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Parallel Compact Genetic Algorithm on CUDA-C Platform

Vuppuluri Sumati

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Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Genetic programming, nVidia

December 21, 2013 by hgpu

Evolutionary Algorithm for Optimizing Parameters of GPGPU-based Image Segmentation

Sandor Szenasi, Zoltan Vamossy

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Tags: Algorithms, CUDA, Genetic programming, Image processing, Microscopy, nVidia

August 30, 2013 by hgpu

OCLoptimizer: An Iterative Optimization Tool for OpenCL

Jorge F. Fabeiro, Diego Andrade, Basilio B. Fraguela

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Tags: Computer science, Genetic programming, OpenCL, Optimization

June 10, 2013 by hgpu

Accelerating Genetic Programming Using Graphics Processing Units

Tony Lewis

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 260, Thesis

June 10, 2013 by hgpu

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

Alwyn V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization

June 7, 2013 by hgpu

GPU Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors

Martin Burtscher, Hassan Rabeti

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Tags: Algorithms, CAD, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 680

June 4, 2013 by hgpu

Geometric Optimisation using Karva for Graphical Processing Units

A.V. Husselmann, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Particle swarm optimization

May 31, 2013 by hgpu

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Maciej Kolomycki

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 460

April 22, 2013 by hgpu

Multi-GPU Island-Based Genetic Algorithm

Namrata Mahakalkar, A. R. Mahajan

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Tags: Algorithms, Computer science, CUDA, Genetic programming, GPU cluster, nVidia, nVidia GeForce GTX 580

March 20, 2013 by hgpu

CUDA-enabled Optimisation of Technical Analysis Parameters

John O'Rourke, John Burns

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Tags: CUDA, Finance, Genetic programming, nVidia, nVidia GeForce GT 430, nVidia GeForce GTX 480

November 19, 2012 by hgpu

Parallel Genetic Programming on Graphics Processing Units

Douglas A. Augusto, Heder S. Bernardino, Helio J.C. Barbosa

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Tags: Algorithms, Computer science, Genetic programming, OpenCL, Optimization, Review

October 31, 2012 by hgpu

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

D. Foster

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Tags: Computer science, CUDA, Fault tolerance, Genetic programming, nVidia, nVidia GeForce GTX 480

September 1, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Parallel Compact Genetic Algorithm on CUDA-C Platform

Evolutionary Algorithm for Optimizing Parameters of GPGPU-based Image Segmentation

OCLoptimizer: An Iterative Optimization Tool for OpenCL

Accelerating Genetic Programming Using Graphics Processing Units

Genetic Programming using the Karva Gene Expression Language on Graphical Processing Units

GPU Acceleration of a Genetic Algorithm for the Synthesis of FSM-based Bimodal Predictors

Geometric Optimisation using Karva for Graphical Processing Units

Use NVIDIA CUDA technology to create genetic algorithms with extensive population

Multi-GPU Island-Based Genetic Algorithm

CUDA-enabled Optimisation of Technical Analysis Parameters

Parallel Genetic Programming on Graphics Processing Units

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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