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Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

Michelle Perry

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Tags: Bayesian, CUDA, High Energy Physics - Phenomenology, Neural networks, nVidia, nVidia GeForce GT 320 M, Physics, Tesla M2050

October 27, 2014 by hgpu

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce GT 320 M, OpenCL, Performance

May 3, 2014 by hgpu

Parallelization of the Algorithm WHAM with NVIDIA CUDA

Nicolo' Savioli

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Tags: Algorithms, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GT 320 M, Physics, Thesis

February 2, 2014 by hgpu

Heterogeneous Programming with Single Operation Multiple Data

Herve Paulino, Eduardo Marques

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Tags: Computer science, CUDA, Data parallelism, Heterogeneous systems, Java, nVidia, nVidia GeForce GT 320 M, Tesla C2050

December 19, 2013 by hgpu

OpenCL simulations of two-fluid compressible flows with a random choice method

Philippe Helluy, Jonathan Jung

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Tags: Algorithms, ATI, ATI Radeon HD 5850, ATI Radeon HD 7970, Fluid dynamics, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 280, OpenCL

July 22, 2013 by hgpu

CrowdCL: Web-Based Volunteer Computing with WebCL

Tommy MacWilliam, Cris Cecka

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Source codes

Tags: Computer science, Distributed computing, Java, nVidia, nVidia GeForce GT 320 M, OpenCL, Package, Tesla K20

July 7, 2013 by hgpu

Fast Parallel Sorting Algorithms on GPUs

Bilal Jan, Bartolomeo Montrucchio, Carlo Ragusa, Fiaz Gul Khan, Omar Khan

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Tags: Algorithms, Computer science, Data parallelism, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting

December 4, 2012 by hgpu

GPU-accelerated Model Checking of Periodic Self-Suspending Real-Time Tasks

Per-Erik Mahl, Tim Liberg

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 275, Task scheduling, Thesis

June 23, 2012 by hgpu

Cross-Platform OpenCL Code and Performance Portability for CPU and GPU Architectures Investigated with a Climate and Weather Physics Model

Han Dong, Dibyajyoti Ghosh, Fahad Zafar, Shujia Zhou

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Tags: Earth and Space Sciences, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 580 M, OpenCL

May 7, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Parallelization of the Algorithm WHAM with NVIDIA CUDA

Heterogeneous Programming with Single Operation Multiple Data

OpenCL simulations of two-fluid compressible flows with a random choice method

CrowdCL: Web-Based Volunteer Computing with WebCL

Fast Parallel Sorting Algorithms on GPUs

GPU-accelerated Model Checking of Periodic Self-Suspending Real-Time Tasks

Cross-Platform OpenCL Code and Performance Portability for CPU and GPU Architectures Investigated with a Climate and Weather Physics Model

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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