By Topic

Mapping homogeneous computations onto dynamically configurable coarse-grained architectures

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Dandalis, A. ; Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA ; Prasanna, V.K.

FPGAs are fine-grained architectures, mainly designed for implementing bit-level tasks and random logic functions. Their performance is limited for computationally demanding applications over large word length data. A highly promising avenue that is being explored by many research groups is coarse-grained configurable architectures. These architectures are datapath-oriented structures and consist of a small number of powerful, word-based configurable processing elements (PEs). Such architectures can result in greater computational efficiency and high throughput for coarse-grained computing tasks. The key for achieving high performance solutions is efficient mapping of tasks onto above architectures. In addition to achieving high computational rates, partitionability is a desirable characteristic of the mapping. Moreover, the computational efficiency must scale with the size of the architecture. Finally, it must result in a simple PE structure, regular/balanced dataflow and sustainable I/O requirements so that it can be realized in hardware. In this paper we show a methodology for deriving dynamic computation structures for 2 dimensioned homogeneous computations. Homogeneous computations lead to all PEs having the same functionality. The derived dynamic structures match the datapath-oriented nature of coarse-grained architectures and lead to efficient mapping schemes. Our solutions require constant I/O and smaller amount of local memory/PE compared with known solutions

Published in:

FPGAs for Custom Computing Machines, 1998. Proceedings. IEEE Symposium on

Date of Conference:

15-17 Apr 1998