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Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods

Christopher Cooper, Lorena A. Barba

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Tags: Bioinformatics, Biophysics, Boltzmann equation, Computational Physics, Computer science, CUDA, Electrostatics, nVidia, Package, Physics, Poisson Boltzmann, Python, Tesla C2075

January 31, 2013 by hgpu

Particle method on GPU

Jean-Matthieu Etancelin, Georges-Henri Cottet, Christophe Picard, Franck Perignon

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Tags: Algorithms, ATI, ATI Radeon HD 6770 M, Computer science, OpenCL, Python

January 31, 2013 by hgpu

GPGPU-BASED Cortical Modeling

Theodore Hilk

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Tags: Algorithms, ATI, ATI Radeon HD 6870, ATI Radeon HD 7970, Image processing, OpenCL, PyOpenCL, Python

January 11, 2013 by hgpu

Multi-level Debugging for Multi-stage, Parallelizing Compilers

Richard Xia, Tayfun Elmas, Shoaib Ashraf Kamil, Armando Fox, Koushik Sen

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

December 12, 2012 by hgpu

A compiler toolkit for array-based languages targeting CPU/GPU hybrid systems

Rahul Garg, Laurie Hendren

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Code generation, Compilers, Computer science, OpenCL, Package, Python, Tesla C2050

November 26, 2012 by hgpu

PyFAI, a versatile library for azimuthal regrouping

Jerome Kieffer, Dimitrios Karkoulis

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Tags: ATI, ATI FirePro V7800, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Python, Tesla C2075

November 25, 2012 by hgpu

G-SNPM – A GPU-based SNP mapping tool

Alessandro Orro, Andrea Manconi, Emanuele Manca, Giuliano Armano, Luciano Milanesi

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Next-Generation sequencing, nVidia, nVidia GeForce GTX 480, Package, Python, Smith-Waterman algorithm

November 14, 2012 by hgpu

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

Cyrus Harrison, Paul Navratil, Maysam Moussalem, Ming Jiang, Hank Childs

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Tags: Computer science, nVidia, OpenCL, Python, Tesla M2050, Visualization

November 10, 2012 by hgpu

GPU Virtualization

Kristoffer Robin Stokke

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia Quadro NVS 295, Package, Python, Thesis, Virtualization

November 7, 2012 by hgpu

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum, Brian Vinter

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Tags: Computer science, OpenCL, Optimization, Package, Programming Languages, Python

November 5, 2012 by hgpu

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

David Sheffield, Michael Anderson, Kurt Keutzer

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Tags: Computer science, Design space exploration, FPGA, Package, Python

October 25, 2012 by hgpu

Simulating spiking neural networks on GPU

Romain Brett

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 580, Package, Python, Review

September 19, 2012 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

Validation of the PyGBe code for Poisson-Boltzmann equation with boundary element methods

Particle method on GPU

GPGPU-BASED Cortical Modeling

Multi-level Debugging for Multi-stage, Parallelizing Compilers

A compiler toolkit for array-based languages targeting CPU/GPU hybrid systems

PyFAI, a versatile library for azimuthal regrouping

G-SNPM – A GPU-based SNP mapping tool

Efficient Dynamic Derived Field Generation on Many-Core Architectures Using Python

GPU Virtualization

cphVB: A System for Automated Runtime Optimization and Parallelization of Vectorized Applications

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

Simulating spiking neural networks on 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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