high performance computing on graphics processing units: hgpu.org

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Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Optimization, Performance, Tesla C2070

April 28, 2012 by hgpu

A GPU Memory System Comparison for an Elliptic Test Problem

Yu Wang, Marc Olano, Matthias K. Gobbert, Wesley Griffin

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Tags: Algorithms, Computer science, CUDA, Laplace and Poisson equation, Memory model, nVidia, Poisson equation, Tesla C2070

April 13, 2012 by hgpu

A Highly Parallel Reuse Distance Analysis Algorithm on GPUs

Huimin Cui, Qing Yi, Jingling Xue, Lei Wang, Yang Yang, Xiaobing Feng

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, Tesla C2050

March 30, 2012 by hgpu

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Jiri Barnat, Petr Bauch, Lubos Brim, and Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, Probabilistic model checking

January 24, 2012 by hgpu

Dynamically Managed Data for CPU-GPU Architectures

Thomas B. Jablin, James A. Jablin, Prakash Prabhu, Feng Liu, David I. August

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Tags: Computer science, CUDA, Data Structures and Algorithms, Memory model, nVidia, nVidia GeForce GTX 480, Performance

January 19, 2012 by hgpu

Customizable Memory Schemes for Data Parallel Accelerators

Chunyang Gou

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, Performance, Programming techniques, Thesis

December 17, 2011 by hgpu

Affine Vector Cache for memory bandwidth savings

Sylvain Collange, Alexandre Kouyoumdjian

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Tags: Benchmarking, Computer science, CUDA, Memory model, nVidia, Tesla

December 16, 2011 by hgpu

Graph Generation on GPUs using Dynamic Memory Allocation

A. Leist, K.A. Hawick

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Graph theory, Memory model, nVidia, nVidia GeForce GTX 580, Performance

December 14, 2011 by hgpu

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Duhu Man, Kenji Uda, Hironobu Ueyama, Yasuaki Ito, Koji Nakano

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Tags: Algorithms, CUDA, Image processing, Memory model, nVidia, nVidia GeForce GTX 480, Tesla C1060

December 3, 2011 by hgpu

Safe Asynchronous Multicore Memory Operations

Matko Botincan, Mike Dodds, Alastair F. Donaldson, Matthew J. Parkinson

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Tags: Computer science, Memory model, Programming techniques

November 12, 2011 by hgpu

Performance and scalability of Fourier domain optical coherence tomography acceleration using graphics processing units

Jian Li, Pavel Bloch, Jing Xu, Marinko V. Sarunic, Lesley Shannon

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Tags: CUDA, Data acquisition, Medicine, Memory model, nVidia, nVidia GeForce GTX 295, Optics, Tomography

November 6, 2011 by hgpu

The Model of Computation of CUDA and its Formal Semantics

Axel Habermaier

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, PTX, Thesis

October 25, 2011 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

Characterizing and Improving the Use of Demand-Fetched Caches in GPUs

A GPU Memory System Comparison for an Elliptic Test Problem

A Highly Parallel Reuse Distance Analysis Algorithm on GPUs

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Dynamically Managed Data for CPU-GPU Architectures

Customizable Memory Schemes for Data Parallel Accelerators

Affine Vector Cache for memory bandwidth savings

Graph Generation on GPUs using Dynamic Memory Allocation

Implementations of a Parallel Algorithm for Computing Euclidean Distance Map in Multicore Processors and GPUs

Safe Asynchronous Multicore Memory Operations

Performance and scalability of Fourier domain optical coherence tomography acceleration using graphics processing units

The Model of Computation of CUDA and its Formal Semantics

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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