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Study of basic vector operations on Intel Xeon Phi and NVIDIA Tesla using OpenCL

Edoardo Coronado, Guillermo Indalecio, Antonio Garcia-Loureiro

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Tags: Computer science, Intel Xeon Phi, Linear Algebra, nVidia, OpenCL, Performance, Tesla S2050

December 31, 2015 by hgpu

Implementation and performance analysis of the AXPY, DOT, and SpMV functions on Intel Xeon Phi and NVIDIA Tesla using OpenCL

E. Coronado-Barrientos, G. Indalecio, A. Garcia-Loureiro

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Tags: Computer science, Intel Xeon Phi, Linear Algebra, nVidia, OpenCL, Sparse matrix, Tesla S2050

April 27, 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

Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives

Jose M. Andion, Manuel Arenaz, Francois Bodin, Gabriel Rodriguez, Juan Tourino

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Tags: Computer science, CUDA, Heterogeneous systems, Matrix multiplication, nVidia, Tesla S1070, Tesla S2050

December 14, 2014 by hgpu

GPU Declarative Framework

Robert W. Senser, Jr.

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Tags: AMD Radeon R9 270, ATI, Code generation, Computer science, Filtering, Image processing, Matrix inversion, nVidia, OpenCL, Sorting, Tesla S2050, Tesla T20, Thesis

December 1, 2014 by hgpu

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Ziming Zhong

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix multiplication, Numerical simulation, nVidia, Tesla S2050, Thesis

August 27, 2014 by hgpu

Computational Simulation of Freely Falling Water Droplets on Graphics Processing Units

Jeremy Appleyard

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Tags: CUDA, Fluid dynamics, nVidia, Tesla C1060, Tesla S2050, Thesis

July 15, 2014 by hgpu

Improving Performance and Energy Consumption of Runtime Schedulers for Dense Linear Algebra

Pedro Alonso, Manuel F. Dolz, Francisco D. Igual, Rafael Mayo, Enrique S. Quintana-Orti

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Task scheduling, Tesla S1070, Tesla S2050

July 10, 2014 by hgpu

Parallelization of the Symmetric Indefinite Factorization

Anastasia Kruchinina

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, Nonlinear optimization, nVidia, Tesla S2050, Thesis

July 7, 2014 by hgpu

3D data denoising via Non-Local means filter by using parallel GPU strategies

Salvatore Cuomo, Pasquale De Michele, Francesco Piccialli

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Tags: Algorithms, CUDA, Filtering, Image processing, Magnetic resonance imaging, MRI, nVidia, Tesla S2050

May 7, 2014 by hgpu

Locality optimization on a NUMA architecture for hybrid LU factorization

Adrien Remy, Marc Baboulin, Masha Sosonkina, Brigitte Rozoy

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla S2050

March 12, 2014 by hgpu

Strategies for Maximizing Utilization in multi-CPU & multi-GPU Heterogeneous Architectures

Angeles Navarro, Antonio Vilches, Francisco Corbera, Rafael Asenjo

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, Performance, Tesla S2050

February 4, 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

Study of basic vector operations on Intel Xeon Phi and NVIDIA Tesla using OpenCL

Implementation and performance analysis of the AXPY, DOT, and SpMV functions on Intel Xeon Phi and NVIDIA Tesla using OpenCL

A High Performance Framework for Coupled Urban Microclimate Models

Locality-Aware Automatic Parallelization for GPGPU with OpenHMPP Directives

GPU Declarative Framework

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Computational Simulation of Freely Falling Water Droplets on Graphics Processing Units

Improving Performance and Energy Consumption of Runtime Schedulers for Dense Linear Algebra

Parallelization of the Symmetric Indefinite Factorization

3D data denoising via Non-Local means filter by using parallel GPU strategies

Locality optimization on a NUMA architecture for hybrid LU factorization

Strategies for Maximizing Utilization in multi-CPU & multi-GPU Heterogeneous Architectures

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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