high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Deepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar

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Tags: Benchmarking, Compilers, Computer science, Heterogeneous systems, nVidia, OpenCL, Programming Languages, Tesla M2050

July 24, 2014 by hgpu

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Kannappan Palaniappan

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Tags: Algorithms, Benchmarking, Cell processor, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460, Tesla C2070

July 24, 2014 by hgpu

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Istvan Zoltan Reguly

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Tags: Algorithms, Code generation, Computer science, CUDA, Differential equations, FEM, Finite element method, Finite volume method, Fluid dynamics, Heterogeneous systems, Linear Algebra, nVidia, Partial differential equations, PDEs, Programming techniques, Tesla C2070, Tesla K20, Tesla K40, Thesis

July 24, 2014 by hgpu

Electromagnetic Computation and Visualization of Transmission Particle Model and its Simulation Based on GPU

Yingnian Wu, Lin Zhang, Lan Mu

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Tags: Algorithms, CUDA, Electrodynamics, FDTD, nVidia, Raytracing, Visualization

July 24, 2014 by hgpu

Parallel kinetic Monte Carlo simulation of Coulomb glasses

Ezequiel E. Ferrero, Alejandro B. Kolton, Matteo Palassini

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Tags: Algorithms, Condensed matter, CUDA, Disordered Systems and Neural Networks, Monte Carlo simulation, nVidia, nVidia GeForce GTX 470, Package, Tesla C2075, Tesla K20

July 24, 2014 by hgpu

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

S. V. Ghorpade, S. M. Kamalapur

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Metaheuristics, nVidia, nVidia GeForce GTX 680, Search

July 23, 2014 by hgpu

A Study on GPU Computing and Accelerating Simulation of Sedimentary Rock Structure

Koushik Mandal

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla C2075, Thesis

July 23, 2014 by hgpu

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Trevor DeVore

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Tags: Bayesian, Bioinformatics, Biology, CUDA, Heterogeneous systems, nVidia, Tesla K20, Tesla K40, Thesis

July 23, 2014 by hgpu

Accelerating Volume Image Registration through Correlation Ratio based Methods on GPUs

Ang Li, Akash Kumar

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Tags: CUDA, Image processing, Image registration, nVidia, Tesla C2075

July 23, 2014 by hgpu

Faster Multipattern Matching System on GPU Based on Aho-Corasick Algorithm

Gaurav Bhamare, Satish Banait

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Security

July 23, 2014 by hgpu

Dark Sky Simulations: Early Data Release

Samuel W. Skillman, Michael S. Warren, Matthew J. Turk, Risa H. Wechsler, Daniel E. Holz, P. M. Sutter

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Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Package, Python, Tesla K20

July 22, 2014 by hgpu

Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method

Hon Ming Yip, John C. S. Li, Kai Xie, Xin Cui, Agrim Prasad, Qiannan Gao, Chi Chiu Leung, Raymond H. W. Lam

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 640

July 22, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Multi-Core Programming Design Patterns: Stream Processing Algorithms for Dynamic Scene Perceptions

Abstraction and Implementation of Unstructured Grid Algorithms on Massively Parallel Heterogeneous Architectures

Electromagnetic Computation and Visualization of Transmission Particle Model and its Simulation Based on GPU

Parallel kinetic Monte Carlo simulation of Coulomb glasses

Solution Level Parallelization of Local Search Metaheuristic Algorithm on GPU

A Study on GPU Computing and Accelerating Simulation of Sedimentary Rock Structure

A Multi-GPU Compute Solution for Optimized Genomic Selection Analysis

Accelerating Volume Image Registration through Correlation Ratio based Methods on GPUs

Faster Multipattern Matching System on GPU Based on Aho-Corasick Algorithm

Dark Sky Simulations: Early Data Release

Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method

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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