high performance computing on graphics processing units: hgpu.org

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Multi-walk Parallel Pattern Search Approach on a GPU Computing Platform

Weihang Zhu and James Curry

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 2011 by hgpu

High performance genetic programming on GPU

Denis Robilliard, Virginie Marion, Cyril Fonlupt

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

January 23, 2011 by hgpu

An Improved Magma Gemm For Fermi Graphics Processing Units

Rajib Nath, Stanimire Tomov, Jack Dongarra

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Tags: BLAS, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Package, Tesla C2050

January 23, 2011 by hgpu

Implementing molecular dynamics on hybrid high performance computers – short range forces

W. Michael Brown, Peng Wang, Steven J. Plimpton, Arnold N. Tharrington

Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, nVidia, Physics

January 22, 2011 by hgpu

Swan: A tool for porting CUDA programs to OpenCL

M. J. Harvey, G. De Fabritiis

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Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Package, Tesla C1060

January 22, 2011 by hgpu

Evolving Soft Robotic Locomotion in PhysX

John Rieffel, Frank Saunders, Shilpa Nadimpalli, Harvey Zhou, Soha Hassoun, Jason Rife, Barry Trimmer

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 9800 GT

January 22, 2011 by hgpu

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Tony E. Lewis, George D. Magoulas

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8800 GT, Programming techniques

January 22, 2011 by hgpu

Distributed genetic programming on GPUs using CUDA

Simon Harding, Wolfgang Banzhaf

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce 8200, Programming techniques, Tutorial

January 22, 2011 by hgpu

Parallel genetic algorithm on the CUDA architecture

Petr Pospichal, Jiri Jaros and Josef Schwarz

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Tags: Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 285

January 22, 2011 by hgpu

Parallel Genetic Algorithm Solving 0/1 Knapsack Problem Running on the GPU

Petr Pospichal, Josef Schwarz and Jiri Jaros

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

January 22, 2011 by hgpu

EASEA parallelization of tree-based Genetic Programming

Ogier Maitre, S. Querry, Nicolas Lachiche and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package

January 22, 2011 by hgpu

Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Frederic Kruger, Ogier Maitre, Santiago Jimenez, Laurent Baumes and Pierre Collet

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 295, Package, Poster

January 21, 2011 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Multi-walk Parallel Pattern Search Approach on a GPU Computing Platform

High performance genetic programming on GPU

An Improved Magma Gemm For Fermi Graphics Processing Units

Implementing molecular dynamics on hybrid high performance computers – short range forces

Swan: A tool for porting CUDA programs to OpenCL

Evolving Soft Robotic Locomotion in PhysX

Strategies to minimise the total run time of cyclic graph based genetic programming with GPUs

Distributed genetic programming on GPUs using CUDA

Parallel genetic algorithm on the CUDA architecture

Parallel Genetic Algorithm Solving 0/1 Knapsack Problem Running on the GPU

EASEA parallelization of tree-based Genetic Programming

Speedups between x70 and x120 for a generic local search (memetic) algorithm on a single GPGPU chip

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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