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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An identification-based computing-power resources co-allocation platform

Ning Ma, Gong Li, Zhuo Zou, Jianghao AN et al.
Power Systems and Technologies
article

An identification-based computing-power resources co-allocation platform

Ning Ma, Gong Li, Zhuo Zou, Jianghao AN, Li-Rong Zheng
article en

Abstract

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.

Fudan University (CN), Guangdong Polytechnic of Science and Technology (CN)
Openalex Percentile: Top 86%
Power Systems and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

An identification-based computing-power resources co-allocation platform — Ning Ma, Gong Li, et al. · (2024) | TGRS Research Map | TGRS