HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations-Reference-Cited by-同舟云学术

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HRCM: A Hierarchical Regularizing Mechanism for Sparse and Imbalanced Communication in Whole Human Brain Simulations

Published:2024-06 Issue:6 Volume:35 Page:1056-1073
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Du Xin¹^ORCID,Wang Minglong¹^ORCID,Lu Zhihui¹^ORCID,Duan Qiang²^ORCID,Liu Yuhao¹^ORCID,Feng Jianfeng³^ORCID,Wang Huarui³^ORCID

Affiliation:

1. School of Computer Science, Fudan University, Shanghai, China

2. School of Information Sciences and Technology, Pennsylvania State University, State College, PA, USA

3. Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major

National Key Research and Development Program of China

National Natural Science Foundation of China

Shanghai Science and Technology Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/71/10494199/10496893.pdf?arnumber=10496893

Reference43 articles.

1. Cognitive computing

2. Brain research challenges supercomputing

3. Solving the Quadratic Assignment Problem (QAP) Through a Fine-Grained Parallel Genetic Algorithm Implemented on GPUs

4. The human brain in numbers: a linearly scaled-up primate brain

5. NestMC: A prototype multicompartment neuronal network simulator for high-performance computing;Peyser,2017

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