high performance computing on graphics processing units: hgpu.org

Trevor Bekolay, James Bergstra, Eric Hunsberger, Travis DeWolf, Terrence C. Stewart, Daniel Rasmussen, Xuan Choo, Aaron Russell Voelker, Chris Eliasmith

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Tags: ATI, ATI Radeon HD 7970, Biology, Neuroscience, nVidia, nVidia GeForce GTX 280, OpenCL, Package, PyOpenCL, Python

January 9, 2014 by hgpu

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer’s Disease

Denis P. Shamonin, Esther E. Bron, Boudewijn P. Lelieveldt, Marion Smits, Stefan Klein, Marius Staring

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Tags: Bioinformatics, Image processing, Image registration, Medicine, MRI, Neuroscience, nVidia, nVidia GeForce GTX 480, OpenCL

January 2, 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

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high performance computing on graphics processing units: hgpu.org

Performance Comparison for Neuroscience Application Benchmarks

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems

Feynman Machine: The Universal Dynamical Systems Computer

GeNN: a code generation framework for accelerated brain simulations

Efficient Kernel Fusion Techniques for Massive Video Data Analysis on GPGPUs

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing

Simulating spiking neural networks on massively parallel graphical processing units using a code generation approach with GeNN

Analysis of Surface Folding Patterns of DICCCOLS Using the GPU-Optimized Geodesic Field Estimate

GPU-Accelerated Dynamic Functional Connectivity Analysis for Functional MRI Data Using OpenCL

Graphic Processing Unit Simulation of Axon Growth and Guidance through Cue Diffusion on Massively Parallel Processors

Nengo: a Python tool for building large-scale functional brain models

Fast Parallel Image Registration on CPU and GPU for Diagnostic Classification of Alzheimer’s Disease

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR