A low cost, low power, high scalability and dependability processor-cluster platform

Yi Li Lin, Wei Tso Chen, Alvin W.Y. Su, Da Wei Chang, Chung Ho Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Nowadays, more and more applications are computing-intensive, such as search engines, online game servers, or even fMRI, used in medical examination. Supercomputers are setup to meet the computing demand as well as huge data storage. However, some applications favor computing power much more than data storage. To emphasize on providing computing power with low cost, low power, high scalability and dependability, this work presents a platform which involves a group of computing clusters. A cluster consists of up to 12 processors. A computing job is distributed to a group of processors for speed-up. Moreover, an FPGA may join for further acceleration. A set of front-end servers is responsible for job dispatching and maintains reliability. The system details are described. Current status and ongoing work are also reported.

Original languageEnglish
Title of host publicationSIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings
Pages95-98
Number of pages4
DOIs
Publication statusPublished - 2011
Event6th IEEE International Symposium on Industrial Embedded Systems, SIES 2011 - Vasteras, Sweden
Duration: 2011 Jun 152011 Jun 17

Publication series

NameSIES 2011 - 6th IEEE International Symposium on Industrial Embedded Systems, Conference Proceedings

Other

Other6th IEEE International Symposium on Industrial Embedded Systems, SIES 2011
Country/TerritorySweden
CityVasteras
Period11-06-1511-06-17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering

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