high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications

Build and Travel KD-Tree with CUDA

Meng Zhou

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 780 Ti, Package, Raytracing

May 14, 2014 by hgpu

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Claas Abert, Gregor Wautischer, Florian Bruckner, Armin Satz, Dieter Suess

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Tags: Computational Physics, CUDA, Electrodynamics, Finite difference, nVidia, Package, Physics, Python

May 14, 2014 by hgpu

Geometric Algebra Enhanced Precompiler for C++, OpenCL and Mathematica’s OpenCLLink

Patrick Charrier, Mariusz Klimek, Christian Steinmetz, Dietmar Hildenbrand

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Tags: Algorithms, Code generation, Computer science, CUDA, nVidia, OpenCL, Package

May 12, 2014 by hgpu

GAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda

Shuang Wang, Jihoon Kim, Xiaoqian Jiang, Stefan F Brunner, Lucila Ohno-Machado

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, RNA, Smith-Waterman algorithm, Tesla M2090

May 10, 2014 by hgpu

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Brice Goglin

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Package, Xeon Phi

May 7, 2014 by hgpu

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Non-separable 2D, 3D and 4D filtering with CUDA

Anders Eklund, Paul Dufort

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Tags: CUDA, FFT, Filtering, Image processing, nVidia, nVidia GeForce GTX 680, Package, Signal denoising

May 5, 2014 by hgpu

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Anirudh Mohan Kaushik

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Tags: Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Package, Tesla C2075, Thesis

May 5, 2014 by hgpu

Coalition Structure Generation with the Graphics Processing Unit

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali Ramchurn, Tomasz P. Michalak, Talal Rahwan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Package, Performance

May 3, 2014 by hgpu

SUPERGLUE: A Shared Memory Framework Using Data Versioning for Dependency-Aware Task-Based Parallelization

Martin Tillenius

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Tags: Algorithms, Computer science, Intel Xeon Phi, OpenMP, Package, Task scheduling

April 29, 2014 by hgpu

Efficient Acceleration of Mutual Information Computation for Nonrigid Registration using CUDA

Kei Ikeda, Fumihiko Ino, Kenichi Hagihara

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 580, Package

April 27, 2014 by hgpu

On the Parallelization of Integer Polynomial Multiplication

Farnam Mansouri

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Symbolic Computation, Tesla C2050, Thesis

April 25, 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

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high performance computing on graphics processing units: hgpu.org

Packages

Build and Travel KD-Tree with CUDA

Efficient Energyminimization in Finite-Difference Micromagnetics: Speeding up Hysteresis Computations

Geometric Algebra Enhanced Precompiler for C++, OpenCL and Mathematica’s OpenCLLink

GAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Improving the Programmability of GPU Architectures

Non-separable 2D, 3D and 4D filtering with CUDA

Accelerating Mixed-Abstraction SystemC Models on Multi-Core CPUs and GPUs

Coalition Structure Generation with the Graphics Processing Unit

SUPERGLUE: A Shared Memory Framework Using Data Versioning for Dependency-Aware Task-Based Parallelization

Efficient Acceleration of Mutual Information Computation for Nonrigid Registration using CUDA

On the Parallelization of Integer Polynomial Multiplication

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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