high performance computing on graphics processing units: hgpu.org

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Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping

Chi-Keung Luk, Sunpyo Hong, Hyesoon Kim

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Programming techniques

January 12, 2011 by hgpu

High-performance CUDA kernel execution on FPGAs

Alexandros Papakonstantinou, Karthik Gururaj, John A. Stratton, Deming Chen, Jason Cong, Wen Mei

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Tags: Computer science, CUDA, FPGA, Performance, Programming techniques

January 11, 2011 by hgpu

Parallel programming for multimedia applications

Hari Kalva, Aleksandar Colic, Adriana Garcia, Borko Furht

Tags: Computer science, CUDA, nVidia, OpenMP, Programming techniques

January 9, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

Four styles of parallel and net programming

Zhiwei Xu, Yongqiang He, Wei Lin, Li Zha

Tags: Computer science, CUDA, MapReduce, nVidia, Programming techniques

January 8, 2011 by hgpu

Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford

Bryan Catanzaro, Armando Fox, Kurt Keutzer, David Patterson, Bor-Yiing Su, Marc Snir, Kunle Olukotun, Pat Hanrahan, Hassan Chafi

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Tags: Computer science, Programming techniques, Review

January 5, 2011 by hgpu

Practical Random Linear Network Coding on GPUs

Xiaowen Chu, Kaiyong Zhao and Mea Wang

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Programming techniques

January 4, 2011 by hgpu

A hardware-aware debugger for the OpenGL shading language

Magnus Strengert, Thomas Klein, Thomas Ertl

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Source codes

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

January 3, 2011 by hgpu

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Yong Cao, Debprakash Patnaik, Sean Ponce, Jeremy Archuleta, Patrick Butler, Wu-chun Feng and Naren Ramakrishnan

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Tags: Computer science, CUDA, Data mining, Neuroscience, nVidia, nVidia GeForce GTX 280, Programming techniques

January 2, 2011 by hgpu

Automatic parallelization for graphics processing units

Alan Leung, Ondrej Lhotak, Ghulam Lashari

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Tags: Computer science, Java, nVidia, nVidia GeForce 7800, Programming techniques, RapidMind

January 2, 2011 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

A code motion technique for accelerating general-purpose computation on the GPU

Takatoshi Ikeda, Fumihiko Ino, and Kenichi Hagihar

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Tags: Computer science, nVidia, nVidia GeForce 6800, OpenGL, Programming techniques

December 24, 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

Qilin: exploiting parallelism on heterogeneous multiprocessors with adaptive mapping

High-performance CUDA kernel execution on FPGAs

Parallel programming for multimedia applications

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Four styles of parallel and net programming

Ubiquitous Parallel Computing from Berkeley, Illinois, and Stanford

Practical Random Linear Network Coding on GPUs

A hardware-aware debugger for the OpenGL shading language

Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware

Automatic parallelization for graphics processing units

Introduction to GPGPU programming

A code motion technique for accelerating general-purpose computation on the GPU

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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