high performance computing on graphics processing units: hgpu.org

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Implementation of Variable Preconditioned GCR with mixed precision on GPU using CUDA

Soichiro Ikuno, Norihisa Fujita, Susumu Yamamoto, Susumu Nakata

Tags: CUDA, Electrodynamics, Mixed precision, nVidia

March 5, 2011 by hgpu

Data Mining Using Graphics Processing Units

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther and Andrew Zherdin

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

March 5, 2011 by hgpu

Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Yang Su, Zhijie Xu

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Tags: Cg, Image processing, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal denoising, Wavelet

March 5, 2011 by hgpu

Inter-Block GPU Communication via Fast Barrier Synchronization

Shucai Xiao, Wu-chun Feng

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 280, Performance, Sorting

March 5, 2011 by hgpu

Designing Efficient Many-Core Parallel Algorithms for All-Pairs Shortest-Paths Using CUDA

Quoc-Nam Tran

Tags: Algorithms, Computer science, CUDA, nVidia, Path problems

March 5, 2011 by hgpu

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Qing-kui Chen, Jia-kang Zhang

Tags: Computer science, CUDA, GPU cluster, MPI, nVidia, Programming techniques

March 4, 2011 by hgpu

Formal Description and Optimization Based High – Performance Computing on CUDA

Bo Li, Huacheng Zhao, Jingjing Liang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, Optimization, Programming techniques

March 4, 2011 by hgpu

Scene Recognition Acceleration Using CUDA and OpenMP

Yuxin Wang, Zhen Feng, He Guo, Changqin He, Yuansheng Yang

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 4, 2011 by hgpu

Towards a Software Transactional Memory for Graphics Processors

Daniel Cederman, Philippas Tsigas and Muhammad Tayyab Chaudhry

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Programming techniques

March 4, 2011 by hgpu

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Marc A. Suchard, Chris Holmes, Mike West

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Tags: Bayesian, CUDA, Mathematics, nVidia, Review, Statistics

March 4, 2011 by hgpu

Acceleration of Medical Image Registration using Graphics Process Units in Computing Normalized Mutual Information

Wei-Hung Cheng, Cheng-Chang Lu

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Tags: CUDA, Image registration, Medicine, nVidia, nVidia GeForce 9600 GT

March 4, 2011 by hgpu

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

Marc A. Suchard, Quanli Wang, Cliburn Chan, Jacob Frelinger, Andrew Cron, Mike West

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Source codes

Tags: Bayesian, CUDA, Mathematics, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GTX 285, Package, Statistics, Tesla C1060

March 4, 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

Implementation of Variable Preconditioned GCR with mixed precision on GPU using CUDA

Data Mining Using Graphics Processing Units

Parallel implementation of wavelet-based image denoising on programmable PC-grade graphics hardware

Inter-Block GPU Communication via Fast Barrier Synchronization

Designing Efficient Many-Core Parallel Algorithms for All-Pairs Shortest-Paths Using CUDA

A Stream Processor Cluster Architecture Model with the Hybrid Technology of MPI and CUDA

Formal Description and Optimization Based High – Performance Computing on CUDA

Scene Recognition Acceleration Using CUDA and OpenMP

Towards a Software Transactional Memory for Graphics Processors

Some of the What?, Why?, How?, Who? and Where? of Graphics Processing Unit Computing for Bayesian Analysis

Acceleration of Medical Image Registration using Graphics Process Units in Computing Normalized Mutual Information

Understanding GPU Programming for Statistical Computation: Studies in Massively Parallel Massive Mixtures

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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