high performance computing on graphics processing units: hgpu.org

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Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic

Jan Verschelde, Xiangcheng Yu

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Tags: Algorithms, Computer science, CUDA, Extended precision, Linear Algebra, Mathematical Software, Numerical Analysis, nVidia, Package, Tesla K20

January 28, 2015 by hgpu

GPU Programming – Speeding Up the 3D Surface Generator VESTA

B. R. Schlei

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Tags: Computed tomography, Computer science, CT, CUDA, Graphics, nVidia, nVidia GeForce GTX 750 Ti

January 28, 2015 by hgpu

On Longest Repeat Queries Using GPU

Yun Tian, Bojian Xu

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Tags: Biology, Computational biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti

January 28, 2015 by hgpu

The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing

Blesson Varghese

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Tags: Computational Engineering, Computer science, CUDA, Finance, Intel Xeon Phi, nVidia, Performance, Tesla C2075

January 28, 2015 by hgpu

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

Lukasz Laniewski-Wollk, Jacek Rokicki

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, Tesla M2090

January 26, 2015 by hgpu

A High Performance Framework for Coupled Urban Microclimate Models

Matthew C. Overby

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Tags: CUDA, Earth and Space Sciences, nVidia, nVidia GeForce GTX 690, Tesla S2050, Thesis, Visualization

January 26, 2015 by hgpu

Tangram: a High-level Language for Performance Portable Code Synthesis

Li-Wen Chang, Abdul Dakkak, Christopher I. Rodrigues, Wen-mei Hwu

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Tags: Computer science, High-level Languages, nVidia, OpenCL, Tesla C2050

January 26, 2015 by hgpu

GPU computing architecture for irregular parallelism

Wilson Wai Lun Fung

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, Performance, Thesis

January 26, 2015 by hgpu

Performance Analysis of Join Algorithms on GPUs

Ran Rui, Hao Li, Yi-Cheng Tu

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Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 980, nVidia GeForce GTX Titan, Performance

January 26, 2015 by hgpu

Real-time physically cloth simulation with CUDA

Li Huaming, Kang Baosheng

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Rendering

January 23, 2015 by hgpu

Revisit Long Short-Term Memory: An Optimization Perspective

Qi Lyu, Jun Zhu

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Tags: Computer science, CUDA, Machine learning, MapReduce, Neural networks, nVidia, nVidia GeForce GTX 770

January 23, 2015 by hgpu

Can Portability Improve Performance? An Empirical Study of Parallel Graph Analytics

Ana Lucia Varbanescu, Merijn Verstraaten, Cees de Laat, Ate Penders, Alexandru Iosup, Henk Sips

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Tags: Algorithms, Computer science, Graph theory, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Tesla C2050

January 23, 2015 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

Accelerating Polynomial Homotopy Continuation on a Graphics Processing Unit with Double Double and Quad Double Arithmetic

GPU Programming – Speeding Up the 3D Surface Generator VESTA

On Longest Repeat Queries Using GPU

The GPU vs Phi Debate: Risk Analytics Using Many-Core Computing

Adjoint Lattice Boltzmann for Topology Optimization on multi-GPU architecture

A High Performance Framework for Coupled Urban Microclimate Models

Tangram: a High-level Language for Performance Portable Code Synthesis

GPU computing architecture for irregular parallelism

Performance Analysis of Join Algorithms on GPUs

Real-time physically cloth simulation with CUDA

Revisit Long Short-Term Memory: An Optimization Perspective

Can Portability Improve Performance? An Empirical Study of Parallel Graph Analytics

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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