Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/115563
DC FieldValue
dc.titleA note on compiling FORTRAN loop kernels onto a dataflow architecture
dc.contributor.authorWalker, E.
dc.contributor.authorMorgan, G.
dc.contributor.authorCass, B.
dc.contributor.authorUlanowski, Z.
dc.date.accessioned2014-12-12T07:29:27Z
dc.date.available2014-12-12T07:29:27Z
dc.date.issued1997-01
dc.identifier.citationWalker, E.,Morgan, G.,Cass, B.,Ulanowski, Z. (1997-01). A note on compiling FORTRAN loop kernels onto a dataflow architecture. Parallel Computing 22 (11) : 1545-1557. ScholarBank@NUS Repository.
dc.identifier.issn01678191
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115563
dc.description.abstractCurrently, dataflow architectures are programmed using applicative languages to ease the task of deriving the dataflow graph during compilation. We summarise our experience gained in prototyping a FORTRAN nested loop kernel compiler for a pipeline-ring dataflow architecture. We present the status of the current implementation and future directions which the development of the compiler will take. Current evidence suggests that it is possible to efficiently compile FORTRAN nested loop kernels directly onto dataflow architectures without the need for additional run-time support mechanisms. We present a scheme for deriving the dataflow graph from the analysis of "carried" array variable subscript expressions, and a scheme to map the actors in the dataflow graph onto a pipeline-ring of Field Programmable Gate Array (FPGA) devices.
dc.sourceScopus
dc.subjectDataflow architecture
dc.subjectFORTRAN loop kernels
dc.subjectFPGA devices
dc.subjectHigh performance computing
dc.subjectParallelizing compiler
dc.typeArticle
dc.contributor.departmentNATIONAL SUPERCOMPUTING RESEARCH CENTRE
dc.description.sourcetitleParallel Computing
dc.description.volume22
dc.description.issue11
dc.description.page1545-1557
dc.description.codenPACOE
dc.identifier.isiutNOT_IN_WOS
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