Hardware Architecture Impact on Manycore Programming Model

Abstract: This work investigates how certain processor architectures can affectthe implementation and performance of a parallel programming model.The Ericsson Many-Core Architecture (EMCA) is compared and contrastedto general-purpose multicore processors, highlighting differencesin their memory systems and processor cores. A proof-of-conceptimplementation of the Concurrency Building Blocks (CBB) programmingmodel is developed for x86-64 using MPI. Benchmark tests showhow CBB on EMCA handles compute-intensive and memory-intensivescenarios, compared to a high-end x86-64 machine running the proofof-concept implementation. EMCA shows its strengths in heavy computationswhile x86-64 performs at its best with high degrees of datareuse. Both systems are able to utilize locality in their memory systemsto achieve great performance benefits.