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Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Aditya Deshpande

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Tags: Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Sorting, Sparse matrix, Tesla K20, Thesis

July 11, 2014 by hgpu

Fast Burrows Wheeler Compression Using CPU and GPU

Aditya Deshpande, P J Narayanan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Thrust

April 14, 2014 by hgpu

A Performance Criteria for parallel Computation on basis of block size using CUDA Architecture

Ashis Kumar Dash

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, Matrix multiplication, nVidia, nVidia Quadro FX 3700

January 29, 2014 by hgpu

Implementation of Stereo Matching Using High Level Compiler for Parallel Computing Acceleration

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 550 Ti, nVidia Quadro FX 3700, OpenCL

December 18, 2012 by hgpu

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

Kristian Bredies, Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700

October 26, 2012 by hgpu

New Techniques for Spectral Image Acquisition and Analysis

Jukka Antikainen

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Thesis

July 14, 2012 by hgpu

Artifact-Free JPEG Decompression with Total Generalized Variation

Kristian Bredies, Martin Holler

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700

January 6, 2012 by hgpu

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Jim Braux-Zin

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Tags: Algorithms, Augmented reality, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Optimization, Stereo vision

January 4, 2012 by hgpu

Methodology of control and supervision of web connected mobile robots with CUDA technology application

Janusz Bedkowski, Andrzej Maslowski

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia Quadro FX 1600 M, nVidia Quadro FX 3700

December 25, 2011 by hgpu

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

Binay Kumar Pandey, Rajdeep Niyogi, Ankush Mittal

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Tags: Algorithms, Cluster computing, Computer science, CUDA, nVidia, nVidia Quadro FX 3700, Suffix trees

December 11, 2011 by hgpu

The implementation of Multi-Scale Retinex image enhancement algorithm based on GPU via CUDA

Wang Zheng-ning, Liu Changzhong, Lu Yu, Wu Min, Zhang Ping

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 3700

May 5, 2011 by hgpu

3D Information Extraction Based on GPU

Ying Zhang

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce 8400 M GS, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 3700, Tesla C1060

February 3, 2011 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

Combining Data Parallelism and Task Parallelism for Efficient Performance on Hybrid CPU and GPU Systems

Fast Burrows Wheeler Compression Using CPU and GPU

A Performance Criteria for parallel Computation on basis of block size using CUDA Architecture

Implementation of Stereo Matching Using High Level Compiler for Parallel Computing Acceleration

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation

New Techniques for Spectral Image Acquisition and Analysis

Artifact-Free JPEG Decompression with Total Generalized Variation

Toward Real-Time Dense 3d Reconstruction using Stereo Vision

Methodology of control and supervision of web connected mobile robots with CUDA technology application

A Dynamic Approach to Weighted Suffix Tree Construction Algorithm

The implementation of Multi-Scale Retinex image enhancement algorithm based on GPU via CUDA

3D Information Extraction Based on 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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