high performance computing on graphics processing units: hgpu.org

Jairo Panetta, Thiago Teixeira, Paulo R. P. de Souza Filho, Carlos A. da Cunha Finho, David Sotelo, Fernando M. da Motta, Silvio S. Pinheiro, Ivan P. Junior, Andre L. Rosa, Luiz R. Monnerat, Leandro T. Carneiro, Carlos H. B. de Albrecht

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Tags: CUDA, Geoscience, GPU cluster, nVidia, Physics, Tesla C1060

October 28, 2010 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

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gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

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LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

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Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

GPU acceleration of cutoff pair potentials for molecular modeling applications

AUTO-GC: Automatic translation of data mining applications to GPU clusters

CUDA cuts: Fast graph cuts on the GPU

GPU packet classification using OpenCL: a consideration of viable classification methods

An adaptive performance modeling tool for GPU architectures

An efficient implementation of Smith Waterman algorithm on GPU using CUDA, for massively parallel scanning of sequence databases

Fast Simulations of Gravitational Many-body Problem on RV770 GPU

String Matching on a Multicore GPU Using CUDA

Pseudo-random number generators for Monte Carlo simulations on Graphics Processing Units

Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU

Motion Compensation and Reconstruction of H.264/AVC Video Bitstreams using the GPU

Accelerating Kirchhoff Migration by CPU and GPU Cooperation

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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