The variability of application execution times on a multi-core platform
Ref: CISTER-TR-160608 Publication Date: 5, Jul, 2016
The variability of application execution times on a multi-core platform
Ref: CISTER-TR-160608 Publication Date: 5, Jul, 2016Abstract:
It is a known fact that processes running concurrently on different cores in a multicore environment interfere with each other on the processor shared resources. The contention on these shared
resources considerably slows down the execution on every core since sometimes the cores must
stall while their requests to access the resources are being served. But by how much the execution may b e s lowed down due to this interference? In this pap er we answer this question with
numbers coming from experimentation. That is, we quantify the magnitude of the impact of the
interference on the execution time by running programs taken from the TACLeBench benchmark
suite, a popular benchmark suite in the real-time research community, on the first generation
of Kalray manycore processor family, the MPPA-256 (the development board) that goes by the
code name “Andey”.
Vincent Nélis
Patrick Meumeu Yomsi
Luis Miguel PinhoDocument:
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Download16th International Workshop on Worst-Case Execution Time Analysis (WCET 2016).
Toulouse, France.
Notes: WCET was held as part of ECRTS 2016 that took place in Toulouse, France on July 5-8, 2016.
Record Date: 27, Jun, 2016