D2.3 Power models, energy models and libraries for energy-efficient concurrent data structures and algorithms

2018/01/31 by Phuong Hoai Ha, Ha, Phuong Hoai, Vi Ngoc-Nha Tran +13
Computer Science · #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC) #cs.DC

paper · pdf · doi:10.48550/arxiv.1801.10556

142 pages

arxiv created 2018/02/08 · arxiv updated 2018/02/09

Abstract

This deliverable reports the results of the power models, energy models and libraries for energy-efficient concurrent data structures and algorithms as available by project month 30 of Work Package 2 (WP2). It reports i) the latest results of Task 2.2-2.4 on providing programming abstractions and libraries for developing energy-efficient data structures and algorithms and ii) the improved results of Task 2.1 on investigating and modeling the trade-off between energy and performance of concurrent data structures and algorithms. The work has been conducted on two main EXCESS platforms: Intel platforms with recent Intel multicore CPUs and Movidius Myriad platforms.

Related

• D2.1 Models for energy consumption of data structures and algorithms
• D2.4 Report on the final prototype of programming abstractions for energy-efficient inter-process communication
• D2.2 White-box methodologies, programming abstractions and libraries
• ICE: A General and Validated Energy Complexity Model for Multithreaded Algorithms
• Energy of Computing on Multicore CPUs: Predictive Models and Energy Conservation Law