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High Performance Computing Using MPI and OpenMP on Multi-core Parallel Systems

Haoqiang Jin, Dennis Jespersen, Piyush Mehrotra, Rupak Biswas

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Tags: Computer science, MPI, OpenMP

March 28, 2011 by hgpu

Parallel data mining on graphics processors

Wenbin Fang, Ka Keung Lau, Mian Lu, Xiangye Xiao, Chi Kit Lam, Philip Yang Yang, Bingsheng He, Qiong Luo, Pedro V. Sander, Ke Yang

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

March 28, 2011 by hgpu

Parallel frequent patterns mining algorithm on GPU

Jiayi Zhou, Kun-Ming Yu, Bin-Chang Wu

Tags: Algorithms, Computer science, Data mining, Databases

March 27, 2011 by hgpu

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

S. Yamagiwa, L. Sousa

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Tags: Computer science, GPU cluster, MPI, Package

March 27, 2011 by hgpu

A parallelization cost model for GPU

Zhang Dan, Zhao Rongcai, Han Lin, Wang Tao, Qu Jin

Tags: Computer science, Optimization, Performance

March 27, 2011 by hgpu

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

S. Solomon, P. Thulasiraman, R.K. Thulasiram

Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia

March 27, 2011 by hgpu

Data structure design for GPU based heterogeneous systems

Jens Breitbart

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Tags: Computer science, CUDA, Data Structures and Algorithms, Games, Heterogeneous systems, Nearest neighbour, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, OpenMP

March 27, 2011 by hgpu

HCW 2009 keynote talk: GPU computing: Heterogeneous computing for future systems

J. Owens

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Tags: Computer science, Heterogeneous systems, Programming techniques

March 27, 2011 by hgpu

Introduction to GPU Programming with GLSL

R. Marroquim, A. Maximo

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Tags: ATI, Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Rendering, Tutorial

March 25, 2011 by hgpu

Efficient implementation for MD5-RC4 encryption using GPU with CUDA

Changxin Li, Hongwei Wu, Shifeng Chen, Xiaochao Li, Donghui Guo

Tags: Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Security

March 25, 2011 by hgpu

Fast forwarding table lookup exploiting GPU memory architecture

Youngjun Lee, Minseon Jeong, Sanghwan Lee, Eun-Jin Im

Tags: Computer science, Information Retrieval, Network communications, Software router

March 25, 2011 by hgpu

HiAL-Ckpt: A hierarchical application-level checkpointing for CPU-GPU hybrid systems

Xinhai Xu, Yufei Lin, Tao Tang, Yisong Lin

Tags: Computer science, Fault simulation, Heterogeneous systems, MPI

March 25, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

High Performance Computing Using MPI and OpenMP on Multi-core Parallel Systems

Parallel data mining on graphics processors

Parallel frequent patterns mining algorithm on GPU

CaravelaMPI: Message Passing Interface for Parallel GPU-Based Applications

A parallelization cost model for GPU

Exploiting Parallelism in Iterative Irregular Maxflow Computations on GPU Accelerators

Data structure design for GPU based heterogeneous systems

HCW 2009 keynote talk: GPU computing: Heterogeneous computing for future systems

Introduction to GPU Programming with GLSL

Efficient implementation for MD5-RC4 encryption using GPU with CUDA

Fast forwarding table lookup exploiting GPU memory architecture

HiAL-Ckpt: A hierarchical application-level checkpointing for CPU-GPU hybrid systems

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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