Work stealing is a promising approach to constructing multithreaded program runtimes of
parallel programming languages. This paper presents HERMES, an energy-efficient work …

Running multithreaded programs in multicore systems has become a common practice for
many application domains. Work stealing is a widely-adopted and effective approach for …

Parallel applications often rely on work stealing schedulers in combination with fine-grained
tasking to achieve high performance and scalability. However, reducing the total energy …

Amdahl's law provides architects a compelling reason to introduce system asymmetry to
optimize for both serial and parallel regions of execution. Asymmetry in a multicore …

Work-stealing is a promising approach for effectively exploiting software parallelism on
parallel hardware. A programmer who uses work-stealing explicitly identifies potential …

As small-scale, shared-memory multiprocessors make their way onto desktops, the high-
performance parallel applications that run on these machines will have to live alongside …

Emerging energy-harvesting computer systems extract energy from their environment to
compute, sense, and communicate with no battery or tethered power supply. Building …

Work stealing is a popular approach to scheduling task-parallel programs. The flexibility
inherent in work stealing when dealing with load imbalance results in seemingly irregular …

On shared-memory systems, Cilk-style work-stealing has been used to effectively parallelize
irregular task-graph based applications such as Unbalanced Tree Search (UTS). There are …

We propose an embedded multiprocessor architecture and its associated thread-based
programming model. Using a cycle-true simulation model of this architecture, we are able to …