Code for "Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers"

Parallel Simulation of Pulse Coded Neural Networks

K. Mohraz
U. Schott
M. Pauly

January 1997

The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...

Place and Route Algorithms for a Neuromorphic Communication Network Simulator

Pettersson, Fredrik

January 2021

In recent years, neural networks have seen increased interest from both the cognitive computing and ...

The Back Propagation Model for neural network

M. Turega

January 1990

The Back Propagation Model for neural network simulation is a very simple and very popular model for...

Code for "Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers"

Pronold, Jari
Jordan, Jakob
Wylie, Brian
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

July 2021

This repository contains the source code data files to run the benchmarks plotting routines ...

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Pronold, J.
Jordan, J.
Wylie, B. J. N.
Kitayama, Itaru
Diesmann, M.
Kunkel, Susanne

January 2022

Simulation is a third pillar next to experiment and theory in the study of complex dynamic systems s...

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Pronold, Jari
Jordan, Jakob
Wylie, Brian J. N.
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

March 2022

Simulation is a third pillar next to experiment and theory in the study of complex dynamic systems s...

Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring

Pronold, Jari
Jordan, Jakob
Wylie, Brian J. N.
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

January 2022

Generic simulation code for spiking neuronal networks spends the major part of the time in the phase...

Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring.

Pronold, Jari
Jordan, Jakob
Wylie, Brian J N
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

January 2022

Generic simulation code for spiking neuronal networks spends the major part of the time in the phase...

Symbolic processing in neural networks

Neto, João Pedro
Siegelmann, Hava T.
Costa, J.Félix

April 2003

In this paper we show that programming languages can be translated into recurrent (analog, rational ...

Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms

URGESE, GIANVITO
BARCHI, FRANCESCO
MACII, Enrico
ACQUAVIVA, ANDREA

January 2016

In this paper we present a new Partitioning and Placement methodology able to maps Spiking Neural Ne...

Energy Efficient Neuromorphic Computing with Oscillatory Neural Networks

Todri-Sanial, Aida

December 2021

International audienceCurrent classical computers are playing a critical role in advanced research s...

Analytic performance modeling and analysis of detailed neuron simulations

Cremonesi, Francesco
Hager, Georg
Wellein, Gerhard
Schürmann, Felix

July 2020

Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brai...

On The Computational Power Of Neural Nets

Hava T. Siegelmann
Eduardo D. Sontag

January 1991

This paper deals with the simulation of Turing machines by neural networks. Such networks are made u...

Hypercube algorithms for neural network simulation: the Crystal_Accumulator and the Crystal_Router

Fox, G. C.
Furmanski, W.

January 1988

We discuss communication algorithms relevant for neural network modeling on distributed memory concu...

An efficient, low-cost routing architecture for spiking neural network hardware implementations

Luo, Yuling
Wan, Lei
Harkin, Jim
Cao, Yi

February 2018

The basic processing units in brain are neurons and synapses that are interconnected in a complex p...

Parallel Simulation of Pulse Coded Neural Networks

K. Mohraz
U. Schott
M. Pauly

January 1997

The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...

Place and Route Algorithms for a Neuromorphic Communication Network Simulator

Pettersson, Fredrik

January 2021

In recent years, neural networks have seen increased interest from both the cognitive computing and ...

The Back Propagation Model for neural network

M. Turega

January 1990

The Back Propagation Model for neural network simulation is a very simple and very popular model for...

Code for "Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers"

Pronold, Jari
Jordan, Jakob
Wylie, Brian
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

July 2021

This repository contains the source code data files to run the benchmarks plotting routines ...

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Pronold, J.
Jordan, J.
Wylie, B. J. N.
Kitayama, Itaru
Diesmann, M.
Kunkel, Susanne

January 2022

Simulation is a third pillar next to experiment and theory in the study of complex dynamic systems s...

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Pronold, Jari
Jordan, Jakob
Wylie, Brian J. N.
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

March 2022

Simulation is a third pillar next to experiment and theory in the study of complex dynamic systems s...

Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring

Pronold, Jari
Jordan, Jakob
Wylie, Brian J. N.
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

January 2022

Generic simulation code for spiking neuronal networks spends the major part of the time in the phase...

Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring.

Pronold, Jari
Jordan, Jakob
Wylie, Brian J N
Kitayama, Itaru
Diesmann, Markus
Kunkel, Susanne

January 2022

Generic simulation code for spiking neuronal networks spends the major part of the time in the phase...

Symbolic processing in neural networks

Neto, João Pedro
Siegelmann, Hava T.
Costa, J.Félix

April 2003

In this paper we show that programming languages can be translated into recurrent (analog, rational ...

Optimizing Network Traffic for Spiking Neural Network Simulations on Densely Interconnected Many-Core Neuromorphic Platforms

URGESE, GIANVITO
BARCHI, FRANCESCO
MACII, Enrico
ACQUAVIVA, ANDREA

January 2016

In this paper we present a new Partitioning and Placement methodology able to maps Spiking Neural Ne...

Energy Efficient Neuromorphic Computing with Oscillatory Neural Networks

Todri-Sanial, Aida

December 2021

International audienceCurrent classical computers are playing a critical role in advanced research s...

Analytic performance modeling and analysis of detailed neuron simulations

Cremonesi, Francesco
Hager, Georg
Wellein, Gerhard
Schürmann, Felix

July 2020

Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brai...

On The Computational Power Of Neural Nets

Hava T. Siegelmann
Eduardo D. Sontag

January 1991

This paper deals with the simulation of Turing machines by neural networks. Such networks are made u...

Hypercube algorithms for neural network simulation: the Crystal_Accumulator and the Crystal_Router

Fox, G. C.
Furmanski, W.

January 1988

We discuss communication algorithms relevant for neural network modeling on distributed memory concu...

An efficient, low-cost routing architecture for spiking neural network hardware implementations

Luo, Yuling
Wan, Lei
Harkin, Jim
Cao, Yi

February 2018

The basic processing units in brain are neurons and synapses that are interconnected in a complex p...

Parallel Simulation of Pulse Coded Neural Networks

K. Mohraz
U. Schott
M. Pauly

January 1997

The simulation of brain areas (e.g. the visual cortex), comprising huge networks of integrate & ...

Place and Route Algorithms for a Neuromorphic Communication Network Simulator

Pettersson, Fredrik

January 2021

In recent years, neural networks have seen increased interest from both the cognitive computing and ...

The Back Propagation Model for neural network

M. Turega

January 1990

The Back Propagation Model for neural network simulation is a very simple and very popular model for...

Code for "Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers"

Abstract

Extracted data

Code for "Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers"

Abstract

Extracted data

Related items

Related items