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GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Eric Holk, Milinda Pathirage, Arun Chauhan, Andrew Lumsdaine, Nicholas D. Matsakis

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Tags: Computer science, CUDA, High-level Languages, nVidia, nVidia GeForce GTX 460, OpenCL, Package, PTX

June 17, 2013 by hgpu

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Rafael Alejandro Vejarano, Phuong Thi Yen, Jeong-Gun Lee

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Tags: Computer science, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 460, OpenCL, Performance

June 4, 2013 by hgpu

Fluid Motion Modelling Using Vortex Particle Method on GPU

Lukasz Roguski, Sebastian Deorowicz

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 460, Visualization

May 17, 2013 by hgpu

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

libWater: Heterogeneous Distributed Computing Made Easy

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, OpenCL

May 9, 2013 by hgpu

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Maciej Kolomycki

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 460

April 22, 2013 by hgpu

NUMA-Aware Image Compositing on Multi-GPU Platform

Pan Wang, Zhi-Quan Cheng, Ralph Martin, Huahai Liu, Xun Cai, Sikun Li

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Rendering

April 12, 2013 by hgpu

High Performance Computing on GPU for Electromagnetic Logging

V.N. Glinskikh, A.E. Kontorovich, M.I. Epov

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 460, Tesla C1060

April 12, 2013 by hgpu

Development of methods for the processing of mining images using genetic algorithms

Lacezar Licev, Marek Babiuch, Tomas Fabian, Radim Farana

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

April 8, 2013 by hgpu

A new CUDA-based GPU implementation of the two-dimensional Athena code

A. Wasiljew, K. Murawski

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Tags: CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 460

April 7, 2013 by hgpu

CMCpy: Genetic Code-Message Coevolution Models in Python

Peter J. Becich, Brian P. Stark, Harish S. Bhat, David H. Ardell

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 460, Package, Python

March 31, 2013 by hgpu

Recurrence quantification analysis in images with CUDA

Thiago de Lima Prado

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 460

March 24, 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

GPU Programming in Rust: Implementing High Level Abstractions in a Systems Level Language

Parallel Acceleration on Manycore Systems and Its Performance Analysis: OpenCL Case Study

Fluid Motion Modelling Using Vortex Particle Method on GPU

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

libWater: Heterogeneous Distributed Computing Made Easy

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

NUMA-Aware Image Compositing on Multi-GPU Platform

High Performance Computing on GPU for Electromagnetic Logging

Development of methods for the processing of mining images using genetic algorithms

A new CUDA-based GPU implementation of the two-dimensional Athena code

CMCpy: Genetic Code-Message Coevolution Models in Python

Recurrence quantification analysis in images with 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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