Nonnumeric search results on the EM-4 distributed-memory multiprocessor. Supercomputing '94: Proceedings of the 1994 ACM/IEEE conference on Supercomputing.
Specifically, we investigate (1) the effects of threading on workload distribution, (2) the effects of threading on data distribution, and (3) thread ...
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Fingerprint. Dive into the research topics of 'Multithreading with the EM-4 distributed-memory multiprocessor'. Together they form a unique fingerprint.
This paper presents our study on multithreading for distributed-memory multiprocessors. Specifically, we investigate the effects of multithreading on data ...
Matching data distribution to workload distribution is important in improving the performance of distributed-memory multiprocessors.
Multithreading lets you take advantage of multiprocessors, primarily through parallelism and scalability.
... memory access communication and multithreading in the EM-4 multiprocessor. The EM-4 is a distributed memory multiprocessor which has a dataflow mechanism.
This report presents our study on multithreading for distributed-memory multiprocessors. Specifically, we investigate the effects of multithreading on data ...
In a multithreaded process on a single processor, the processor can switch execution resources between threads, resulting in concurrent execution. Concurrency ...
Multithreading and multiprocessing are two ways to achieve multitasking in Python. Learn the difference between them, when to use them and how to implement.