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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

High-Performance Neural Networks for Visual Object Classification

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

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Tags: Artificial intelligence, Computer science, CUDA, Neural and Evolutionary Computing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

February 2, 2011 by hgpu

A data parallel approach to genetic programming using programmable graphics hardware

Darren M. Chitty

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Tags: Algorithms, Artificial intelligence, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6400

January 23, 2011 by hgpu

Deployment of CPU and GPU-based genetic programming on heterogeneous devices

Garnett Wilson, Wolfgang Banzhaf

Tags: Artificial intelligence, Computer science, Genetic programming, Xbox 360

January 23, 2011 by hgpu

Improving SMT performance: an application of genetic algorithms to configure resizable caches

Josefa Diaz, J. Ignacio Hidalgo, Francisco Fernandez, Oscar Garnica, Sonia Lopez

Tags: Artificial intelligence, Computer science, Genetic programming

January 22, 2011 by hgpu

Evolving a CUDA kernel from an nVidia template

William B. Langdon, Mark Harman

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Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295

January 21, 2011 by hgpu

Parallelization Strategies for Ant Colony Optimisation on GPUs

Jose M. Cecilia, Jose M. Garcia, Manuel Ujaldon, Andy Nisbet, Martyn Amos

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Tesla C1060, Tesla M2050

January 17, 2011 by hgpu

An Architecture for Distributed Behavioral Models with GPUs

Rosario De Chiara, Ugo Erra, Vittorio Scarano

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce 6800 GT

January 15, 2011 by hgpu

ClearPath: highly parallel collision avoidance for multi-agent simulation

Stephen J. Guy, Jatin Chhugani, Changkyu Kim, Nadathur Satish, Ming Lin, Dinesh Manocha, Pradeep Dubey

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Tags: Artificial intelligence, Computer science, Larrabee, Optimization

January 8, 2011 by hgpu

Parallel evolutionary algorithms on graphics processing unit

Man-Leung Wong, Tien-Tsin Wong, Ka-Ling Fok

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce 6800 Ultra, Optimization, Shaders

January 5, 2011 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

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

High-Performance Neural Networks for Visual Object Classification

A data parallel approach to genetic programming using programmable graphics hardware

Deployment of CPU and GPU-based genetic programming on heterogeneous devices

Improving SMT performance: an application of genetic algorithms to configure resizable caches

Evolving a CUDA kernel from an nVidia template

Parallelization Strategies for Ant Colony Optimisation on GPUs

An Architecture for Distributed Behavioral Models with GPUs

ClearPath: highly parallel collision avoidance for multi-agent simulation

Parallel evolutionary algorithms on graphics processing unit

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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