PPT-reMinMin : A Novel Static Energy-Centric List Scheduling Approach Based on Real Measurements

Achim Lösch and Marco Platzner achimloesch platzner upbde Heterogeneous Compute Node Contribution Novel energyoptimizing list scheduling approach for single heterogeneous compute nodes based on real measurements. . . Ellidiss. Technologies, France . University of Brest/UBO, Lab-STICC/UMR 6285, France. . 2. /18. Talk overview. Cheddar project : context and motivations . Research . Roadmap. . 3. /17. About scheduling analysis and its use . . Mutli-core. . Scheduling. Moris Behnam. Introduction. Single processor scheduling. E.g., t. 1. (P=10,C=5), t. 2. (10, 6) . U=0.5+0.6>1. Use a faster processor. Thermal and power problems impose limits . DECOMPOSED CONFORMANCE ANALYSIS. Seppe. . vanden. . Broucke. , . Jorge . Munoz. -Gama. , . Josep Carmona, Bart . Baesens. , and . Jan. . Vanthienen. CoopIS. 2014. APPROACH. DECOMPOSITION. CONFORMANCE CHECKING. Multiprocessor and Real-Time Scheduling. Operating Systems:. Internals and Design Principles, 6/E. William Stallings. Dave Bremer. Otago Polytechnic, N.Z.. ©2008, Prentice Hall. Roadmap. Multiprocessor Scheduling. Martha Garcia. Static Process scheduling. Goals of Static Process Scheduling. Types of Static Process Scheduling. Future Research. References. Static Process scheduling. GOALS :. Given a set or partially ordered tasks, define a mapping of processes to processors before the execution of the processes.. Ioannis . Ioakeimidis. , February 2014. SPLENDID aims to develop a . technological system . to help . measure. , . evaluate. . and . offer feedback. about eating and activity behaviour in real-life.. of . Safety-Critical . RT Software . to Multicore. Marco . Caccamo. University of Illinois. at Urbana-Champaign. Outline. Motivation. Memory. -centric scheduling . theory. Background: . PRedictable. Execution Model (PREM). Multi-core Processors. Dawei Li . and Jie . Wu. Department of Computer and Information Sciences. Temple University, Philadelphia, . USA. The 43. rd. International . C. onference on Parallel . P. rocessing. WORKSHOP: THEORY AND PRACTICE OF SECURE MULTIPARTY COMPUTATION. Adaptive UC from . New Notions of Non-Malleability. 15 years of UC-Security [Canetti00]. 2. 5 years of Adaptive Security [Beaver89]. dynamic. Analysis for Weakly Hard Real-. Time Tasks in Partitioning Scheduling on. Multiprocessor . Systems. Energy Reduction in Weakly Hard Real . Time Systems. Singh Y, . Popli. M, Shukla . Jaypee. . University of Information Technology. Bulk-synchronous Programming Models on. CPU Architectures. Hee-Seok. Kim. , . Izzat. El Hajj, John Stratton,. Steven . Lumetta. and . Wen-mei. . Hwu. CPU. (Intel, AMD, PowerPC). GPU. (NVIDIA, AMD, Imagination, ARM). Presented by Glenn Elliott. (with most slides by Jim Anderson and some from Steve Goddard) . Real-Time Basics. Throughout this part of the talk, we assume a . uniprocessor. platform.. 2. A system with a dual notion of correctness:. Select process to . run next . Must handle…. Priorities . Forking . – where does child go? . What . about if you only use part of your quantum? . E.g. ., blocking I/O. Linux 2.4. Linux scheduler had a single list of tasks. Chapter 6: CPU Scheduling. Basic Concepts. Scheduling Criteria . Scheduling Algorithms. Thread Scheduling. Multiple-Processor Scheduling. Real-Time CPU Scheduling . (Skip). Operating Systems Examples.