Dec 4, 2001 · In this paper, a we focus on how ownership sets can be efficiently determined in the context of the HPF language, and show how the structure of ...

Abstract. Ownership sets are fundamental to the partitioning of pro- gram computations across processors by the owner-computes rule. These.

In this paper, a we focus on how ownership sets can be efficiently determined in the context of the HPF language, and show how the structure of these sets can ...

In this paper, we focus on how ownership sets can be efficiently determined in the context of the HPF language and show how the structure of these sets can be ...

Thus, by efficiently exploiting the ownership set, efficient SPMD code can be generated efficiently at compile time. APPENDIX. LEMMA PROOFS. Proof for Lemma ...

Exploiting Ownership Sets in HPF. 259-273. view. electronic edition via DOI ... Issues of the Automatic Generation of HPF Loop Programs. 359-362. view.

The efficient computation of ownership sets in HPF. 2001, IEEE Transactions on Parallel and Distributed Systems. Exploiting ownership sets in HPF. 2001 ...

Exploiting Ownership Sets in HPF. Proceedings of the International Workshop on Languages and Compilers for Parallel Computing, IBM T. J. Watson Research ...

Exploiting Ownership Sets in HPF. 259. A Performance Advisor Tool for SharedMemory Parallel Programming. 274. A Comparative Analysis of Dependence Testing ...

Ownership of data is the central concept for the execution of HPF programs. Based on the ownership of data (owner-computes rule), the distribution of ...