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Multiprocessor scheduling
Results: 52

#	Item
41	Performance Ratios for the Karmarkar-Karp Differencing Method Wil Michiels1 2 , Jan Korst2 , Emile Aarts1 2 , and Jan van Leeuwen3 1 Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands Add to Reading List Source URL: alexandria.tue.nl Language: English - Date: 2003-04-07 04:13:26 Subset sum problem Multiprocessor scheduling Applied mathematics NP-complete problems Theoretical computer science Dynamic programming Mathematical optimization
42	Microsoft Word - Multicore_BinPack.docx Add to Reading List Source URL: mdh.diva-portal.org Language: English - Date: 2010-05-17 09:01:17 Scheduling Concurrency control Computer architecture Parallel computing Multi-core processor Thread Real-time operating system Lock Multiprocessor scheduling Computing Concurrent computing Scheduling algorithms
43	A Energy Optimization for Real-Time Multiprocessor System-on-Chip with Optimal DVFS and DPM Combination GANG CHEN, Technical University Munich, Germany Kai Huang, Technical University Munich, Germany Alois Knoll, Technic Add to Reading List Source URL: www6.in.tum.de Language: English - Date: 2013-12-10 08:07:20 Computer hardware Electronics Central processing unit Idle Power management Multi-core processor Dynamic frequency scaling Program optimization Computing Scheduling Energy conservation
44	DESIGN RATIONALE FOR PSYCHE, A GENERAL·PURPOSE MULTIPROCESSOR OPERATING SYSTEM also mean that Psyche will not be a back·end system. In addition to individual, highly·parallel applications, it will Add to Reading List Source URL: www.cs.rochester.edu Language: English - Date: 2011-03-28 16:39:14 Process Scheduling Concurrency control Thread Kernel Mach Ring Process management Operating system Computing Computer architecture Concurrent computing
45	Design Rationale for Psyche, a General·Purpose Multiprocessor Operating System Michael L. Scott, Thomas J. LeBlanc, and Brian D. Marsh University of Rochester Department DC Computer Science Rochester, NY 14627 Add to Reading List Source URL: www.cs.rochester.edu Language: English - Date: 2011-03-26 00:10:57 Concurrent computing Process Scheduling Concurrency control Thread Kernel Mach Ring Process management Computer architecture Computing System software
46	Multiprocessor task scheduling in multistage hybrid ﬂow-shops: a genetic algorithm approach F Sivrikaya S¸erifog˘lu1* and G Ulusoy2 1 Abant Izzet Baysal University, Bolu, Turkey; 2Sabanci University, Istanbul, Turke Add to Reading List Source URL: research.sabanciuniv.edu Language: English - Date: 2011-09-30 05:03:31 Mathematics Planning Scheduling Mathematical sciences Job shop scheduling Theoretical computer science Genetic algorithm Algorithm Multiprocessor scheduling Operations research Mathematical optimization Applied mathematics
47	T HESIS FOR THE D EGREE OF D OCTOR OF P HILOSOPHY Three Aspects of Real-Time Multiprocessor Scheduling: Timeliness, Fault Tolerance, Mixed Criticality Add to Reading List Source URL: www.cse.chalmers.se Language: English - Date: 2012-10-19 09:59:57 Planning Real-time computing Multiprocessor scheduling Fault-tolerant design Computing Technology Mathematical sciences Scheduling algorithms Scheduling Operations research
48	T HESIS FOR THE D EGREE OF D OCTOR OF P HILOSOPHY Three Aspects of Real-Time Multiprocessor Scheduling: Timeliness, Fault Tolerance, Mixed Criticality Add to Reading List Source URL: www.cse.chalmers.se Language: English - Date: 2012-10-19 09:59:57 Planning Real-time computing Multiprocessor scheduling Fault-tolerant design Computing Technology Mathematical sciences Scheduling algorithms Scheduling Operations research
49	Three Aspects of Real-Time Multiprocessor Scheduling: Timeliness, Fault Tolerance, Mixed Criticality Risat Mahmud Pathan Department of Computer Science and Engineering Chalmers University of Technology, Sweden Add to Reading List Source URL: www.cse.chalmers.se Language: English - Date: 2012-10-12 10:39:13 Operations research Planning Multiprocessor scheduling Fault-tolerant design Technology Computing Mathematical sciences Earliest deadline first scheduling Rate-monotonic scheduling Scheduling algorithms Scheduling Real-time computing
50	Provably Efficient Two-Level Adaptive Scheduling Yuxiong He1 , Wen-Jing Hsu1 , and Charles E. Leiserson2 1 Nanyang Technological University, Nanyang Avenue[removed], Singapore, Add to Reading List Source URL: supertech.csail.mit.edu Language: English - Date: 2014-09-16 08:27:51 Computing Planning Job shop scheduling Multiprocessor scheduling Applied mathematics Thread Job scheduler Parallel computing Operations research Scheduling Mathematical optimization

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