Basic HTML version of Foils prepared 14 October 1997

Foil 44 Data Parallel Parallel Execution Time -I

From Fox Presentation Fall 1995 CPS615 Basic Simulation Track for Computational Science -- Fall Semester 95/96/97. by Nancy McCracken and Geoffrey C. Fox
1 Consider time for Runge Kutta invocation of function Grav
2 Shifting particles communicates one set of particle information - all processors communicate at the same time giving estimate:
3 9 * tcomm (factor should be 7 as need only 1 not 3 masses as we used in simple implementation earlier)
  • we are ignoring latency which in practice means best implementation transfers several (not N-1 as in naive data parallel algorithm) particles at a time
4 Floating point calculations: roughly 3(x,y,z) of -, *, sum, sqrt, exp, /, *, +, *, + which can be summarized as estimate: > 30 tfloat
5 Each communicated particle is interacted with the N/Nproc particles in the local partition of that processor and each step has one shift giving a total time for (N-1)/2 steps in Grav:
in Table To:

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