high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Accelerating Particle Swarm Algorithm with GPGPU

M. Cadenas-Montes, M.A. Vega-Rodriguez, J.J. Rodriguez-Vazquez, A. Gomez-Iglesias

Tags: Algorithms, Computer science, Evolutionary Computations, Optimization

April 16, 2011 by hgpu

Emerging technology about GPGPU

Enhua Wu, Youquan Liu

Tags: Computer science, Fluid simulation

April 15, 2011 by hgpu

MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters

Hao Wang, Sreeram Potluri, Miao Luo, Ashish Kumar Singh, Sayantan Sur, Dhabaleswar K. Panda

Tags: Computer science, CUDA, MPI, Network communications, nVidia

April 15, 2011 by hgpu

Implementation of Jacobi iterative method on graphics processor unit

Tao Wang, Yuan Yao, Lin Han, Dan Zhang, Yuanyuan Zhang

Tags: Computer science, CUDA, Linear Algebra, nVidia

April 15, 2011 by hgpu

Parallel On-Chip Power Distribution Network Analysis on Multi-Core-Multi-GPU Platforms

Zhuo Feng, Zhiyu Zeng, Peng Li

Tags: Computer science, Conjugate gradient solver, Networks

April 15, 2011 by hgpu

The development of Mellanox/NVIDIA GPUDirect over InfiniBand-a new model for GPU to GPU communications

Gilad Shainer, Ali Ayoub, Pak Lui, Tong Liu, Michael Kagan, Christian Trott, Greg Scantlen, Paul Crozier

Tags: Computer science, Memory model, Molecular dynamics, Network communications, Networks, nVidia, Tesla

April 15, 2011 by hgpu

Massively parallel implementation of cyclic LDPC codes on a general purpose graphics processing unit

Hyunwoo Ji, Junho Cho, Wonyong Sung

Tags: Computer science, CUDA, Error recovery, nVidia

April 14, 2011 by hgpu

Count Sort for GPU Computing

Weidong Sun, Zongmin Ma

Tags: Algorithms, Computer science, CUDA, nVidia, Sorting

April 14, 2011 by hgpu

A high-performance fault-tolerant software framework for memory on commodity GPUs

Naoya Maruyama, Akira Nukada, Satoshi Matsuoka

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Tags: Computer science, CUDA, Fault simulation, FFT, Matrix multiplication, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, Tesla S1070

April 14, 2011 by hgpu

Scaleable Sparse Matrix-Vector Multiplication with Functional Memory and GPUs

Noboru Tanabe, Yuuka Ogawa, Masami Takata, Kazuki Joe

Tags: Computer science, Heterogeneous systems, Matrix multiplication, Sparse matrix

April 14, 2011 by hgpu

Efficient design and implementation of visual computing algorithms on the GPU

In Kyu Park, Nitin Singhal, Man Hee Lee, Sungdae Cho

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Tags: Algorithms, Computer vision, CUDA, Image processing, JPEG2000, nVidia, nVidia GeForce 9800 GTX, OpenMP

April 14, 2011 by hgpu

Hardware-Efficient Belief Propagation

Chia-Kai Liang, Chao-Chung Cheng, Yen-Chieh Lai, Liang-Gee Chen, Homer H. Chen

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTS

April 13, 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

Applications

Accelerating Particle Swarm Algorithm with GPGPU

Emerging technology about GPGPU

MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters

Implementation of Jacobi iterative method on graphics processor unit

Parallel On-Chip Power Distribution Network Analysis on Multi-Core-Multi-GPU Platforms

The development of Mellanox/NVIDIA GPUDirect over InfiniBand-a new model for GPU to GPU communications

Massively parallel implementation of cyclic LDPC codes on a general purpose graphics processing unit

Count Sort for GPU Computing

A high-performance fault-tolerant software framework for memory on commodity GPUs

Scaleable Sparse Matrix-Vector Multiplication with Functional Memory and GPUs

Efficient design and implementation of visual computing algorithms on the GPU

Hardware-Efficient Belief Propagation

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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