high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenMP

Using the pyMIC Offload Module in PyFR

Michael Klemm, Freddie Witherden, Peter Vincent

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Fluid dynamics, Intel Xeon Phi, Navier-Stokes equations, NSEs, OpenCL, OpenMP, Package, Python

July 8, 2016 by hgpu

GPRM: a high performance programming framework for manycore processors

Ashkan Tousimojarad

View

Download (PDF)

Source codes

Tags: Computer science, Intel Xeon Phi, OpenMP, Package, Thesis

June 30, 2016 by hgpu

Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond

Erik Zenker, Rene Widera, Axel Hubl, Guido Juckeland, Andreas Knupfer, Wolfgang E. Nagel, Michael Bussmann

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenMP, Package, Particle-in-cell methods, Physics, Plasma physics, Programming techniques, Tesla K80

June 14, 2016 by hgpu

OpenMP Parallelization and Optimization of Graph-based Machine Learning Algorithms

Zhaoyi Meng, Alice Koniges, Yun (Helen) He, Samuel Williams, Thorsten Kurth, Brandon Cook, Jack Deslippe, Andrea L. Bertozzi

View

Download (PDF)

Tags: Clustering, Computer science, Intel Xeon Phi, Machine learning, OpenMP

June 9, 2016 by hgpu

An OpenMP Programming Environment on Mobile Devices

Tyng-Yeu Liang, Hung-Fu Li, Yu-Chih Chen

View

Download (PDF)

Tags: Computer science, Heterogeneous systems, LLVM, OpenCL, OpenMP

May 28, 2016 by hgpu

Parallel Pairwise Correlation Computation On Intel Xeon Phi Clusters

Yongchao Liu, Tony Pan, Srinivas Aluru

View

Download (PDF)

Tags: Algorithms, Bioinformatics, Computer science, Intel Xeon Phi, OpenMP

May 7, 2016 by hgpu

Investigating performance portability of a highly scalable particle-in-cell simulation code on various multi-core architectures

Benjamin Worpitz

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Intel Xeon Phi, OpenMP, Package, Particle-in-cell methods, Performance, performance portability, Tesla K20, Tesla K80, Thesis

April 26, 2016 by hgpu

A mixed precision semi-Lagrangian algorithm and its performance on accelerators

Lukas Einkemmer

View

Download (PDF)

Tags: Computational Physics, Computer science, CUDA, Intel Xeon Phi, Mathematical Software, Mixed precision, nVidia, OpenMP, Tesla K80

March 25, 2016 by hgpu

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs

Wei Tan, Liangliang Cao, Liana Fong

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Data parallelism, Factorization, nVidia, nVidia GeForce GTX Titan X, OpenMP, Tesla K80

March 15, 2016 by hgpu

Testing fine-grained parallelism for the ADMM on a factor-graph

Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, Jose Bento

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Mathematical Software, nVidia, OpenMP, Package, Tesla K40

March 10, 2016 by hgpu

Alpaka – An Abstraction Library for Parallel Kernel Acceleration

Erik Zenker, Benjamin Worpitz, Rene Widera, Axel Huebl, Guido Juckeland, Andreas Knupfer, Wolfgang E. Nagel, Michael Bussmann

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Mathematical Software, nVidia, OpenMP, Package, performance portability, Portability, Tesla K20, Tesla K80

March 1, 2016 by hgpu

Optimization of Molecular Dynamics Simulation Code and Applications to Biomolecular Systems

David M. Bowman

View

Download (PDF)

Tags: Biochemistry, Biomolecules, Chemistry, CUDA, Molecular dynamics, MPI, nVidia, OpenCL, OpenMP, Thesis

March 1, 2016 by hgpu

ViVid Project

Exploring data flow design and vectorization with oneAPI for streaming applications on CPU+GPU

VFLog: vertical + gpu + free join + datalog

Column-Oriented Datalog on the GPU

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Using the pyMIC Offload Module in PyFR

GPRM: a high performance programming framework for manycore processors

Performance-Portable Many-Core Plasma Simulations: Porting PIConGPU to OpenPower and Beyond

OpenMP Parallelization and Optimization of Graph-based Machine Learning Algorithms

An OpenMP Programming Environment on Mobile Devices

Parallel Pairwise Correlation Computation On Intel Xeon Phi Clusters

Investigating performance portability of a highly scalable particle-in-cell simulation code on various multi-core architectures

A mixed precision semi-Lagrangian algorithm and its performance on accelerators

Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs

Testing fine-grained parallelism for the ADMM on a factor-graph

Alpaka – An Abstraction Library for Parallel Kernel Acceleration

Optimization of Molecular Dynamics Simulation Code and Applications to Biomolecular Systems

Recent source codes

ViVid Project

VFLog: vertical + gpu + free join + datalog

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Most viewed papers (last 30 days)