high performance computing on graphics processing units: hgpu.org

hgpu.org » Membrane computing

The Reduction Problem in CUDA and Its Simulation with P Systems

Rodica Ceterchi, Miguel Angel Martinez-del-Amor, Mario J. Perez-Jimenez

View

Download (PDF)

Tags: Computer science, CUDA, Membrane computing, nVidia

August 5, 2014 by hgpu

Improved Implementation of Simulation for Membrane Computing on the Graphic Processing Unit

Ali Maroosi, Ravie Chandren Muniyandi, Elankovan A. Sundararajan, Abdullah Mohd Zin

View

Download (PDF)

Tags: Computer science, CUDA, Membrane computing, nVidia, nVidia GeForce GTX 480

February 5, 2014 by hgpu

Simulating Active Membrane Systems Using GPUs

Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez, Jose M. Cecilia, Gines D. Guerrero, Jose M. Garcia

View

Download (PDF)

Tags: Computer science, CUDA, Membrane computing, nVidia, Tesla C1060

October 13, 2013 by hgpu

Simulating a Family of Tissue P Systems Solving SAT on the GPU

Miguel A. Martinez-del-Amor, Jesus Perez-Carrasco, Mario J. Perez-Jimenez

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Membrane computing, nVidia, Package, SAT, Tesla C1060

August 5, 2013 by hgpu

Using P System with GPU Model to Design and Implement a Public Key Cryptography

Salah Zaher, Amr Badr, Ibrahim Farag, Tarek AbdElmaged

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 4650, Computer science, Membrane computing, P systems, RSA, Security

January 2, 2013 by hgpu

Improving GPU Simulations of Spiking Neural P Systems

Francis George C. Cabarle, Henry N. Adorna, Miguel A. Martinez-Del-Amor, Mario J. Perez-Jimenez

View

Download (PDF)

Tags: Computer science, CUDA, Linear Algebra, Membrane computing, Neural networks, nVidia, P systems, Tesla C1060

June 25, 2012 by hgpu

On the Simulations of Evolution-Communication P Systems with Energy without Antiport Rules for GPUs

Richelle Ann B. Juayong, Francis George C. Cabarle, Henry N. Adorna, Miguel A. Martinez-del-Amor

View

Download (PDF)

Tags: Computer science, CUDA, Membrane computing, nVidia, P systems

May 25, 2012 by hgpu

A Spiking Neural P system simulator based on CUDA

Francis Cabarle, Henry Adorna, Miguel A. Martinez-del-Amor

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Membrane computing, nVidia, nVidia GeForce 9400 M, Package

March 15, 2012 by hgpu

The GPU on the simulation of cellular computing models

Jose Cecilia, Jose Garcia, Gines Guerrero, Miguel Martinez-del-Amor, Mario Perez-Jimenez, Manuel Ujaldon

Tags: Computer science, Membrane computing, nVidia, P systems, SAT, Tesla S2050

May 10, 2011 by hgpu

Simulating Spiking Neural P systems without delays using GPUs

Francis Cabarle, Henry Adorna, Miguel A. Martinez-del-Amor

View

Download (PDF)

Tags: Computer science, CUDA, Membrane computing, Neural and Evolutionary Computing, nVidia

April 12, 2011 by hgpu

Simulations of Large Membrane Regions using GPU-enabled Computations – Preliminary Results

Narayan Ganesan, Michela Taufer, Sandeep Patel

View

Download (PDF)

Tags: Chemistry, CUDA, Membrane computing, Molecular dynamics, nVidia, Performance

February 17, 2011 by hgpu

Simulating a P system based efficient solution to SAT by using GPUs

Jose M. Cecilia, Jose M. Garcia, Gines D. Guerrero, Miguel A. Martinez-del-Amor, Ignacio Perez-Hurtado, Mario J. Perez-Jimenez

Tags: Computer science, Membrane computing, P systems, SAT

November 20, 2010 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

The Reduction Problem in CUDA and Its Simulation with P Systems

Improved Implementation of Simulation for Membrane Computing on the Graphic Processing Unit

Simulating Active Membrane Systems Using GPUs

Simulating a Family of Tissue P Systems Solving SAT on the GPU

Using P System with GPU Model to Design and Implement a Public Key Cryptography

Improving GPU Simulations of Spiking Neural P Systems

On the Simulations of Evolution-Communication P Systems with Energy without Antiport Rules for GPUs

A Spiking Neural P system simulator based on CUDA

The GPU on the simulation of cellular computing models

Simulating Spiking Neural P systems without delays using GPUs

Simulations of Large Membrane Regions using GPU-enabled Computations – Preliminary Results

Simulating a P system based efficient solution to SAT by using GPUs

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Most viewed papers (last 30 days)