Efficient detection of determinacy races in Cilk programs
Proceedings of the ninth annual ACM symposium on Parallel algorithms and architectures
The implementation of the Cilk-5 multithreaded language
PLDI '98 Proceedings of the ACM SIGPLAN 1998 conference on Programming language design and implementation
Scheduling multithreaded computations by work stealing
Journal of the ACM (JACM)
Intel threading building blocks
Intel threading building blocks
Brief announcement: serial-parallel reciprocity in dynamic multithreaded languages
Proceedings of the twenty-second annual ACM symposium on Parallelism in algorithms and architectures
Using memory mapping to support cactus stacks in work-stealing runtime systems
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
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Work stealing is a common technique used in the runtime schedulers of parallel languages such as Cilk and parallel libraries such as Intel Threading Building Blocks (TBB). Depth-restricted work stealing is a restriction of Cilk-like work stealing in which a processor blocked on a task at depth d can only steal tasks from other processors at depth greater than d. To support programs coded in a blocking style, i.e., code without explicit continuations, TBB imposes a depth restriction on work stealing to limit the stack space used by a computation. We present a lower bound on the completion time of a computation executed using a depth-restricted work-stealing scheduler. In particular, we construct a computation which on P processors runs a factor of Ω(P) slower with depth-restricted work stealing as compared to unrestricted work stealing. On this pessimal computation, depth-restricted work stealing asymptotically serializes execution while unrestricted work stealing achieves linear speedup.