high performance computing on graphics processing units: hgpu.org

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Visualization Tool for GPGPU Programming

Peter J. Zeno

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Visualization

June 3, 2014 by hgpu

Loo.py: transformation-based code generation for GPUs and CPUs

Andreas Klockner

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Tags: ATI, ATI Radeon HD 7990, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, Programming Languages, PyOpenCL, Python

June 2, 2014 by hgpu

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Luke Mather, Elisabeth Oswald, Carolyn Whitnall

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Tags: AMD Radeon R9 290, ATI, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Security, Tesla K20

June 2, 2014 by hgpu

Data Layout Optimization for Multi-Valued Containers in OpenCL

Robert Strzodka

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Tags: Computer science, Memory model, nVidia, nVidia GeForce GTX 295, OpenCL

May 30, 2014 by hgpu

Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU

Michael G. Gowanlock, Henri Casanova

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Tags: Algorithms, Computer science, Databases, nVidia, OpenCL, Tesla C2075

May 30, 2014 by hgpu

Automatic Termination Analysis for GPU Kernels

Jeroen Ketema, Alastair F. Donaldson

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

May 26, 2014 by hgpu

GPU Passthrough Performance: A Comparison of KVM, Xen, VMWare ESXi, and LXC for CUDA and OpenCL Applications

John Paul Walters, Andrew J. Younge, Dong-In Kang, Ke-Thia Yao, Mikyung Kang, Stephen P. Crago, Geoffrey C. Fox

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Tags: Cloud, Computer science, CUDA, nVidia, OpenCL, Tesla C2075, Tesla K20, Virtualization

May 26, 2014 by hgpu

Engineering a static verification tool for GPU kernels

Ethel Bardsley, Adam Betts, Nathan Chong, Peter Collingbourne, Pantazis Deligiannis, Alastair F. Donaldson, Jeroen Ketema, Daniel Liew, Shaz Qadee

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Tags: Computer science, CUDA, nVidia, OpenCL, Package, Python

May 25, 2014 by hgpu

Vector Quantization: A Many-Core Approach

Rita Silva, Telmo Marques, Jorge Desirat, Patricio Domingues

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Vector quantization

May 21, 2014 by hgpu

Exploiting Parallelism in GPUs

Blake Alan Hechtman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Thesis

May 20, 2014 by hgpu

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

Li Tian, Fugen Zhou, Cai Meng

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Tags: Computer science, DSP, Embedded high-performance computing, nVidia, OpenCL, Task scheduling

May 18, 2014 by hgpu

StarPU-MPI: Task Programming over Clusters of Machines Enhanced with Accelerators

Cedric Augonnet, Olivier Aumage, Nathalie Furmento, Samuel Thibault, Raymond Namyst

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, OpenCL, Tesla M2070

May 18, 2014 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

Visualization Tool for GPGPU Programming

Loo.py: transformation-based code generation for GPUs and CPUs

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Data Layout Optimization for Multi-Valued Containers in OpenCL

Parallel Distance Threshold Query Processing for Spatiotemporal Trajectory Databases on the GPU

Automatic Termination Analysis for GPU Kernels

Engineering a static verification tool for GPU kernels

Vector Quantization: A Many-Core Approach

Exploiting Parallelism in GPUs

An OpenCL Runtime and Scheduler for Embedded Multicore DSP Parallel Systems

StarPU-MPI: Task Programming over Clusters of Machines Enhanced with Accelerators

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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