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

Chen, Jing, 1995 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Manivannan, Madhavan, 1986 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Goel, Bhavishya, 1981 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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Abduljabbar, Mustafa, 1986 (author)
Chalmers tekniska högskola,Chalmers University of Technology,Ohio State University
Pericas, Miquel, 1979 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
2022
2022
English.
In: Proceedings - Symposium on Computer Architecture and High Performance Computing. - 1550-6533. ; , s. 326-335
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

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)

Keyword

Resource management
Runtimes
Energy
Task scheduling
DVFS
Power modeling
Performance modeling

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