Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
SSS: Self-aware System-on-chip Using a Static-dynamic Hybrid Method
Hefei Univ Technol, 193 Tunxi Rd, Hefei, Anhui, Peoples R China..
Hefei Univ Technol, 193 Tunxi Rd, Hefei, Anhui, Peoples R China..
Hefei Univ Technol, 193 Tunxi Rd, Hefei, Anhui, Peoples R China..
Hefei Univ Technol, 193 Tunxi Rd, Hefei, Anhui, Peoples R China..
Visa övriga samt affilieringar
2019 (Engelska)Ingår i: ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, ISSN 1550-4832, Vol. 15, nr 3, artikel-id 28Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Network-on-Chip (NoC) has become the de facto communication standard for multi-core or many-core System-on-Chip (SoC) due to its scalability and flexibility. However, an important factor in NoC design is temperature, which affects the overall performance of SoC-decreasing circuit frequency, increasing energy consumption, and even shortening chip lifetime. In this article, we propose SSS, a self-aware SoC using a static-dynamic hybrid method that combines dynamic mapping and static mapping to reduce the hotspot temperature for NoC-based SoCs. First, we propose monitoring and thermal modeling for self-state sensoring. Then, in static mapping stage, we calculate the optimal mapping solutions under different temperature modes using the discrete firefly algorithm to help self-decisionmaking. Finally, in dynamic mapping stage, we achieve dynamic mapping through configuring NoC and SoC sentient units for self-optimizing. Experimental results show that SSS has substantially reduced the peak temperature by up to 37.52%. The FPGA prototype proves the effectiveness and smartness of SSS in reducing hotspot temperature.

Ort, förlag, år, upplaga, sidor
ASSOC COMPUTING MACHINERY , 2019. Vol. 15, nr 3, artikel-id 28
Nyckelord [en]
Network on chip, self-awareness, temperature optimization, hardware and software, co-design
Nationell ämneskategori
Annan elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:kth:diva-264852DOI: 10.1145/3313869ISI: 000495421500006Scopus ID: 2-s2.0-85065735032OAI: oai:DiVA.org:kth-264852DiVA, id: diva2:1377237
Anmärkning

QC 20191211

Tillgänglig från: 2019-12-11 Skapad: 2019-12-11 Senast uppdaterad: 2019-12-11Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Personposter BETA

Lu, Zhonghai

Sök vidare i DiVA

Av författaren/redaktören
Lu, Zhonghai
Av organisationen
Elektronik och inbyggda system
Annan elektroteknik och elektronik

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 101 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf