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A hardware-aware debugger for the OpenGL shading language

Magnus Strengert, Thomas Klein, Thomas Ertl

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Tags: Computer science, GLSL, High-level Languages, nVidia, OpenGL, Package, Programming techniques

January 3, 2011 by hgpu

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Fred V. Lionetti, Andrew D. McCulloch, Scott B. Baden

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Tags: Computational biology, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 295, Optimization

December 29, 2010 by hgpu

Introduction to GPGPU programming

Jay E. Steele, Robert Cochran

Tags: Computer science, High-level Languages, Programming techniques, Review

December 29, 2010 by hgpu

NVIDIA CUDA software and gpu parallel computing architecture

David Kirk

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

December 28, 2010 by hgpu

CGiS, a new Language for Data-parallel GPU Programming

Nicolas Fritz, Philipp Lucas, Philipp Slusallek

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

December 26, 2010 by hgpu

MIMD Interpretation on a GPU

Henry G. Dietz, B. Dalton Young

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Tags: Algorithms, Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce 8600 M GT, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GT, nVidia GeForce GTX 280

December 21, 2010 by hgpu

A Cross-Input Adaptive Framework for GPU Programs Optimization

Yixun Liu, Eddy Z. Zhang, Xipeng Shen

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

December 18, 2010 by hgpu

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Seyong Lee, Seung-Jai Min, and Rudolf Eigenman

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia Quadro FX 5600, OpenMP, Programming techniques

December 15, 2010 by hgpu

Compiler support for general-purpose computation on GPUs

Yu-Te Lin, Peng-Sheng Chen

Tags: Cg, Computer science, High-level Languages, nVidia, OpenGL

December 15, 2010 by hgpu

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

John Stratton, Sam Stone, Wen-Mei Hwu

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

December 12, 2010 by hgpu

A compiler framework for optimization of affine loop nests for gpgpus

Muthu M. Baskaran, Uday Bondhugula, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan

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

December 12, 2010 by hgpu

CUDA: Scalable parallel programming for high-performance scientific computing

D. Luebke

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

December 12, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A hardware-aware debugger for the OpenGL shading language

Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling

Introduction to GPGPU programming

NVIDIA CUDA software and gpu parallel computing architecture

CGiS, a new Language for Data-parallel GPU Programming

MIMD Interpretation on a GPU

A Cross-Input Adaptive Framework for GPU Programs Optimization

OpenMP to GPGPU: a compiler framework for automatic translation and optimization

Compiler support for general-purpose computation on GPUs

MCUDA: An Efficient Implementation of CUDA Kernels for Multi-core CPUs

A compiler framework for optimization of affine loop nests for gpgpus

CUDA: Scalable parallel programming for high-performance scientific computing

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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