high performance computing on graphics processing units: hgpu.org

Steven G. Parker, James Bigler, Andreas Dietrich, Heiko Friedrich, Jared Hoberock, David Luebke, David McAllister, Morgan McGuire, Keith Morley, Austin Robison, Martin Stich

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 485, nVidia Quadro FX 5800, PTX, Raytracing, Software Engineering

September 14, 2011 by hgpu

Nikola: embedding compiled GPU functions in Haskell

Geoffrey Mainland, Greg Morrisett

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Source codes

Tags: Code generation, Computer science, CUDA, nVidia, Package, Programming Languages, Tesla T10

September 14, 2011 by hgpu

A practical approach of curved ray prestack Kirchhoff Time Migration on GPGPU

Xiaohua Shi, Chuang Li, Xu Wang, Kang Li

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Tags: Algorithms, CUDA, Earth and Space Sciences, Floating point error, Geoscience, nVidia, nVidia GeForce 8800 GT, Optimization, Tesla C870

September 14, 2011 by hgpu

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

Andrei Zaharescu, Richard Wildes

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, OpenCL

September 14, 2011 by hgpu

The case for VOS: the vector operating system

Vijay Vasudevan, David G. Andersen, Michael Kaminsky

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Tags: Computer science, Operating systems

September 14, 2011 by hgpu

Seeing through the fog: an algorithm for fast and accurate touch detection in optical tabletop surfaces

Christopher Wolfe, T. C. Nicholas Graham, Joseph A. Pape

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 9600 GT, OpenGL, Sensing

September 14, 2011 by hgpu

Subpixel reconstruction antialiasing for deferred shading

Matthaus G. Chajdas, Morgan McGuire, David Luebke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 480

September 14, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A platform-independent tool for modeling parallel programs

Ambient occlusion volumes

Visual simulation of shockwaves

Auto-tuning of fast fourier transform on graphics processors

Shadowfax: scaling in heterogeneous cluster systems via GPGPU assemblies

OptiX: a general purpose ray tracing engine

Nikola: embedding compiled GPU functions in Haskell

A practical approach of curved ray prestack Kirchhoff Time Migration on GPGPU

Anomalous behaviour detection using spatiotemporal oriented energies, subset inclusion histogram comparison and event-driven processing

The case for VOS: the vector operating system

Seeing through the fog: an algorithm for fast and accurate touch detection in optical tabletop surfaces

Subpixel reconstruction antialiasing for deferred shading

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

Most viewed papers (last 30 days)