high performance computing on graphics processing units: hgpu.org

Moritz Kreutzer, Jonas Thies, Melven Rohrig-Zollner, Andreas Pieper, Faisal Shahzad, Martin Galgon, Achim Basermann, Holger Fehske, Georg Hager, Gerhard Wellein

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, MPI, nVidia, OpenMP, Package, Sparse matrix, Tesla K20

July 30, 2015 by hgpu

Fast-Coding Robust Motion Estimation Model in a GPU

Carlos Garcia, Guillermo Botella, Francisco de Sande, Manuel Prieto-Matias

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Tags: Image processing, nVidia, OpenACC, OpenMP, Tesla K20

July 27, 2015 by hgpu

Irregular algorithms on the Xeon Phi

Sander Lijbrink

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Tags: Algorithms, Computer science, Intel Xeon Phi, Matrix multiplication, OpenMP, Thesis

July 27, 2015 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

The Dynamical Kernel Scheduler – Part 1

Parallel waveform extraction algorithms for the Cherenkov Telescope Array Real-Time Analysis

A Performance Comparison of Algebraic Multigrid Preconditioners on CPUs, GPUs, and Xeon Phis

Accelerating Multiple Compound Comparison Using LINGO-based Load-Balancing Strategies on Multi-GPUs

Accelerated Deep Learning using Intel Xeon Phi

Accelerating IISPH: A Parallel GPGPU Solution Using CUDA

Exploiting two-level parallelism by aggregating computing resources in task-based applications over accelerator-based machines

Optimized Event-Driven Runtime Systems for Programmability and Performance

Multi-GPU Parallel Computing and Task Scheduling under Virtualization

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

Fast-Coding Robust Motion Estimation Model in a GPU

Irregular algorithms on the Xeon Phi

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

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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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