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We present and examine the following Serialize-to-Parallelize Paradox: suppose a programmer has a parallel algorithm in mind; the programmer must serialize the algorithm , and is actually trained to suppress its parallelism, while writing code; later, however, compilation and runtime techniques are used to reverse the results of this seri-alization eeort(More)
Existzng programming envtronments for clusters are typically bualt on top of a potnt-to-poznt communaca-tton layer (send and recezve) over local area networks (L A N s) and, as a result sufler from poor performance a n the collective communzcation pait For example, a broadcast that as amplemented using a TCP/IP proio-col (whzch IS a poant-to-point protocol)(More)
Parallel computing on clusters of workstations and personal computers has very high potential, since it leverages existing hardware and software. In fact, there are a number of existing commercial parallel programming environments that can run on top of clusters of workstations, for example , PVM, IBM PPE and EXPRESS by Parasoft. Parallel programming(More)
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