1. Realizing Efficient Execution of Dataflow Actors on Manycores
- Author
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Essayas Gebrewahid, Gustav Cedersjö, Mingkun Yang, Bertil Svensson, Zain Ul Abdin, Jorn W. Janneck, and Verónica Gaspes
- Subjects
CAL ,Java ,Computer science ,Dataflow ,dataflow languages ,Parallel computing ,code generation ,compilation framework ,Massively parallel processor array ,Software portability ,Imperative programming ,Programming paradigm ,Code generation ,Inbäddad systemteknik ,Embedded Systems ,computer ,manycore ,Dataflow architecture ,computer.programming_language - Abstract
Embedded DSP computing is currently shifting towards manycore architectures in order to cope with the ever growing computational demands. Actor based dataflow languages are being considered as a programming model. In this paper we present a code generator for CAL, one such dataflow language. We propose to use a compilation tool with two intermediate representations. We start from a machine model of the actors that provides an ordering for testing of conditions and firing of actions. We then generate an Action Execution Intermediate Representation that is closer to a sequential imperative language like C and Java. We describe our two intermediate representations and show the feasibility and portability of our approach by compiling a CAL implementation of the Two-Dimensional Inverse Discrete Cosine Transform on a general purpose processor, on the Epiphany manycore architecture and on the Ambric massively parallel processor array. © 2014 IEEE. HiPEC
- Published
- 2014