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hiCUDA: High-Level GPGPU Programming

Tianyi David Han, Tarek S. Abdelrahman

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT, Package, Presentation

July 17, 2011 by hgpu

SCGPSim: A fast SystemC simulator on GPUs

Mahesh Nanjundappa, Hiren D. Patel, Bijoy A. Jose, Sandeep K. Shukla

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, Tesla D870

July 8, 2011 by hgpu

Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation

Li Chen, Lei Liu, Shenglin Tang, Lei Huang, Zheng Jing, Shixiong Xu, Dingfei Zhang, Baojiang Shou

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Tags: Computer science, CUDA, GPU cluster, High-level Languages, MPI, nVidia, nVidia GeForce 9800 GX2

July 1, 2011 by hgpu

MapCG: writing parallel program portable between CPU and GPU

Chuntao Hong, Dehao Chen, Wenguang Chen, Weimin Zheng, Haibo Lin

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Tags: Computer science, CUDA, High-level Languages, MapReduce, nVidia, nVidia GeForce GTX 280, Programming techniques

June 2, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

GPULib: GPU Computing in High-Level Languages

Peter Messmer, Paul J. Mullowney, Brian E. Granger

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Tags: Computer science, CUDA, High-level Languages, nVidia, Package

May 9, 2011 by hgpu

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

Dan Li, Haijun Cao, Xiaoshe Dong, Bao Zhang

Tags: Code generation, Compilers, Computer science, CUDA, High-level Languages, nVidia

April 23, 2011 by hgpu

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Dominik Grewe, Anton Lokhmotov

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Tags: ATI, ATI Radeon HD 5970, Code generation, Computer science, CUDA, High-level Languages, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S1070

April 21, 2011 by hgpu

Automated development of applications for graphical processing units using rewriting rules

Anatoliy Yu. Doroshenko, Konstantin Zhereb

Tags: Code generation, Computer science, High-level Languages, Programming techniques

April 12, 2011 by hgpu

EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system

Perry H. Wang, Jamison D. Collins, Gautham N. Chinya, Hong Jiang, Xinmin Tian, Milind Girkar, Nick Y. Yang, Guei Y. Lueh, Hong Wang

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Tags: Computer science, Heterogeneous systems, High-level Languages, Intel, Intel GMA X3000, OpenMP

April 11, 2011 by hgpu

An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA

N. Ghaemian, M. Sharifi, B. Minaei,R. Orujov

Tags: Computer science, CUDA, Fortran, High-level Languages, nVidia

April 6, 2011 by hgpu

CUDACL: A tool for CUDA and OpenCL programmers

Ferosh Jacob, David Whittaker, Sagar Thapaliya, Purushotham Bangalore, Marjan Mernik, Jeff Gray

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Tags: Computer science, CUDA, High-level Languages, Java, nVidia, nVidia GeForce GTX 260, OpenCL

March 31, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

hiCUDA: High-Level GPGPU Programming

SCGPSim: A fast SystemC simulator on GPUs

Unified Parallel C for GPU Clusters: Language Extensions and Compiler Implementation

MapCG: writing parallel program portable between CPU and GPU

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

GPULib: GPU Computing in High-Level Languages

GPU-S2S: A Compiler for Source-to-Source Translation on GPU

Automatically generating and tuning GPU code for sparse matrix-vector multiplication from a high-level representation

Automated development of applications for graphical processing units using rewriting rules

EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system

An algorithmic incremental and iterative development method to parallelize dusty-deck FORTRAN HPC codes in GPGPUs using CUDA

CUDACL: A tool for CUDA and OpenCL programmers

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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