This is necessary because there is no limit on the number of indirect processes that a task can run, and Unix/Posix systems do not provide a unified way to obtain all nested child processes.
We first show that this problem is NP-hard, and then propose two conflict-aware scheduling algorithms for uniform and non-uniform tasks whose goal is to maximize the number of measurement tasks that can run concurrently, based on a well-known approximation algorithm.
Research on speculative architectures, however, has often run aground on the problem of "atomicity". Like all parallel architectures, speculative architectures require the programmer to divide programs into tasks that can run simultaneously.
For example, the IP can schedule all hardware tasks that can run in parallel in a one clock cycle.
So the scheduling time of hardware tasks depends on the number of tasks that we can run in parallel.
The technological forces now moving in Java's favor instead revolve more closely around the idea of "distributed computing" -- the ability to break up software tasks so they can run on many different computers on a network.
When run on a multi-processor system, many of the tasks can be run in parallel to reduce the execution time of the script.
Spinetta says the success of UAV missions depends on keeping operators alert — a challenging task when missions can run for months at a time without a day of rest.
Web-based programs for e-mail, spreadsheets and other tasks can be run in a browser, undermining the value of the underlying operating system.
