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Dynamic Partitioning of Non-Uniform Structured Workloads with Spacefilling Curves
March 1996 (vol. 7 no. 3)
pp. 288-300

Abstract—We discuss Inverse Spacefilling Partitioning (ISP), a partitioning strategy for non-uniform scientific computations running on distributed memory MIMD parallel computers. We consider the case of a dynamic workload distributed on a uniform mesh, and compare ISP against Orthogonal Recursive Bisection (ORB) and a Median of Medians variant of ORB, ORB-MM. We present two results. First, ISP and ORB-MM are superior to ORB in rendering balanced workloads—because they are more fine-grained—and incur communication overheads that are comparable to ORB. Second, ISP is more attractive than ORB-MM from a software engineering standpoint because it avoids elaborate bookkeeping. Whereas ISP partitionings can be described succinctly as logically contiguous segments of the line, ORB-MM's partitionings are inherently unstructured. We describe the general d-dimensional ISP algorithm and report empirical results with two- and three-dimensional, non-hierarchical particle methods.

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Index Terms:
Dynamic load balancing, distributed memory parallel computers, spacefilling curve, non-uniform computations, irregular data partitioning, particle methods, performance.
Citation:
John R. Pilkington, Scott B. Baden, "Dynamic Partitioning of Non-Uniform Structured Workloads with Spacefilling Curves," IEEE Transactions on Parallel and Distributed Systems, vol. 7, no. 3, pp. 288-300, March 1996, doi:10.1109/71.491582
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