2024-03-28 17:11 |
Detailed record - Similar records
|
2024-03-28 17:07 |
Detailed record - Similar records
|
2024-03-27 11:29 |
Detailed record - Similar records
|
2024-03-25 10:05 |
Detailed record - Similar records
|
2024-03-25 09:26 |
Detailed record - Similar records
|
2024-03-22 12:29 |
Detailed record - Similar records
|
2024-03-22 12:21 |
Detailed record - Similar records
|
2024-03-13 09:20 |
[FZJ-2024-01918]
Contribution to a conference proceedings/Contribution to a book
Schätzle, F. ; Falquez, C. ; Heinen, S. ; et al
Modeling methodology for multi-die chip design based on gem5/SystemC co-simulation
2024Proceedings of the 16th Workshop on Rapid Simulation and Performance Evaluation for Design - ACM New York, NY, USA, 2024. - ISBN 9798400717918 - doi:10.1145/3642921.3642956 RAPIDO '24: Rapid Simulation and Performance Evaluation for Design, Munich GermanyMunich Germany, Germany, 17 Jan 2024 - 19 Jan 20242024-01-172024-01-19
ACM New York, NY, USA 7 pp. (2024) [10.1145/3642921.3642956]2024
The paper introduces a modeling methodology aimed at thoroughlyexploring the design space of multi-die chip architecture tailoredfor High-Performance Computing (HPC). For accurate simulations,we leverage the capabilities of gem5’s Ruby for its robust CPUmodels and cache coherence protocols, providing a comprehensiverepresentation of die architecture. [...]
Restricted: PDF;
Detailed record - Similar records
|
2024-03-12 13:25 |
Detailed record - Similar records
|
2024-03-12 12:43 |
[FZJ-2024-01911]
Contribution to a conference proceedings
Ebrahimzadeh, p. ; Bouhadjar, Y. ; Schiek, M. ; et al
Attractor states in spiking neural networks
2023Berstein Conference 2023, BerlinBerlin, Germany, 26 Sep 2023 - 29 Sep 20232023-09-262023-09-29
G-Node 1 pp. (2023) [10.12751/NNCN.BC2023.174]2023
Considering the brain as a dynamical system allows for a rigorous analysis of some aspects of brain dynamics regarding the working memory and their relation to spike patterns. The concept of attractor networks describes one of the dynamical mechanisms in which the brain maintains persistent activity via creating locally stable attractor states. [...]
Detailed record - Similar records
|
|
|