Actions for Parallel processing algorithms for hydrocodes on a computer with MIMD architecture (DENELCOR's HEP).

Email RIS file
Bookmark
Report an Issue

Parallel processing algorithms for hydrocodes on a computer with MIMD architecture (DENELCOR's HEP).

Author
Hicks, D. L.
Published
United States : [publisher not identified], 1983
Springfield, Va.: National Technical Information Service, [approximately 1983]
Physical Description
microfiche : negative ; 11 x 15 cm

Availability

Browse Nearby on Shelf
I Want It
I Want It

Finding items...

Summary
In real time simulation/prediction of complex systems such as water-cooled nuclear reactors, if reactor operators had fast simulator/predictors to check the consequences of their operations before implementing them, events such as the incident at Three Mile Island might be avoided. However, existing simulator/predictors such as RELAP run slower than real time on serial computers. It appears that the only way to overcome the barrier to higher computing rates is to use computers with architectures that allow concurrent computations or parallel processing. The computer architecture with the greatest degree of parallelism is labeled Multiple Instruction Stream, Multiple Data Stream (MIMD). An example of a machine of this type is the HEP computer by DENELCOR. It appears that hydrocodes are very well suited for parallelization on the HEP. It is a straightforward exercise to parallelize explicit, one-dimensional Lagrangean hydrocodes in a zone-by-zone parallelization. Similarly, implicit schemes can be parallelized in a zone-by-zone fashion via an a priori, symbolic inversion of the tridiagonal matrix that arises in an implicit scheme. These techniques are extended to Eulerian hydrocodes by using Harlow's rezone technique. The extension from single-phase Eulerian to two-phase Eulerian is straightforward. This step-by-step extension leads to hydrocodes with zone-by-zone parallelization that are capable of two-phase flow simulation. Extensions to two and three spatial dimensions can be achieved by operator splitting. It appears that a zone-by-zone parallelization is the best way to utilize the capabilities of an MIMD machine. 40 references.
Report Numbers
DE84004941; EGG-SAAM-6452
Other Subject(s)
Collection
NTIS collection.
Note
DOE contract number: AC07-76ID01570
OSTI Identifier 5487001
Research organization: Idaho National Engineering Lab., Idaho Falls (USA).
View MARC record | catkey: 47336407