high performance computing on graphics processing units: hgpu.org

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A control-structure splitting optimization for GPGPU

Snaider Carrillo, Jakob Siegel, Xiaoming Li

Tags: Algorithm optimization, Computer science, CUDA, nVidia, Programming techniques

November 1, 2010 by hgpu

GPU-assisted decoding of video samples represented in the YCoCg-R color space

Wesley De Neve, Dieter Van Rijsselbergen, Charles Hollemeersch, Jan De Cock, Stijn Notebaert, Rik Van de Walle

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Tags: FRExt, H.264/AVC, Image processing, nVidia GeForce 6800, nVidia GeForce FX 5900, Pixel shaders, YCoCg, YCoCg-R

November 1, 2010 by hgpu

GPGPU: general purpose computation on graphics hardware

David Luebke, Mark Harris, Jens Krüger, Tim Purcell, Naga Govindaraju, Ian Buck, Cliff Woolley, Aaron Lefohn

Tags: Computer science, Review

November 1, 2010 by hgpu

A GPU accelerated storage system

Abdullah Gharaibeh, Samer A. Kiswany, Sathish Gopalakrishnan, Matei Ripeanu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, Performance, Storage system

November 1, 2010 by hgpu

OpenVIDIA: parallel GPU computer vision

James Fung, Steve Mann

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Tags: Chirplet transform, Computer vision, Image processing, Mediated reality, nVidia, nVidia GeForce FX 5200, OpenGL, Package

November 1, 2010 by hgpu

Real-time particle systems on the GPU in dynamic environments

Shannon Drone

Tags: Computer science, Particle simulation, Real-time graphics

November 1, 2010 by hgpu

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

Weiguo Liu, Bertil Schmidt, Gerrit Voss, Wolfgang Müller-Wittig

Tags: Bioinformatics, Biology, Computational biology, Computer science, Sequence alignment

November 1, 2010 by hgpu

GPU Simulation and Rendering of Volumetric Effects for Computer Games and Virtual Environments

Jens Kruger, Rudiger Westermann

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X800 XT, Computer science, Numerical simulation, nVidia, nVidia GeForce 6800 GT, OpenGL, Raytracing, Rendering

November 1, 2010 by hgpu

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

G. Stantchev, W. Dorland, N. Gumerov

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Tags: Computer science, CUDA, Numerical simulation, nVidia, Particle-in-cell methods, Plasma physics

November 1, 2010 by hgpu

GPU Accelerated Smith-Waterman

Yang Liu, Wayne Huang, John Johnson, Sheila Vaidya

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Tags: Bioinformatics, Biology, Computational biology, Computer science, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Smith-Waterman algorithm

November 1, 2010 by hgpu

CUDA-Lite: Reducing GPU programming complexity

Sain-zee Ueng, Melvin Lathara, Sara S. Baghsorkhi, Wen-mei W. Hwu

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

November 1, 2010 by hgpu

Program optimization space pruning for a multithreaded gpu

Shane Ryoo, Christopher I. Rodrigues, Sam S. Stone, Sara S. Baghsorkhi, Sain Z. Ueng, John A. Stratton, Wen mei

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

November 1, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A control-structure splitting optimization for GPGPU

GPU-assisted decoding of video samples represented in the YCoCg-R color space

GPGPU: general purpose computation on graphics hardware

A GPU accelerated storage system

OpenVIDIA: parallel GPU computer vision

Real-time particle systems on the GPU in dynamic environments

GPU-ClustalW: Using Graphics Hardware to Accelerate Multiple Sequence Alignment

GPU Simulation and Rendering of Volumetric Effects for Computer Games and Virtual Environments

Fast parallel Particle-To-Grid interpolation for plasma PIC simulations on the GPU

GPU Accelerated Smith-Waterman

CUDA-Lite: Reducing GPU programming complexity

Program optimization space pruning for a multithreaded gpu

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

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