high performance computing on graphics processing units: hgpu.org

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Performance analysis of parallel gravitational N-body codes on large GPU cluster

Siyi Huang, Rainer Spurzem, Peter Berczik

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Tags: Astrophysics, CUDA, GPU cluster, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, Performance, Tesla M2050, Tesla M2070

August 12, 2015 by hgpu

Many-Core Compiler Fuzzing

Christopher Lidbury, Andrei Lascu, Nathan Chong, Alastair F. Donaldson

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Tags: ATI, ATI Radeon HD 6570, ATI Radeon HD 7970, Compilers, Computer science, FPGA, Intel HD 4600, Intel Xeon Phi, nVidia, nVidia GeForce GTX 770, nVidia GeForce GTX Titan, OpenCL, Tesla K40, Tesla M2050

July 10, 2015 by hgpu

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

Albert Saa-Garriga, David Castells-Rufas, Jordi Carrabina

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Tesla M2050

May 5, 2015 by hgpu

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Lukas Gillsjo

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Tags: Algorithms, ATI, ATI Radeon R9 280X, Computer science, Filtering, Image processing, nVidia, OpenCL, RSA, Security, Tesla M2050, Thesis

April 4, 2015 by hgpu

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

Yasuhiro Nakahara, Teruyoshi Washizawa

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Tags: Computer science, nVidia, OpenCL, Particle simulation, Tesla M2050

March 14, 2015 by hgpu

Large-Scale Deep Learning on the YFCC100M Dataset

Karl Ni, Roger Pearce, Kofi Boakye, Brian Van Essen, Damian Borth, Barry Chen, Eric Wang

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Tags: Computer science, Computer vision, CUDA, Deep learning, Machine learning, Neural networks, nVidia, Tesla M2050

February 13, 2015 by hgpu

Extending OmpSs to support CUDA and OpenCL in C, C++ and Fortran Applications

Florentino Sainz, Sergi Mateo, Vicenc Beltran, Jose L. Bosque, Xavier Martorell, Eduard Ayguade

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Tags: Computer science, CUDA, Fortran, nVidia, OpenCL, Tesla M2050

December 30, 2014 by hgpu

Scalable Verification Techniques for Data-Parallel Programs

Nathan Yong Seng Chong

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Source codes

Tags: ARM, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, OpenCL, Package, Tesla M2050, Thesis

November 25, 2014 by hgpu

A Fast Poisson Solver with Periodic Boundary Conditions for GPU Clusters in Various Configurations

Dale Nicholas Rattermann

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Tags: CUDA, FFT, Fluid dynamics, GPU cluster, Laplace and Poisson equation, nVidia, Poisson equation, Tesla M2050, Tesla M2070, Thesis

November 3, 2014 by hgpu

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

Michelle Perry

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Tags: Bayesian, CUDA, High Energy Physics - Phenomenology, Neural networks, nVidia, nVidia GeForce GT 320 M, Physics, Tesla M2050

October 27, 2014 by hgpu

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Saad Quader

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Data Structures and Algorithms, nVidia, Tesla M2050

September 30, 2014 by hgpu

Scalability Analysis of Parallel Algorithms on GPU Clusters

Fengshun Lu, Yufei Pang, Fukang Yin

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Tags: Algorithms, Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Tesla M2050

September 25, 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

Performance analysis of parallel gravitational N-body codes on large GPU cluster

Many-Core Compiler Fuzzing

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Accelerating DEM simulations on GPUs by reducing the impact of warp divergences

Large-Scale Deep Learning on the YFCC100M Dataset

Extending OmpSs to support CUDA and OpenCL in C, C++ and Fortran Applications

Scalable Verification Techniques for Data-Parallel Programs

A Fast Poisson Solver with Periodic Boundary Conditions for GPU Clusters in Various Configurations

Bayesian Neural Networks in Data-Intensive High Energy Physics Applications

A (Somewhat Dated) Comparative Study of Betweenness Centrality Algorithms on GPU

Scalability Analysis of Parallel Algorithms on GPU Clusters

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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