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Empirical performance modeling of GPU kernels using active learning

Prasanna Balaprakash, Karl Rupp, Azamat Mametjanov, Robert B. Gramacy, Paul D. Hovland, Stefan M. Wild

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 470, OpenCL, Performance, Tesla C2050, Tesla K20

October 17, 2013 by hgpu

A Dynamic Resource Management System for Network-Attached Accelerator Clusters

Suraj Prabhakaran, Mohsin Iqbal, Sebastian Rinke, Felix Wolf

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia

October 17, 2013 by hgpu

Real-time computation of interactive waves using the GPU

Martijn de Jong, Auke van der Ploeg, Auke Ditzel, Kees Vuik

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Tags: CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 580

October 17, 2013 by hgpu

cudaMap: a GPU accelerated program for gene expression connectivity mapping

Darragh G McArt, Peter Bankhead, Philip D Dunne, Manuel Salto-Tellez, Peter Hamilton, Shu-Dong Zhang

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, Tesla C2050

October 17, 2013 by hgpu

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Egil Fykse

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Tags: Benchmarking, Computer science, Computer vision, CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 660 Ti, nVidia Quadro 1000 M, OpenCV, Performance, Thesis

October 15, 2013 by hgpu

Scaling Soft Matter Physics to Thousands of GPUs in Parallel

Alan Gray, Alistair Hart, Oliver Henrich, Kevin Stratford

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Tags: CUDA, Fluid dynamics, Lattice Boltzmann model, Molecular dynamics, nVidia, Physics, Tesla K20

October 15, 2013 by hgpu

Domain-Specific Languages for Heterogeneous Parallel Computing

HyoukJoong Lee, Kevin J. Brown, Arvind K. Sujeeth, Hassan Chafi, Tiark Rompf, Martin Odersky, Kunle Olukotun

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, Machine learning, nVidia, Tesla C2050

October 15, 2013 by hgpu

GPU-acceleration of parallel unconditionally stable group explicit finite difference method

K. Parand, Saeed Zafarvahedian, Sayyed A. Hossayni

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Tags: Algorithms, Computer science, CUDA, Finite difference, Numerical Analysis, nVidia, nVidia GeForce GT 335 M

October 15, 2013 by hgpu

GPU-Framework for Teamwork Action Recognition

Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, Eman Shaaban

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce 9500 GT, OpenCV

October 15, 2013 by hgpu

An Efficient WSN Simulator for GPU-Based Node Performance

An Na Kang, Hyun-Woo Kim, Leonard Barolli, Young-Sik Jeong

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Tags: Computer science, CUDA, nVidia, Sensing

October 15, 2013 by hgpu

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Jiri Havel

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Tags: CUDA, Image processing, nVidia, nVidia GeForce GTX 280, OpenGL, Pattern recognition

October 15, 2013 by hgpu

Massively Parallel Lossless Compression of Medical Images Using Least-Squares Prediction and Arithmetic Coding

Andreas Weinlich, Johannes Rehm, Peter Amon, Andreas Hutter, Andre Kaup

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Tags: Compression, CUDA, Image processing, Medicine, nVidia, nVidia GeForce GTX 480

October 15, 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

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high performance computing on graphics processing units: hgpu.org

Empirical performance modeling of GPU kernels using active learning

A Dynamic Resource Management System for Network-Attached Accelerator Clusters

Real-time computation of interactive waves using the GPU

cudaMap: a GPU accelerated program for gene expression connectivity mapping

Performance Comparison of GPU, DSP and FPGA implementations of image processing and computer vision algorithms in embedded systems

Scaling Soft Matter Physics to Thousands of GPUs in Parallel

Domain-Specific Languages for Heterogeneous Parallel Computing

GPU-acceleration of parallel unconditionally stable group explicit finite difference method

GPU-Framework for Teamwork Action Recognition

An Efficient WSN Simulator for GPU-Based Node Performance

Point to Line Mappings and Other Line Parameterizations not only for Hough Transform

Massively Parallel Lossless Compression of Medical Images Using Least-Squares Prediction and Arithmetic Coding

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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