpu

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Ion Lungu, Dana-Mihaela Petrosanu, Alexandru Pirjan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Optimization, Performance

October 14, 2012 by hgpu

Lattice QCD based on OpenCL

Matthias Bach, Volker Lindenstruth, Owe Philipsen, Christopher Pinke

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, High Energy Physics - Lattice, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, OpenCL, Physics, QCD

September 27, 2012 by hgpu

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

John D. Davis, Eric S. Chung

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, Sparse matrix

September 22, 2012 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

Fast Retinal Vessel Analysis

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Memory-Efficient Single-Pass GPU Rendering of Multi-fragment Effects

Single-Pass GPU-Raycasting for Structured Adaptive Mesh Refinement Data

Vectorized Higher Order Finite Difference Kernels

GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling

Hybrid Sample-based Surface Rendering

Massively parallel Monte Carlo for many-particle simulations on GPUs

Real-Time Use of GPUs in NA62 Experiment

Optimization Solutions for Improving the Performance of the Parallel Reduction Algorithm Using Graphics Processing Units

Lattice QCD based on OpenCL

SpMV: A Memory-Bound Application on the GPU Stuck Between a Rock and a Hard Place

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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