ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.12855
  4. Cited By
Routing brain traffic through the von Neumann bottleneck: Efficient
  cache usage in spiking neural network simulation code on general purpose
  computers
v1v2 (latest)

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

27 September 2021
Jari Pronold
Jakob Jordan
B. Wylie
Itaru Kitayama
M. Diesmann
Susanne Kunkel
ArXiv (abs)PDFHTML

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

2 / 2 papers shown
Title
Metadata practices for simulation workflows
Metadata practices for simulation workflows
Jose Villamar
Matthias Kelbling
Heather L. More
Michael Denker
Tom Tetzlaff
Johanna Senk
Stephan Thober
AI4CE
28
0
0
30 Aug 2024
Sub-realtime simulation of a neuronal network of natural density
Sub-realtime simulation of a neuronal network of natural density
Anno C. Kurth
Johanna Senk
D. Terhorst
J. Finnerty
M. Diesmann
AI4CE
68
21
0
08 Nov 2021
1