high performance computing on graphics processing units: hgpu.org

Programming

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A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

Lixiang Wang, Shihai Li, Guoxin Zhang, Zhaosong Ma, Lei Zhang

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Tags: Computer science, CUDA, FEM, Finite element method, Nonlinear analysis, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 670, nVidia GeForce GTX 680

September 18, 2013 by hgpu

A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)

B. van Werkhoven, J. Maassen, M. Kliphuis, H. A. Dijkstra, S. E. Brunnabend, M. van Meersbergen, F. J. Seinstra, H. E. Bal

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Tags: CUDA, Distributed computing, Earth and Space Sciences, Geoscience, nVidia, Tesla K20

September 18, 2013 by hgpu

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Eduarda Monteiro, Marilena Maule, Felipe Sampaio, Claudio Diniz, Bruno Zatt, Sergio Bampi

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Tags: Algorithms, Computer science, CUDA, MPI, nVidia, nVidia GeForce GTX 480, OpenMP, Video encoding

September 17, 2013 by hgpu

Kokkos: Enabling performance portability across manycore architectures

H. Carter Edwards, Christian R. Trott

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Tags: Code generation, Computer science, CUDA, Intel Phi, Molecular dynamics, nVidia, Package, Tesla K20

September 17, 2013 by hgpu

High Throughput Low Latency LDPC Decoding on GPU for SDR Systems

Guohui Wang, Michael Wu, Bei Yin, Joseph R. Cavallaro

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Parity-check codes

September 17, 2013 by hgpu

Parallel Computing Methods For Particle Accelerator Design

Diana Andreea Popescu

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, nVidia Quadro K 2000, OpenMP, Package, Physics, Tesla K20, Thesis

September 17, 2013 by hgpu

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Christopher D. Cooper, Jaydeep P. Bardhan, L. A. Barba

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Tags: Biomolecules, Boltzmann equation, Computational Physics, CUDA, Electrostatics, Intel Phi, nVidia, Package, Physics, Poisson Boltzmann, Python, Tesla C2075

September 17, 2013 by hgpu

Optimal Configuration of GPU Cache Memory to Maximize the Performance

Leonid Djinevski, Sime Arsenovski, Sasko Ristov, Marjan Gusev

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, Memory, nVidia, nVidia GeForce GTX 680, Performance

September 16, 2013 by hgpu

Run-time Image and Video Resizing Using CUDA-enabled GPUs

Ronald Duarte, Resit Sendag

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Tags: CUDA, Image processing, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 580

September 16, 2013 by hgpu

On the Performance and Energy-efficiency of Multi-core SIMD CPUs and CUDA-enabled GPUs

Ronald Duarte, Resit Sendag, Frederick J. Vetter

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, Performance

September 16, 2013 by hgpu

Hybrid Monte Carlo CT Simulation on GPU

Gabor Jakab, Laszlo Szirmay-Kalos

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 590, Particle simulation, Tomography

September 16, 2013 by hgpu

Faster Multiple Pattern Matching System on GPU based on Bit-Parallelism

Hirohito Sasakawa, Hiroki Arimura

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching

September 16, 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

A GPU-based Parallel Procedure for Nonlinear Analysis of Complex Structures Using a Coupled FEM/DEM Approach

A distributed computing approach to improve the performance of the Parallel Ocean Program (v2.1)

Parallel Motion Estimation Implementation for Different Block Matching Algorithms onto GPGPU

Kokkos: Enabling performance portability across manycore architectures

High Throughput Low Latency LDPC Decoding on GPU for SDR Systems

Parallel Computing Methods For Particle Accelerator Design

A biomolecular electrostatics solver using Python, GPUs and boundary elements that can handle solvent-filled cavities and Stern layers

Optimal Configuration of GPU Cache Memory to Maximize the Performance

Run-time Image and Video Resizing Using CUDA-enabled GPUs

On the Performance and Energy-efficiency of Multi-core SIMD CPUs and CUDA-enabled GPUs

Hybrid Monte Carlo CT Simulation on GPU

Faster Multiple Pattern Matching System on GPU based on Bit-Parallelism

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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