PARALLEL PROCESSING

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EXAMPLE (CONTINUED) If the data is already in memory then the spawn and gather will be very efficient. If the data must be read from disk, the time spent performing the sum will be small relative to the read time If the groups are large, numerous, and the amount of processing time for each group is high then it may be worthwhile to execute in parallel Both programming and processing time should be considered when determining whether to implement a solution in parallel Tuesday, August 20, 13
SHOULD I GO <strong>PARALLEL</strong>? Careful tuning of a single threaded application may be a better investment Does your program take days or weeks to find a solution? How often will you run the code? Before implementing a parallel solution spend time assessing the expected benefit Tuesday, August 20, 13
Page 1 and 2: Tuesday, August 20, 13 PARALLEL PRO
Page 3 and 4: THREADS VS PROCESSES Both can be us
Page 5 and 6: BENEFITS VS COSTS Using more cores
Page 7 and 8: AMDAHL’S LAW P=Number of Cores al
Page 9: EXAMPLE (CONTINUED) Within each gro
Page 13 and 14: TAKE CONTROL OF IMPLICIT THREADS SA
Page 15 and 16: PBS PRO Job scheduler on the SSG th

PARALLEL PROCESSING

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