high performance computing on graphics processing units: hgpu.org

A. Gianelle, S. Amerio, D. Bastieri, M. Corvo, W. Ketchum, T. Liu, A. Lonardo, D. Lucchesi, S. Poprocki, R. Rivera, L. Tosoratto, P. Vicini, P. Wittich

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Tags: ATI, ATI Radeon HD 7970, CUDA, High Energy Physics - Experiment, Instrumentation and Detectors, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance, Physics, Tesla K20, Tesla M2050

December 6, 2013 by hgpu

Fast quantum Monte Carlo on a GPU

Y. Lutsyshyn

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, Physics, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Kazumasa Ikeuchi, Janaka Wijekoon, Shinichi Ishida, Hiroaki Nishi

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 680, Software router, String matching

December 4, 2013 by hgpu

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Mudassar Majeed, Usman Dastgeer, Christoph Kessler

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Tags: Algorithms, Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla M2090

December 4, 2013 by hgpu

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

Youngsung Soh, Hadi Ashraf, Yongsuk Hae, Intaek Kim

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 550 Ti

December 4, 2013 by hgpu

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

Raymond Flagg, Jason Monk, Yifeng Zhu, Bruce Segee

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Tags: CUDA, Mathematics, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680

December 4, 2013 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

Programming

Parallel tree-ensemble algorithms for GPUs using CUDA

Speeding up the small progress measures algorithm for parity games using the GPU

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Similarity Search in Metric Spaces on Parallel multi-core and multi-GPU Platforms

A Fast Implementation of Parallel Discrete-Event Simulation on GPGPU

Using Shared Memory as a Cache in Cellular Automata Water Flow Simulations on GPUs

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

Fast quantum Monte Carlo on a GPU

GPU-based Multi-stream Analyzer on Application Layer for Service-oriented Router

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

A Hybrid Approach to Parallel Connected Component Labeling Using CUDA

Optimizing Data Locality for Iterative Matrix Solvers on CUDA

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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