Publication: Co-exploration of NLA kernels and specification of Compute Elements in distributed memory CGRAs 

Authors:
Mahadurkar,, M. ,  Merchant, F. ,  Maity, A. ,  Vatwani, K. ,  Munje, I. ,  Gopalan, N. ,  Nandy, S. K. ,  Narayan, R.
Book Title:
SAMOS 2014
Pages:
p.p. 225--232
Date:
2014
DOI:
10.1109/SAMOS.2014.6893215
Language:
English

Abstract

Coarse Grained Reconfigurable Architectures (CGRA) are emerging as embedded application processing units in computing platforms for Exascale computing. Such CGRAs are distributed memory multi-core compute elements on a chip that communicate over a Network-on-chip (NoC). Numerical Linear Algebra (NLA) kernels are key to several high performance computing applications. In this paper we propose a systematic methodology to obtain the specification of Compute Elements (CE) for such CGRAs. We analyze block Matrix Multiplication and block LU Decomposition algorithms in the context of a CGRA, and obtain theoretical bounds on communication requirements, and memory sizes for a CE. Support for high performance custom computations common to NLA kernels are met through custom function units (CFUs) in the CEs. We present results to justify the merits of such CFUs.

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