high performance computing on graphics processing units: hgpu.org

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Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs

Wangdong Yang, Kenli Li, Zeyao Mo, Keqin Li

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460, Performance, Probability, Sparse matrix

November 3, 2014 by hgpu

GPGPU Acceleration for Skeletal Animation-comparing OpenCL with CUDA and GLSL

Shousheng Liu, Ge Chen, Chunyong Ma, Yong Han

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Tags: ATI, ATI Radeon HD 7750, Computer science, CUDA, GLSL, nVidia, nVidia GeForce GTS 250, nVidia GeForce GTX 670, OpenCL, OpenGL, Performance, Rendering

October 25, 2014 by hgpu

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Lujan, Michael F. P. O'Boyle, Graham Riley, Nigel Topham, Steve Furber

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Tags: Algorithms, ARM, Benchmarking, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan, OpenCL, Performance

October 10, 2014 by hgpu

Microarchitectural Performance Characterization of Irregular GPU Kernels

Molly A. O'Neil, Martin Burtscher

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance

October 3, 2014 by hgpu

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Lidia Kuan, Joao Neves, Frederico Pratas, Pedro Tomas, Leonel Sousa

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenACC, Performance, Tesla K20

September 28, 2014 by hgpu

Automated Software Testing of Memory Performance in Embedded GPUs

Sudipta Chattopadhyay, Petru Eles, Zebo Peng

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Tags: Computer science, CUDA, Embedded high-performance computing, GPGPU-sim, Memory, nVidia, Performance

September 19, 2014 by hgpu

Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi

Ali Mirsoleimani, Aske Plaat, Jos Vermaseren, Jaap van den Herik

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Tags: Artificial intelligence, Benchmarking, Computer science, Intel Xeon Phi, Performance

September 16, 2014 by hgpu

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

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

Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Bandwidth Requirements of GPU Architectures

Benjamin C. Johnstone

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Thesis

August 26, 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

Performance Optimization Using Partitioned SpMV on GPUs and Multicore CPUs

GPGPU Acceleration for Skeletal Animation-comparing OpenCL with CUDA and GLSL

Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM

Microarchitectural Performance Characterization of Irregular GPU Kernels

Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison

Automated Software Testing of Memory Performance in Embedded GPUs

Performance analysis of a 240 thread tournament level MCTS Go program on the Intel Xeon Phi

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

Performance Portability Study of Linear Algebra Kernels in OpenCL

Optimistic Parallelism on GPUs

Bandwidth Requirements of GPU Architectures

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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