An identification-based computing-power resources co-allocation platform
With the rapid development of Artificial Intelligence (AI) technology, the demand for various types of computing-power, such as Central Processing Unit (CPU), Graphics Processing Unit (GPU), Neural Processing Unit (NPU), Tensor Processing Unit (TPU), and Field-Programmable Gate Array (FPGA), has been increasingly growing to accommodate diverse data processing tasks. To enhance the efficiency of computing-power provisioning, addressing the current imbalance between supply and demand, the computing-power awareness architecture has been developed utilizing a domain-based collaborative topology. This architecture ensures a balanced network, robust fault tolerance, and straightforward system management and maintenance. Identification resolution and trusted authentication technology are applied to co-allocate heterogeneous com-puting-power resources (CPR), providing a unified interaction and sharing platform for various business needs.
Authors
- Ning Ma (ORCID: https://orcid.org/0000-0003-4653-7797)
- Gong Li (ORCID: https://orcid.org/0000-0002-2817-0162)
- Zhuo Zou (ORCID: https://orcid.org/0000-0003-1417-2068)
- Jianghao AN
- Li-Rong Zheng
Institutions
- Fudan University (CN)
- Guangdong Polytechnic of Science and Technology (CN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1117/12.3050961
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00