Algorithms
Tight bounds on the complexity of parallel sorting
IEEE Transactions on Computers
Sorting n Objects with a k-Sorter
IEEE Transactions on Computers
Introduction to parallel algorithms and architectures: array, trees, hypercubes
Introduction to parallel algorithms and architectures: array, trees, hypercubes
An introduction to parallel algorithms
An introduction to parallel algorithms
Proceedings of the eighth annual ACM symposium on Parallel algorithms and architectures
Fast Parallel Sorting Under LogP: Experience with the CM-5
IEEE Transactions on Parallel and Distributed Systems
Load balanced parallel radix sort
ICS '98 Proceedings of the 12th international conference on Supercomputing
ACM Computing Surveys (CSUR)
Identifying the Capability of Overlapping Computation with Communication
PACT '96 Proceedings of the 1996 Conference on Parallel Architectures and Compilation Techniques
Sorting networks and their applications
AFIPS '68 (Spring) Proceedings of the April 30--May 2, 1968, spring joint computer conference
| Hi-index | 0.00 |
Load balanced parallel radix sort solved the load imbalance problem present in parallel radix sort. Redistributing the keys in each round of radix, each processor has exactly the same number of keys, thereby reducing the overall sorting time. Load balanced radix sort is currently known the fastest internal sorting method for distributed-memory multiprocessors. However, as the computation time is balanced, the communication time emerges as the bottleneck of the overall sorting performance due to key redistribution. We present in this report a new parallel radix sorter that solves the communication problem of balanced radix sort, called partitioned parallel radix sort. The new method reduces the communication time by eliminating the redistribution steps. The keys are first sorted in a top-down fashion (left-to-right as opposed to right-to-left) by using some most significant bits. Once the keys are localized to each processor, the rest of sorting is confined within each processor, hence eliminating the need for global redistribution of keys. It enables well balanced communication and computation across processors. The proposed method has been implemented in three different distributedmemory platforms, including IBM SP2, CRAY T3E, and PC Cluster. Experimental results with various key distributions indicate that partitioned parallel radix sort indeed shows significant improvements over balanced radix sort. IBM SP2 shows 13% to 30% improvement while Cray/SGIT3E does 20% to 100% in execution time. PC cluster shows over 2.5 fold improvement in execution time.