Self-adaptive parallel programming through tunable concurrency

Abstract

Recent advances in hardware architectures, particularly multicore and manycore systems, implicitly require programmers to write concurrent programs. However, writing correct and efficient concurrent programs is challenging. We envision a system where the concurrent programs can be self-adaptive when executing on different hardware. We have developed two different tuning policies, which enable users' programs to adjust their level of concurrency at compile-time and run-time respectively.