high performance computing on graphics processing units: hgpu.org

hgpu.org » High-level Languages

RTSL: a Ray Tracing Shading Language

Steven G. Parker, Solomon Boulos, James Bigler, Austin Robison

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Tags: Computer science, GLSL, High-level Languages, MPI, OpenGL, Programming techniques, Raytracing, Rendering

July 20, 2011 by hgpu

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

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

RTSL: a Ray Tracing Shading Language

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

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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