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CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

Michele Guidolin, Andrew Duncan, Bidur Ghimire, Mike Gibson, Edward Keedwell, Albert S. Chen, Slobodan Djordjevic, Dragan Savic

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Tags: Algorithms, Cellular automata, Computer science, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 550 Ti, OpenCL

October 2, 2012 by hgpu

GPU Acceleration of Many Independent Mid-Sized Simulations on Graphs

Dustin Arendt

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Tags: Cellular automata, Computer science, Graph theory, nVidia, nVidia GeForce 9400 M, OpenCL, Path problems

August 31, 2012 by hgpu

Accelerating cellular automata simulations using AVX and CUDA

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Cellular automata, Computational Physics, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, Tesla M2075

August 14, 2012 by hgpu

C to Cellular Automata and Execution on CPU, GPU and FPGA

Jens Drieseberg, Christian Siemers

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Tags: Cellular automata, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, OpenMP

August 2, 2012 by hgpu

GPU-based cellular automata simulations of laser dynamics

M.R. Lopez-Torres, J.L. Guisado, F. Jimenez-Morales, F. Diaz-del-Rio

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Tags: Algorithms, Cellular automata, CUDA, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Physics

July 23, 2012 by hgpu

In Search of Self-Organization

Dustin Lockhart Arendt

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Tags: Cellular automata, Computer science, nVidia, nVidia GeForce 9600 GT, OpenCL, Thesis

July 18, 2012 by hgpu

GPU Computing Gems: Jade Edition

Wen-mei W. Hwu

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Tags: Algorithms, Book, Cellular automata, Computational finance, Computer science, Computer vision, CUDA, Finance, Fluid dynamics, Games, GPU cluster, nVidia

October 14, 2011 by hgpu

Experiments with Single Core, Multi-core, and GPU Based Computation of Cellular Automata

Stefan Rybacki, Jan Himmelspach, Adelinde M. Uhrmacher

Tags: Algorithms, Cellular automata, Computer science

May 8, 2011 by hgpu

A Neighborhood Grid Data Structure for Massive 3D Crowd Simulation on GPU

Mark Joselli, Erick Baptista Passos, Marcelo Zamith, Esteban Walter Gonzalez Clua, Anselmo Montenegro, Bruno Feijo

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Tags: Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

April 7, 2011 by hgpu

GPU Accelerators for Evolvable Cellular Automata

Ludek Zaloudek, Lukas Sekanina, Vaclav Simek

Tags: Cellular automata, Computer science, CUDA, Genetic programming, nVidia

March 23, 2011 by hgpu

Implementation of algorithms with a fine-grained parallelism on GPUs

K. Kalgin

Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, Programming techniques

March 17, 2011 by hgpu

Data-Parallelism and GPUs for Lattice Gas Fluid Simulations

M.G.B. Johnson, D.P. Playne and K.A. Hawick

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Tags: Cellular automata, Computer science, CUDA, Fluid simulation, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 210, nVidia GeForce GTX 260, nVidia GeForce GTX 295

February 13, 2011 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

CADDIES: A New Framework for Rapid Development of Parallel Cellular Automata Algorithms for Flood Simulation

GPU Acceleration of Many Independent Mid-Sized Simulations on Graphs

Accelerating cellular automata simulations using AVX and CUDA

C to Cellular Automata and Execution on CPU, GPU and FPGA

GPU-based cellular automata simulations of laser dynamics

In Search of Self-Organization

GPU Computing Gems: Jade Edition

Experiments with Single Core, Multi-core, and GPU Based Computation of Cellular Automata

A Neighborhood Grid Data Structure for Massive 3D Crowd Simulation on GPU

GPU Accelerators for Evolvable Cellular Automata

Implementation of algorithms with a fine-grained parallelism on GPUs

Data-Parallelism and GPUs for Lattice Gas Fluid Simulations

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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