The R-LRPD test: speculative parallelization of partially parallel loops

Proceedings 16th International Parallel and Distributed Processing Symposium ◽

10.1109/ipdps.2002.1015493 ◽

2002 ◽

Cited By ~ 24

Author(s):

F. Dang ◽

Hao Yu ◽

L. Rauchwerger

Keyword(s):

Speculative Parallelization ◽

Parallel Loops

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Speculative Parallelization of Partially Parallel Loops

Languages, Compilers, and Run-Time Systems for Scalable Computers - Lecture Notes in Computer Science ◽

10.1007/3-540-40889-4_22 ◽

2000 ◽

pp. 285-299 ◽

Cited By ~ 4

Author(s):

Francis H. Dang ◽

Lawrence Rauchwerger

Keyword(s):

Speculative Parallelization ◽

Parallel Loops

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Hardware for speculative parallelization of partially-parallel loops in DSM multiprocessors

Proceedings Fifth International Symposium on High-Performance Computer Architecture ◽

10.1109/hpca.1999.744351 ◽

1999 ◽

Cited By ~ 14

Author(s):

Ye Zhang ◽

L. Rauchwerger ◽

J. Torrellas

Keyword(s):

Speculative Parallelization ◽

Parallel Loops

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A Layered Mapping of Ada 202X to OpenMP

ACM SIGAda Ada Letters ◽

10.1145/3463478.3463482 ◽

2021 ◽

Vol 40 (2) ◽

pp. 55-58

Author(s):

S. Tucker Taft

Keyword(s):

Operating System ◽

Application Programming Interface ◽

Light Weight ◽

Main Interest ◽

Thread Scheduling ◽

Environment Variables ◽

Application Programming ◽

Parallel Loops ◽

Programming Interface

The OpenMP specification defines a set of compiler directives, library routines, and environment variables that together represent the OpenMP Application Programming Interface, and is currently defined for C, C++, and Fortran. The forthcoming version of Ada, currently dubbed Ada 202X, includes lightweight parallelism features, in particular parallel blocks and parallel loops. All versions of Ada, since its inception in 1983, have included "tasking," which corresponds to what are traditionally considered "heavyweight" parallelism features, or simply "concurrency" features. Ada "tasks" typically map to what are called "kernel threads," in that the operating system manages them and schedules them. However, one of the goals of lightweight parallelism is to reduce overhead by doing more of the management outside the kernel of the operating system, using a light-weight-thread (LWT) scheduler. The OpenMP library routines support both levels of threading, but for Ada 202X, the main interest is in making use of OpenMP for its lightweight thread scheduling capabilities.

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