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Implementing the Himeno benchmark with CUDA on GPU clusters

Everett H. Phillips, Massimiliano Fatica

Tags: Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Performance, Tesla C1060

March 16, 2011 by hgpu

GPU based acceleration of first principles calculation

H. Tomono, M. Aoki, T. Iitaka, K. Tsumuraya

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Tags: Chemistry, CUDA, FFT, Molecular modeling, nVidia, nVidia GeForce GTX 285

March 16, 2011 by hgpu

Patterns of Inefficient Performance Behavior in GPU Applications

Dominic Eschweiler, Daniel Becker, Felix Wolf

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla T10

March 16, 2011 by hgpu

Efficient Canny Edge Detection Using a GPU

Kohei Ogawa, Yasuaki Ito, Koji Nakano

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Tags: Computer vision, CUDA, Image processing, nVidia

March 15, 2011 by hgpu

Dense point trajectories by GPU-accelerated large displacement optical flow

Narayanan Sundaram, Thomas Brox, Kurt Keutzer

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, Optical flow

March 15, 2011 by hgpu

Accelerating Nearest Neighbor Search on Manycore Systems

Lawrence Cayton

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Tags: Computer science, CUDA, Data Structures and Algorithms, Databases, Information Retrieval, Nearest neighbour, nVidia, Tesla C2050

March 15, 2011 by hgpu

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan

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Tags: Computer science, CUDA, Databases, nVidia, Sparse matrix, Tesla C1060

March 15, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles

Berkin Bilgic

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, Thesis

March 14, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 14, 2011 by hgpu

Efficient Integral Image Computation on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

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Tags: Computer vision, CUDA, Image processing, Image recognition, nVidia

March 14, 2011 by hgpu

High-dimensional Planning on the GPU

Mark Henderson, Joseph T. Kider Jr., Maxim Likhachev, Alla Safonova

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Path problems, Tesla C870

March 14, 2011 by hgpu

A fast GPU algorithm for graph connectivity

Jyothish Soman, Kothapalli Kishore, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060

March 14, 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

Programming

Implementing the Himeno benchmark with CUDA on GPU clusters

GPU based acceleration of first principles calculation

Patterns of Inefficient Performance Behavior in GPU Applications

Efficient Canny Edge Detection Using a GPU

Dense point trajectories by GPU-accelerated large displacement optical flow

Accelerating Nearest Neighbor Search on Manycore Systems

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Fast Human Detection with Cascaded Ensembles

Fast Human Detection with Cascaded Ensembles on the GPU

Efficient Integral Image Computation on the GPU

High-dimensional Planning on the GPU

A fast GPU algorithm for graph connectivity

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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