Dataflow computing with polymorphic registers

Conference paper (2013)

Authors

C.B. Ciobanu Chalmers University of Technology
G. Gaydadjiev Chalmers University of Technology
Christian Pilato Politecnico di Milano
D. Sciuto Politecnico di Milano
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Published Date

2013

Language

English

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Abstract

Heterogeneous systems are becoming increasingly popular for data processing. They improve performance of simple kernels applied to large amounts of data. However, sequential data loads may have negative impact. Data parallel solutions such as Polymorphic Register Files (PRFs) can potentially accelerate applications by facilitating high speed, parallel access to performance-critical data. Furthermore, by PRF customization, specific data path features are exposed to the programmer in a very convenient way. PRFs allow additional control over the registers dimensions, and the number of elements which can be simultaneously accessed by computational units. This paper shows how PRFs can be integrated in dataflow computational platforms. In particular, starting from an annotated source code, we present a compiler-based methodology that automatically generates the customized PRFs and the enhanced computational kernels that efficiently exploit them.