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Accelerating S3D: A GPGPU Case Study

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter, Jacqueline Chen, Ray Grout and Ramanan Sankaran

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Tags: Chemistry, Computational chemistry, CUDA, nVidia, nVidia GeForce 8800 GTX, Tesla C1060

December 18, 2010 by hgpu

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Wei Xu, Klaus Mueller

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Tags: Computed tomography, CT, GLSL, Image processing, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GT, OpenGL

December 18, 2010 by hgpu

Long time-scale simulations of in vivo diffusion using GPU hardware

Elijah Roberts, John E. Stone, Leonardo Sepulveda, Wen-Mei W. Hwu, Zaida Luthey-Schulten

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Tags: Bioinformatics, Biology, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5600

December 18, 2010 by hgpu

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

Shader Performance Analysis on a Modern GPU Architecture

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

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Tags: 3D Graphics and Realism, ATI, Computer science, OpenGL, Performance, Rendering

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 Template-Based Matching on the GPU for AR Applications

Yannick Allusse, Raphael Grasset, Mark Billinghurst

Tags: Computer science, Computer vision

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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Source codes

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

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Accelerating S3D: A GPGPU Case Study

Accelerating Regularized Iterative CT Reconstruction on Commodity Graphics Hardware (GPU)

Long time-scale simulations of in vivo diffusion using GPU hardware

Large-scale FFT on GPU clusters

Shader Performance Analysis on a Modern GPU Architecture

GPU clusters for high-performance computing

Accelerating Template-Based Matching on the GPU for AR Applications

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

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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