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It seems this paper, which serves as a foundation for subsequent work on list ranking parallel algorithms, handles the oversight of assigning processors by assuming that the input is just given as an array containing the linked list (not necessarily in the order of the nodes in the list). This assumption of contiguous memory storage is implicitly followed in ...


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Do the work in batches. Have a separate buffer for each stream that stores the unprocessed items. When you invoke $f$ for stream $S_i$, invoke 100 times on the 100 oldest items in the buffer for $S_{i-1}$, then remove those items from the buffer. This basically increases the granularity of operations, and should reduce the overhead from synchronization by ...


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The machine with 2 threads per core will have always have more throughput than a machine with a single thread per core. A machine with more threads will be able to execute more threads concurrently and it reduces the idle time spent by a CPU's resource (example: Arithmetic Logic Unit). It does this by switching to a different thread if the current thread is ...


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There's no real way to answer this without a lot of details about both the code to be executed, and the micro-architecture of the CPU executing the code. A CPU that can execute multiple threads per core will typically start with a pool of instructions, decoded and ready to execute. As instructions enter the pool, a scoreboard1 gets updated to reflect inputs ...


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