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A Language for Nested Data Parallel Design-space Exploration on GPUs

Bo Joel Svensson, Mary Sheeran, Ryan R. Newton

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Tags: Computer science, CUDA, Data parallelism, Haskell, nVidia, nVidia GeForce GTX 680, Tesla C2070

April 11, 2014 by hgpu

An optimized algorithm for discrete element system analysis using CUDA

Zhaosong Ma, Chun Feng, Tianping Liu, Shihai Li

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Tags: Algorithms, Computer science, CUDA, Finite element method, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 460, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla C2070

March 17, 2014 by hgpu

The Flocking Based and GPU Accelerated Internet Traffic Classification

Zhiguang Xu

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 13, 2014 by hgpu

Dynamic Workload Division in GPU-CPU Heterogeneous Systems

Wei Chen

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2070, Thesis

March 7, 2014 by hgpu

Performance Optimization of Clustering On GPU

Vijal D. Patel, Sumitra Menaria

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Tags: Algorithms, Clustering, Computer science, CUDA, Hierarchical clustering, nVidia, nVidia GeForce GTX 480, Tesla C2070

March 4, 2014 by hgpu

Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations

Benoit Lange, Pierre Fortin

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Tags: Algorithms, Astrophysics, CUDA, N-body simulation, nVidia, Tesla C2070, Tesla K20

February 27, 2014 by hgpu

Parallel Spectral Graph Partitioning on CUDA

Orhan Firat, Alptekin Temizel

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Tags: Algorithms, CUDA, Image processing, Machine learning, nVidia, Tesla C2070

February 23, 2014 by hgpu

Fast Boolean Calculations Using the GPU

Bernd Steinbach, Matthias Werner

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Tags: Computer science, CUDA, nVidia, Tesla C2070

February 21, 2014 by hgpu

A Similarity-Based Analysis Tool for Scientific Application Porting

Wei Ding

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, OpenMP, Performance, Portability, Tesla C2070, Thesis

February 17, 2014 by hgpu

GPU-based high-performance computing for radiation therapy

Xun Jia, Peter Ziegenhein, Steve B Jiang

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Tags: CUDA, Medicine, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, nVidia GeForce GTX 480, nVidia GeForce GTX 570, nVidia GeForce GTX 580, nVidia GeForce GTX 590, Physics, Radiotherapy, Review, Tesla C1060, Tesla C2050, Tesla C2070

February 9, 2014 by hgpu

Autotuning Programs with Algorithmic Choice

Jason Ansel

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Source codes

Tags: Algorithms, ATI, ATI Radeon HD 6630 M, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2070, Thesis

January 28, 2014 by hgpu

A comparison between parallelization approaches in molecular dynamics simulations on GPUs

Lorenzo Rovigatti, Petr Sulc, Istvan Z. Reguly, Flavio Romano

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Source codes

Tags: Computational Physics, CUDA, Molecular dynamics, nVidia, Package, Physics, Soft Condensed Matter, Tesla C2070, Tesla K10, Tesla K20

January 23, 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

A Language for Nested Data Parallel Design-space Exploration on GPUs

An optimized algorithm for discrete element system analysis using CUDA

The Flocking Based and GPU Accelerated Internet Traffic Classification

Dynamic Workload Division in GPU-CPU Heterogeneous Systems

Performance Optimization of Clustering On GPU

Parallel dual tree traversal on multi-core and many-core architectures for astrophysical N-body simulations

Parallel Spectral Graph Partitioning on CUDA

Fast Boolean Calculations Using the GPU

A Similarity-Based Analysis Tool for Scientific Application Porting

GPU-based high-performance computing for radiation therapy

Autotuning Programs with Algorithmic Choice

A comparison between parallelization approaches in molecular dynamics simulations on GPUs

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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