high performance computing on graphics processing units: hgpu.org

hgpu.org » Artificial intelligence

GPU powered artificial immune system for visual applications

K. Lackner, G. Cserey

Tags: Algorithms, Artificial intelligence, Image processing, Performance

May 16, 2011 by hgpu

A parallel Ant Colony Optimization algorithm with GPU-acceleration based on All-In-Roulette selection

Jie Fu, Lin Lei, Guohua Zhou

Tags: Algorithms, Artificial intelligence, Computer science

May 15, 2011 by hgpu

A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor

Jinwook Oh, Junyoung Park, Gyeonghoon Kim, Seungjin Lee, Hoi-Jun Yoo

Tags: Artificial intelligence, ASIC, Computer science, Energy-efficient computing, Neural networks

May 4, 2011 by hgpu

Enhancing Ubiquitous Systems through System Call Mining

Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel

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Tags: Artificial intelligence, Computer science, CUDA, Data mining, nVidia

April 17, 2011 by hgpu

GpuWars: Design and Implementation of a GPGPU Game

Mark Joselli, Esteban Clua

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, Games, nVidia, nVidia GeForce 8200 M, nVidia GeForce 8800 GS

April 5, 2011 by hgpu

GPU-Enabled AI

Mark Ingebretsen

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Tags: Artificial intelligence, Computer science, nVidia, OpenCL, Rendering

April 2, 2011 by hgpu

Scalable Multi Agent Simulation on the GPU

Avi Bleiweiss

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Presentation

March 19, 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

Multi Agent Navigation on the GPU

Avi Bleiweiss

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Tags: Artificial intelligence, Computer science, CUDA, Games, Hashing, nVidia, nVidia GeForce GTX 280, Search strategies

March 11, 2011 by hgpu

Final Project Implementing Extremely Randomized Trees in CUDA

Michael A. Geary, HyoukJoong Lee, Davide Signorelli, Jordan Vaughan

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, OpenMP, Tesla C1060

February 20, 2011 by hgpu

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia, nVidia GeForce GTX 280

February 9, 2011 by hgpu

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Dan C. Ciresan, Ueli Meier, Luca M. Gambardella, Jurgen Schmidhuber

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Tags: Artificial intelligence, CUDA, Image processing, Image recognition, Neural and Evolutionary Computing, Neural networks, nVidia

February 9, 2011 by hgpu

BUDDY MLIR

Compiler Technologies in Deep Learning Co-Design: A Survey

pocl: Portable Computing Language (IWOCL23 release)

Implementation Techniques for SPMD Kernels on CPUs

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Descend: an attempt at safe imperative GPU programming

Descend: A Safe GPU Systems Programming Language

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU powered artificial immune system for visual applications

A parallel Ant Colony Optimization algorithm with GPU-acceleration based on All-In-Roulette selection

A 57mW embedded mixed-mode neuro-fuzzy accelerator for intelligent multi-core processor

Enhancing Ubiquitous Systems through System Call Mining

GpuWars: Design and Implementation of a GPGPU Game

GPU-Enabled AI

Scalable Multi Agent Simulation on the GPU

High-dimensional Planning on the GPU

Multi Agent Navigation on the GPU

Final Project Implementing Extremely Randomized Trees in CUDA

Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

Recent source codes

BUDDY MLIR

pocl: Portable Computing Language (IWOCL23 release)

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

AutoDock for GPUs and other accelerators

spotPython: Sequential Parameter Optimization in Python

Test benchmarks for CELERITY

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

Descend: an attempt at safe imperative GPU programming

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