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BSGP: bulk-synchronous GPU programming

Qiming Hou, Kun Zhou, Baining Guo

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX

December 7, 2010 by hgpu

Scout: a data-parallel programming language for graphics processors

Patrick McCormick, Jeff Inman, James Ahrens, Jamaludin M. Yusof, Greg Roth, Sharen Cummins

Tags: Computer science, High-level Languages, Visualization

December 5, 2010 by hgpu

GPU Computing: Programming a Massively Parallel Processor

Ian Buck

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

December 4, 2010 by hgpu

Implementing an embedded GPU language by combining translation and generation

Calle Lejdfors, Lennart Ohlsson

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Tags: ATI, High-level Languages, Image processing, nVidia, OpenGL

December 3, 2010 by hgpu

Glift: Generic, efficient, random-access GPU data structures

Aaron E. Lefohn, Joe Kniss, Robert Strzodka, Shubhabrata Sengupta, John D. Owens

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Tags: Cg, Computer science, Data Structures and Algorithms, High-level Languages, nVidia, nVidia GeForce 6800 GT

December 2, 2010 by hgpu

Synergistic execution of stream programs on multicores with accelerators

Abhishek Udupa, R. Govindarajan, Matthew J. Thazhuthaveetil

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTS, Package

November 23, 2010 by hgpu

hiCUDA: a high-level directive-based language for GPU programming

Tianyi D. Han, Tarek S. Abdelrahman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GT

November 23, 2010 by hgpu

A GPGPU compiler for memory optimization and parallelism management

Yi Yang, Ping Xiang, Jingfei Kong, Huiyang Zhou

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Tags: Computer science, CUBLAS, CUDA, High-level Languages, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package

November 18, 2010 by hgpu

Cg in Two Pages

Mark J. Kilgard

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Tags: Cg, Computer science, High-level Languages, HLSL, nVidia, Review

November 13, 2010 by hgpu

Accelerator: using data parallelism to program GPUs for general-purpose uses

David Tarditi, Sidd Puri, Jose Oglesby

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Tags: ATI, ATI Radeon X1800, ATI Radeon X850 XT, Computer science, High-level Languages, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX

November 5, 2010 by hgpu

Parallel Computing Experiences with CUDA

M. Garland, S. Le Grand, J. Nickolls, J. Anderson, J. Hardwick, S. Morton, E. Phillips, Yao Zhang, V. Volkov

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

November 4, 2010 by hgpu

Issues and challenges in compiling for graphics processors

Norm Rubin

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Tags: Computer science, High-level Languages, Presentation, Review

November 4, 2010 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

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high performance computing on graphics processing units: hgpu.org

BSGP: bulk-synchronous GPU programming

Scout: a data-parallel programming language for graphics processors

GPU Computing: Programming a Massively Parallel Processor

Implementing an embedded GPU language by combining translation and generation

Glift: Generic, efficient, random-access GPU data structures

Synergistic execution of stream programs on multicores with accelerators

hiCUDA: a high-level directive-based language for GPU programming

A GPGPU compiler for memory optimization and parallelism management

Cg in Two Pages

Accelerator: using data parallelism to program GPUs for general-purpose uses

Parallel Computing Experiences with CUDA

Issues and challenges in compiling for graphics processors

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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