Dynamic Language Parallelization, Issue 1178

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University of Wisconsin-Madison, Computer Sciences Department, 1993 - Dynamic programming - 290 pages
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The dynamic techniques address parallelization in the presence of four language attributes that inhibit static parallelization: imperative higher-order functions, side effects to dynamic structures, expressions with variable amounts of computation, and automatic storage reclamation. [lambda]-Tagging dynamically propagates information about a function's side effects with the function's physical run-time representation. A [lambda]- tagging compiler can insert checks to [lambda]-tags that select parallel evaluation only when [lambda]-tag side-effect information indicates that parallel evaluation is safe. Dynamic resolution determines at run time when updates to a dynamic data structure may safely occur in parallel. It dynamically detects shared data, and correctly coordinates access to this data at run time.

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Language Compiler and Machine
Dynamic Resolution

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