high performance computing on graphics processing units: hgpu.org

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Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi

Jianbin Fang, Ana Lucia Varbanescu, Baldomero Imbernon, Jose M. Cecilia, Horacio Perez-Sanchez

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Tags: Bioinformatics, Biology, CUDA, Electrostatics, Intel Xeon Phi, nVidia, Performance, Pharmaceuticals, Tesla K20

September 13, 2014 by hgpu

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Makoto Sadahiro

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Tags: Acoustics, CUDA, Finite difference, Fortran, nVidia, Physics, Tesla K20, Thesis

September 13, 2014 by hgpu

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

Jin Wang, Sudhakar Yalamanchili

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX Titan, Tesla K20, Tesla K40

September 11, 2014 by hgpu

A Validation Testsuite for OpenACC 1.0

Cheng Wang, Rengan Xu, Sunita Chandrasekaran, Barbara Chapman, Oscar Hernandez

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Tags: Compilers, Computer science, Fortran, nVidia, OpenACC, Tesla K20

September 9, 2014 by hgpu

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

Liu Fei, Li Fan, Zhao Jianhui

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Tags: Algorithms, CUDA, FFT, nVidia, Signal processing, Tesla K20

September 5, 2014 by hgpu

HISQ inverter on Intel Xeon Phi and NVIDIA GPUs

O. Kaczmarek, C. Schmidt, P. Steinbrecher, Swagato Mukherjee, M. Wagner

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Tags: Conjugate gradient solver, High Energy Physics - Lattice, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Physics, QCD, Sparse matrix, Tesla K20, Tesla K40

September 5, 2014 by hgpu

Analysis of KECCAK Tree Hashing on GPU Architectures

Jason Michael Lowden

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, Security, Tesla K20, Thesis

September 4, 2014 by hgpu

A uniform approach for programming distributed heterogeneous computing systems

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: AMD FirePro W9000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

September 4, 2014 by hgpu

Performance Portability Study of Linear Algebra Kernels in OpenCL

Karl Rupp, Philippe Tillet, Florian Rudolf, Josef Weinbub, Tibor Grasser, Ansgar Jungel

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 5850, Computer science, Intel Xeon Phi, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Portability, Tesla K20

September 3, 2014 by hgpu

Scalable Kernel Fusion for Memory-Bound GPU Applications

Mohamed Wahib and Naoya Maruyama

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Tags: CUDA, Memory level parallelism, nVidia GeForce GTX 750 Ti, Tesla K20, Tesla K40

September 1, 2014 by wahibium

A Framework for Lattice QCD Calculations on GPUs

F. T. Winter, M. A. Clark, R. G. Edwards, B. Joo

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Tags: Algorithms, Code generation, Computational Physics, CUDA, High Energy Physics - Lattice, Mathematical Software, nVidia, Physics, PTX, QCD, Tesla K20

August 27, 2014 by hgpu

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Newsha Ardalani, Karthikeyan Sankaralingam, Xiaojin Zhu

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 660 Ti, OpenCL, Performance, Tesla K20

August 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

Parallel Computation of Non-Bonded Interactions in Drug Discovery: Nvidia GPUs vs. Intel Xeon Phi

Analysis of GPU-based convolution for acoustic wave propagation modeling with finite differences: Fortran to CUDA-C step-by-step

Characterization and Analysis of Dynamic Parallelism in Unstructured GPU Applications

A Validation Testsuite for OpenACC 1.0

Acquisition Method of Spread Spectrum Signals Based on GPU Acceleration

HISQ inverter on Intel Xeon Phi and NVIDIA GPUs

Analysis of KECCAK Tree Hashing on GPU Architectures

A uniform approach for programming distributed heterogeneous computing systems

Performance Portability Study of Linear Algebra Kernels in OpenCL

Scalable Kernel Fusion for Memory-Bound GPU Applications

A Framework for Lattice QCD Calculations on GPUs

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

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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