Print Email Facebook Twitter Validation of Performance Estimation, Channel Sizing and Automatic Loop Transformations of High Level Specifications for Polyhedral Process Network Title Validation of Performance Estimation, Channel Sizing and Automatic Loop Transformations of High Level Specifications for Polyhedral Process Network Author McGirr, C.A. Contributor van Leuken, T.G.R.M. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Microelectronics Programme Embedded Systems Date 2016-11-29 Abstract In this thesis, we present Cprof+, an upgraded version of Cprof. Cprof+ is a lightweight profiling tool for Polyhedral Process Networks (PPN) that can estimate the performance of a C-program as a PPN implemented in hardware. Cprof+ improves the set of possible programs that can be successfully profiled, by increasing the performance estimation accuracy to within 94% of RTL simulations. Using the Compaan Compiler and the Xilinix Vivado RTL simulator, Cprof+ was verified against all 29 Polybench Suite benchmarks. The purpose of Cprof+ is to provide a lightweight and rapid performance estimation tool for PPN applications. The simulation run-time of Cprof+ shows on average an execution time of 121 seconds compared to 598 seconds with Vivado RTL simulations. Cprof+ can also estimate channel sizes of the PPN interconnect based on execution proles of the processes. The estimated channel sizes achieved on average a 77% reduction in communication memory when compared to Compaan. The Cprof+ profiler can also aid the designer of PPN applications by applying automated source-to-source transformations on C-programs to assist in the design space exploration. These transformations are applied using an optimization technique based on channel sizes of the network interconnect. This technique yields on average a 64% increase in performance of the network latency with a 6x factor increase in hardware resources required. Subject polyhedral process networksperformance estimationsource-to-source transformationdesign space explorationchannel size estimationcommunication channel type detection To reference this document use: http://resolver.tudelft.nl/uuid:7ee4b3eb-e136-4889-80f2-b440c5ff49be Part of collection Student theses Document type master thesis Rights (c) 2016 McGirr, C.A. Files PDF thesis_c_a_mcgirr.pdf 1.29 MB Close viewer /islandora/object/uuid:7ee4b3eb-e136-4889-80f2-b440c5ff49be/datastream/OBJ/view