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One weird trick for parallelizing convolutional neural networks

Alex Krizhevsky

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Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, Tesla K20

April 25, 2014 by hgpu

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Donald Lloyd van Blommestein

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9600 GT, OpenCV, Thesis

April 24, 2014 by hgpu

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Sergio Orts-Escolano, Jose Garcia-Rodriguez, Vicente Morell, Miguel Cazorla, Jorge Azorin, Juan Manuel Garcia-Chamizo

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce GTX 480

April 24, 2014 by hgpu

Discrete Planning Unit Look-ahead Velocity Control Strategy and Parallelization Research based on GPU

Yunan Cao, Peiqing Ye, Qinjian Zhang, Jianyong Li

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Tags: CAD, Computer science, CUDA, nVidia

April 24, 2014 by hgpu

A GPU Framework for Sparse Matrix Vector Multiplication

B. Neelima, G. Ram Mohana Reddy, Prakash S. Raghavendra

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Sparse matrix

April 24, 2014 by hgpu

Faster Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Security

April 22, 2014 by hgpu

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Michael Gowanlock, Henri Casanova, David Schanzenbach

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Tags: Computer science, Databases, nVidia, OpenCL, Tesla C2075

April 22, 2014 by hgpu

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Franz G. Fuchs, Jon M. Hjelmervik, Erik C. Dyken, Erik W. Bjonnes

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Tags: Algorithms, Computer science, Differential equations, nVidia, nVidia GeForce GTX 680, ODEs, OpenGL, Ordinary differential equations, Rendering, Visualization

April 22, 2014 by hgpu

Measuring the evolving Internet ecosystem with exchange points

Mohammad Zubair Ahmad

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Tags: Computer science, CUDA, Machine learning, Networks, nVidia, nVidia GeForce 9400, nVidia GeForce GTX 260 M, Thesis

April 22, 2014 by hgpu

GPU Encrypt: AES Encryption on Mobile Devices

James Gleeson, Sreekumar Rajan, Vandana Saini

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Tags: AES, Computer science, OpenCL, Security

April 21, 2014 by hgpu

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

Khari A. Armih

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MapReduce, Matrix multiplication, nVidia, nVidia GeForce GT 520, Thesis

April 21, 2014 by hgpu

SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors

Yongchao Liu, Bertil Schmidt

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Tags: Computer science, Intel Xeon Phi, Package, Smith-Waterman algorithm

April 21, 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

Applications

One weird trick for parallelizing convolutional neural networks

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Discrete Planning Unit Look-ahead Velocity Control Strategy and Parallelization Research based on GPU

A GPU Framework for Sparse Matrix Vector Multiplication

Faster Maliciously Secure Two-Party Computation Using the GPU

Parallel In-Memory Distance Threshold Queries on Trajectory Databases

Interactive Isogeometric Volume Visualization with Pixel-Accurate Geometry

Measuring the evolving Internet ecosystem with exchange points

GPU Encrypt: AES Encryption on Mobile Devices

Toward optimised skeletons for heterogeneous parallel architecture with performance cost model

SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors

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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