PARALLEL PROCESSING

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PARALLEL EXECUTION

Core 1

Spawn

Core 2

Gather

Core 3

Spawn -> Compute -> Gather

Tuesday, August 20, 13

presentation - VirtualRDC @ Cornell - Cornell University

PARALLEL EXECUTION Core 1 Spawn Core 2 Gather Core 3 Spawn -> Compute -> Gather Tuesday, August 20, 13

BENEFITS VS COSTS Using more cores can potentially do more work But! Each core needs access to the data (spawn) Each core needs to output results (gather) Additional programming and processing time required to implement a solution in parallel Tuesday, August 20, 13

Page 1 and 2: Tuesday, August 20, 13 PARALLEL PRO
Page 3: THREADS VS PROCESSES Both can be us
Page 7 and 8: AMDAHL’S LAW P=Number of Cores al
Page 9 and 10: EXAMPLE (CONTINUED) Within each gro
Page 11 and 12: SHOULD I GO PARALLEL? Careful tunin
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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