high performance computing on graphics processing units: hgpu.org

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Large-scale FFT on GPU clusters

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Programming techniques, Tesla C1060

December 18, 2010 by hgpu

GPU clusters for high-performance computing

Volodymyr V. Kindratenko, Jeremy J. Enos, Guochun Shi, Michael T. Showerman, Galen W. Arnold, John E. Stone, James C. Phillips, Wen-mei Hwu

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla S1070

December 18, 2010 by hgpu

Accelerating SQL Database Operations on a GPU with CUDA

Peter Bakkum, Kevin Skadron

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C1060

December 18, 2010 by hgpu

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

Morgan McGuire

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Tags: GLSL, Image processing, nVidia, nVidia GeForce 8600 M GT, OpenGL, Package

December 18, 2010 by hgpu

GPU-based Island Model for Evolutionary Algorithms

The Van Luong, Nouredine Melab, El-Ghazali Talb

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Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 280, Optimization

December 18, 2010 by hgpu

Accelerating K-Means on the Graphics Processor via CUDA

Mario Zechner, Michael Granitzer

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9600 GT

December 18, 2010 by hgpu

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

Aditi Rathi, Michael DeBole, Weina Ge, Robert T. Collins, N. Vijaykrishnan

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 18, 2010 by hgpu

A Single (Unified) Shader GPU Microarchitecture for Embedded Systems

Victor Moya, Carlos Gonzalez, Jordi Roca, Agustin Fernandez and Roger Espasa

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Tags: Architecture, Computer science, Games, nVidia, nVidia GeForce 3, OpenGL

December 18, 2010 by hgpu

A Cross-Input Adaptive Framework for GPU Programs Optimization

Yixun Liu, Eddy Z. Zhang, Xipeng Shen

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

December 18, 2010 by hgpu

Fast Software AES Encryption

Dag Osvik, Joppe Bos, Deian Stefan, David Canright

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 295, Security

December 17, 2010 by hgpu

A New Parallel Method of Smith-Waterman Algorithm on a Heterogeneous Platform

Bo Chen, Yun Xu, Jiaoyun Yang, Haitao Jiang

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Tags: Biology, CUDA, nVidia, nVidia GeForce 9800 GT, Sequence alignment, Smith-Waterman algorithm

December 17, 2010 by hgpu

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

Qianqian Fang, David A. Boas

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

December 17, 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

Large-scale FFT on GPU clusters

GPU clusters for high-performance computing

Accelerating SQL Database Operations on a GPU with CUDA

Efficient, High-Quality Bayer Demosaic Filtering on GPUs

GPU-based Island Model for Evolutionary Algorithms

Accelerating K-Means on the Graphics Processor via CUDA

A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching

A Single (Unified) Shader GPU Microarchitecture for Embedded Systems

A Cross-Input Adaptive Framework for GPU Programs Optimization

Fast Software AES Encryption

A New Parallel Method of Smith-Waterman Algorithm on a Heterogeneous Platform

Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units

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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