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Journal article

Numerical Data Representations for FPGA-Based Scientific Computing

Abstract

Data representation is an important problem for scientific computing problems that are mapped to FPGAs. The key challenge here is to derive best trade-offs between precision and performance. This article describes methods to manage the complexity associated with the analysis of data representation techniques so that we thereby understand precision/performance trade-offs.

Authors

Constantinides GA; Nicolici N; Kinsman AB

Journal

IEEE Design and Test, Vol. 28, No. 4, pp. 8–17

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

July 1, 2011

DOI

10.1109/mdt.2011.48

ISSN

2168-2356

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