NOTE: This item is not available outside the Texas A&M University network. Texas A&M affiliated users who are off campus can access the item through NetID and password authentication or by using TAMU VPN. Non-affiliated individuals should request a copy through their local library's interlibrary loan service.
On dynamic parallel execution of large scientific codes
| dc.creator | Perez, Jason | |
| dc.date.accessioned | 2012-06-07T22:37:55Z | |
| dc.date.available | 2012-06-07T22:37:55Z | |
| dc.date.created | 1994 | |
| dc.date.issued | 1994 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1994-THESIS-P438 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references. | en |
| dc.description.abstract | Detection and utilization of the natural parallelism of a program is the key to exploiting the computing power of a massively parallel processing (MPP) computing system. In this thesis some large scientific codes written in the Fortran language are analyzed to study the looping behavior of these codes to determine loops that merit parallelization. By inserting special tags in the code the parallelism analyzer can communicate to the compiler to insert special instructions for the dynamic allocation of processors at run-time of an MPP system. The target MPP architecture which features the Dynamic Processor Allocator coprocessor can allocate free processors to multiple tasks at their requests through a dynamic processor allocation protocol. The simulation results show that the proposed scheme utilizes the system resources only when necessary, and the parallelism of application codes can be effectively exploited. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | electrical engineering. | en |
| dc.subject | Major electrical engineering. | en |
| dc.title | On dynamic parallel execution of large scientific codes | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | electrical engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
Files in this item
This item appears in the following Collection(s)
-
Digitized Theses and Dissertations (1922–2004)
Texas A&M University Theses and Dissertations (1922–2004)
Request Open Access
This item and its contents are restricted. If this is your thesis or dissertation, you can make it open-access. This will allow all visitors to view the contents of the thesis.