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Title: T-thinker: a task-centric distributed framework for compute-intensive divide-and-conquer algorithms
Many computationally expensive problems are solved by a divide-and-conquer algorithm: a problem over a big dataset can be recursively divided into independent tasks over smaller subsets of the dataset. We present a distributed general-purpose framework called T-thinker which effectively utilizes the CPU cores in a cluster by properly decomposing an expensive problem into smaller independent tasks for parallel computation. T-thinker well overlaps CPU processing with network communication, and its superior performance is verified over a re-engineered graph mining system G-thinker available at http://cs.uab.edu/yanda/gthinker/  more » « less
Award ID(s):
1755464
NSF-PAR ID:
10093306
Author(s) / Creator(s):
; ; ; ; ;
Date Published:
Journal Name:
Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Page Range / eLocation ID:
411 - 412
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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