high performance computing on graphics processing units: hgpu.org

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Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh

Shi Chen, Huai Zhang, David Yuen, Shuxia Zhang, Jian Zhang, Yaolin Shi

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Tags: Earth and Space Sciences, Geoscience, nVidia, nVidia GeForce 7800 GTX, OpenGL, Package, Visualization

December 12, 2010 by hgpu

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

December 12, 2010 by hgpu

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

Erik Alerstam, Tomas Svensson, Stefan A. Engels

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Tags: CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GT, Optics, Package, Physics

December 10, 2010 by hgpu

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Chen Chen, Bertil Schmidt, Liu Weiguo, Wolfgang Muller-Wittig

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Tags: Bioinformatics, Biology, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Pattern recognition

December 6, 2010 by hgpu

Real-Time Visibility-Based Fusion of Depth Maps

P. Merrell, A. Akbarzadeh, Liang Wang, P. Mordohai, J. M. Frahm, Ruigang Yang, D. Nister, M. Pollefeys

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Tags: Cg, Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, OpenGL, Package, Video tracking

December 6, 2010 by hgpu

An adaptive framework for visualizing unstructured grids with time-varying scalar fields

F. Bernardon, S. Callahan, J. Comba, C. Silva

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Tags: Computer science, nVidia, nVidia GeForce 7800 GTX, Package, Rendering, Visualization

December 5, 2010 by hgpu

GPUQP: query co-processing using graphics processors

Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. Govindaraju, Qiong Luo, Pedro V. Sander

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, Package, Review

December 4, 2010 by hgpu

GPU Floating-Point Paranoia

Karl E. Hillesland, Anselmo Lastra

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Tags: Algorithms, Cg, Computer science, Extended precision, nVidia, Package

December 3, 2010 by hgpu

Fast computation of generalized Voronoi diagrams using graphics hardware

Kenneth Hoff, John Keyser, Ming Lin, Dinesh Manocha, Tim Culver

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Tags: Computer science, Image generation, OpenGL, Package, Rasterization, Voronoi diagram

December 1, 2010 by hgpu

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Panagiotis D. Vouzis, Nikolaos V. Sahinidis

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Tags: Bioinformatics, Biology, BLAST, CUDA, nVidia, Package, Sequence alignment, Tesla C2050

November 30, 2010 by hgpu

Shader algebra

Michael Mccool, Stefanus Du Toit, Tiberiu Popa, Bryan Chan, Kevin Moule

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Tags: 3D Graphics and Realism, Computer science, nVidia, OpenGL, Package, Rendering, Shaders

November 29, 2010 by hgpu

A flexible simulation framework for graphics architectures

J. W. Sheaffer, D. Luebke, K. Skadron

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Tags: Computer science, Energy-efficient computing, nVidia, nVidia GeForce 4, OpenGL, Package

November 29, 2010 by hgpu

CuPBoP-AMD: Extending CUDA to AMD Platforms

CuPBoP: Making CUDA a Portable Language

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

Automated Deep Learning Optimization via DSL-Based Source Code Transformation

ROCm's implementation of Gromacs

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

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

Experiences with implementing Kokkos’ SYCL backend

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

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high performance computing on graphics processing units: hgpu.org

Volume rendering visualization of 3D spherical mantle convection with an unstructured mesh

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration

GPU-MEME: Using Graphics Hardware to Accelerate Motif Finding in DNA Sequences

Real-Time Visibility-Based Fusion of Depth Maps

An adaptive framework for visualizing unstructured grids with time-varying scalar fields

GPUQP: query co-processing using graphics processors

GPU Floating-Point Paranoia

Fast computation of generalized Voronoi diagrams using graphics hardware

GPU-BLAST: Using graphics processors to accelerate protein sequence alignment

Shader algebra

A flexible simulation framework for graphics architectures

Recent source codes

CuPBoP-AMD: Extending CUDA to AMD Platforms

Adopter: Automated Deep Learning Optimization via DSL-based Source Code Transformation

ROCm's implementation of Gromacs

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

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

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