high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

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

Speeding up K-Means Algorithm by GPUs

You Li, Kaiyong Zhao, Xiaowen Chu, Jiming Liu

Tags: Algorithms, Computer science, Matrix multiplication, Optimization

April 13, 2011 by hgpu

Accelerate Cache Simulation with Generic GPU

Wan Han, Gao Xiaopeng, Wang Zhiqiang

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

April 13, 2011 by hgpu

NQueens on CUDA: Optimization Issues

Frank Feinbube, Bernhard Rabe, Martin von Lowis, Andreas Polze

Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization

April 13, 2011 by hgpu

Efficient Collision Detection and Physics-Based Deformation for Haptic Simulation with Local Spherical Hash

Marilena Maule, Anderson Maciel, Luciana Nedel

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Tags: Collision detection, Computer science, CUDA, nVidia, nVidia GeForce 9600 GT, Physics-based simulation, Real-time graphics, Rendering

April 13, 2011 by hgpu

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

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

Speeding up K-Means Algorithm by GPUs

Accelerate Cache Simulation with Generic GPU

NQueens on CUDA: Optimization Issues

Efficient Collision Detection and Physics-Based Deformation for Haptic Simulation with Local Spherical Hash

Recent source codes

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

LLOR: Automatic Repair of OpenMP Programs

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