SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Goel Bhavishya 1981)
 

Sökning: WFRF:(Goel Bhavishya 1981) > STEER: Asymmetry-aw...

STEER: Asymmetry-aware Energy Efficient Task Scheduler for Cluster-based Multicore Architectures

Chen, Jing, 1995 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Manivannan, Madhavan, 1986 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
Goel, Bhavishya, 1981 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
visa fler...
Abduljabbar, Mustafa, 1986 (författare)
Chalmers tekniska högskola,Chalmers University of Technology,Ohio State University
Pericas, Miquel, 1979 (författare)
Chalmers tekniska högskola,Chalmers University of Technology
visa färre...
 (creator_code:org_t)
2022
2022
Engelska.
Ingår i: Proceedings - Symposium on Computer Architecture and High Performance Computing. - 1550-6533. ; , s. 326-335
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • Reducing the energy consumption of parallel applications is becoming increasingly important. Current chip multiprocessors (CMPs) incorporate asymmetric cores (i.e. static asymmetry) and DVFS (i.e. dynamic asymmetry) to enable energy efficient execution. To reduce cost and complexity, designs typically organize asymmetric cores into core-clusters supporting the same DVFS setting across cores in a cluster. Recent approaches that focus on energy efficient scheduling of task-based parallel applications predominantly rely on dynamic asymmetry, particularly per-core DVFS, for reducing energy. More importantly, they do not consider the impact of task heterogeneity (i.e. varying task characteristics, intra-task parallelism and task granularity) in conjunction with the dynamic and static asymmetries provided by the platform. Together, these provide significant opportunities for further energy savings. In this work we propose STEER, a framework that enables energy efficient execution of task-based parallel applications by leveraging static asymmetry, dynamic asymmetry and task heterogeneity. STEER utilizes a combination of models and heuristics to predict the execution time and power consumption and determine core type, number of cores and frequency for running tasks. Our evaluation shows that STEER achieves 38% energy reduction on average compared to the state-of-the-art approaches.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)

Nyckelord

Resource management
Runtimes
Energy
Task scheduling
DVFS
Power modeling
Performance modeling

Publikations- och innehållstyp

kon (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy