Publication Date:
2019-07-13
Description:
We developed a dataflow framework which provides a basis for rigorously defining strategies to make use of runtime preprocessing methods for distributed memory multiprocessors. In many programs, several loops access the same off-processor memory locations. Our runtime support gives us a mechanism for tracking and reusing copies of off-processor data. A key aspect of our compiler analysis strategy is to determine when it is safe to reuse copies of off-processor data. Another crucial function of the compiler analysis is to identify situations which allow runtime preprocessing overheads to be amortized. This dataflow analysis will make it possible to effectively use the results of interprocedural analysis in our efforts to reduce interprocessor communication and the need for runtime preprocessing.
Keywords:
MATHEMATICAL AND COMPUTER SCIENCES (GENERAL)
Type:
NASA-CR-189664
,
ICASE-92-22
,
NAS 1.26:189664
,
AD-A253885
,
Workshop on Languages and Compilers for Parallel Computing; Aug 01, 1992; New Haven, CT; United States
Format:
application/pdf
