high performance computing on graphics processing units: hgpu.org

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GPU Accelerated Molecular Dynamics Simulation, Visualization, and Analysis

Ivan Teo, Juan Perilla, Rezvan Shahoei, Ryan McGreevy, Chris Harrison

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Tags: Computer science, CUDA, Molecular dynamics, nVidia, Tutorial, Visualization

May 24, 2014 by hgpu

GLSL Essentials

Jacobo Rodriguez

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Tags: 3D Graphics and Realism, Book, Computer science, GLSL, OpenGL, Rendering, Tutorial

January 5, 2014 by hgpu

OpenCL Programming by Example

Ravishekhar Banger, Koushik Bhattacharyya

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Tags: Book, Computer science, Image processing, Matrix multiplication, Memory model, Nearest neighbour, OpenCL, OpenGL, Pattern recognition, Tutorial

December 27, 2013 by hgpu

Designing Scientific Applications on GPUs

Raphael Couturier

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Source codes

Tags: Book, Computer science, CUDA, Factorization, Fluid simulation, Image processing, Mathematics, nVidia, Physics, Tutorial

November 13, 2013 by hgpu

Computer Graphics: From Pixels to Programmable Graphics Hardware

Alexey Boreskov, Evgeniy Shikin

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Tags: 3D Graphics and Realism, Algorithms, Book, Computer science, CUDA, Games, nVidia, OpenCL, OpenGL, Overview, Real-time graphics, Rendering, Tessellation, Tutorial

November 6, 2013 by hgpu

OpenCL Parallel Programming Development Cookbook

Raymond Tay

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Tags: Book, Computer science, Heterogeneous systems, OpenCL, Tutorial

September 27, 2013 by hgpu

OpenCL Programming Guide for Mac

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Tags: Algorithms, Computer science, OpenCL, Tutorial

August 24, 2013 by hgpu

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

Andre R. Brodtkorb, Trond R. Hagen, Christian Schulz, Geir Hasley

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Optimization, Tutorial

August 12, 2013 by hgpu

GPU Sparse Matrix Multiplication with CUDA

Sean Rose

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Sparse matrix, Tutorial

May 9, 2013 by hgpu

Graphics Programming on the Web WebCL Course Notes

Mikael Bourges-Sevenier

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Tags: Computer science, OpenCL, Review, Tutorial

May 1, 2013 by hgpu

GPU Computing in Discrete Optimization – Part II: Survey Focused on Routing Problems

Christian Schulz, Geir Hasle, Andre R. Brodtkorb, Trond R. Hagen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Tutorial

April 19, 2013 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

GPU Accelerated Molecular Dynamics Simulation, Visualization, and Analysis

GLSL Essentials

OpenCL Programming by Example

Designing Scientific Applications on GPUs

Computer Graphics: From Pixels to Programmable Graphics Hardware

OpenCL Parallel Programming Development Cookbook

OpenCL Programming Guide for Mac

GPU Computing in Discrete Optimization. Part II: Survey Focused on Routing Problems

GPU Computing in Discrete Optimization. Part I: Introduction to the GPU

GPU Sparse Matrix Multiplication with CUDA

Graphics Programming on the Web WebCL Course Notes

GPU Computing in Discrete Optimization – Part II: Survey Focused on Routing Problems

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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