Compiling global name-space parallel loops for distributed execution

1991 ◽  
Vol 2 (4) ◽  
pp. 440-451 ◽  
Author(s):  
C. Koelbel ◽  
P. Mehrotra
Keyword(s):  
Distributed Execution ◽  
Parallel Loops

A Layered Mapping of Ada 202X to OpenMP

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.

Run-time parallelization for partially parallel loops

2002 ◽  
Author(s):  
Chao-Tung Yang ◽  
Shian-Shyong Tseng ◽  
Shih Hung Kao ◽  
Ming-Hui Hsieh ◽  
Mon-Fong Jiang
Keyword(s):  
Parallel Loops ◽  
Run Time ◽  
Time Parallelization

scholarly journals Coach planning with opponent models for distributed execution

2006 ◽  
Vol 13 (3) ◽  
pp. 293-325 ◽  
Author(s):  
Patrick F. Riley ◽  
Manuela M. Veloso
Keyword(s):  
Distributed Execution

scholarly journals Evaluating Distributed Execution of Workloads

2017 ◽  
Author(s):  
Matteo Turilli ◽  
Yadu Nand Babuji ◽  
Andre Merzky ◽  
Ming Tai Ha ◽  
Michael Wilde ◽  
...  
Keyword(s):  
Distributed Execution

scholarly journals Distributed execution of workflow

2009 ◽  
Author(s):  
Hedayat, Maryam Khademi
Keyword(s):  
Distributed Execution
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