Conference proceeding
Realizing Complexity-Effective On-Chip Power Delivery for Many-Core Platforms by Exploiting Optimized Mapping
2015 33RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), pp 581-588
01 Jan 2015
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
In the recent years, many-core platforms have emerged to boost performance while meeting tight power constraints. Per-core Dynamic Voltage and Frequency Scaling (DVFS) maximizes energy savings and meets the performance requirements of a given workload. Given a limited number of I/0 pins and the need for finer control of voltage and frequency settings per core, there is a substantial cost in using off-chip voltage regulators. Consequently, there has been increased attention on the use of on-chip voltage regulators (OCVR) in many-core systems. However, integrating OCVRs comes at a cost of reduced power conversion efficiency (PCE) and increased complexity in the power delivery network and management of the OCVRs. In this paper, the effect of PCE on the thread-to-core mapping algorithm is investigated and the importance of the PCE-aware mapping scheme to optimize energy-efficiency is highlighted. Based on the results, up to 38% more energy savings is achieved as compared to PCE-agnostic algorithms. Moreover, the impact of core clustering granularity and process variation on the total efficiency of the system is explored. When relaxing the energy constraints by just 10%, an effective mapping reduces the complexity of the power delivery system by allowing the use of a significantly smaller number of voltage regulators, as compared to per-core OCVR. The results provided in the paper indicate an important opportunity for system and circuit co-design to implement energy-efficient and complexity-effective platforms for a target workload.
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Details
- Title
- Realizing Complexity-Effective On-Chip Power Delivery for Many-Core Platforms by Exploiting Optimized Mapping
- Creators
- Mohammad Khavan Tavana - George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USADivya Pathak - Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USAMohammad Hossein Hajkazemi - George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USAMaria Malik - George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USAIoannis Savidis - Drexel Univ, Dept Elect & Comp Engn, Philadelphia, PA 19104 USAHouman Homayoun - George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA 22030 USAIEEE
- Publication Details
- 2015 33RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), pp 581-588
- Conference
- 2015 33RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD), 33rd
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000370645200092
- Other Identifier
- 991019170373904721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic