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Scheduling Placement-Sensitive BSP Jobs with Inaccurate Execution Time Estimation
July 2020 • Zhenhua Han, Haisheng Tan, Shaofeng H.-C. Jiang, Xiaoming Fu, Wanli Cao, Francis C. M. Lau
The Bulk Synchronous Parallel (BSP) paradigm is gaining tremendous importance recently because of the pop-ularity of computations such as distributed machine learning and graph computation. In a typical BSP job, multiple workers concurrently conduct iterative computations, where frequent synchronization is required. Therefore, the workers should be scheduled simultaneously and their placement on different computing devices could significantly affect the performance. Simply retrofitting a traditional scheduling dis…
Computer Science
Rounding
Parallel Computing
Algorithm
Schedule
Artificial Intelligence
Mathematics