Abstract
Hamming said that the purpose of computing was "insight, not numbers." Yet benchmarking embedded systems is today a numbers game. In this talk, I will dissect Hamming's famous quote and provide some reasons to hope we can making benchmarking of embedded systems into a science. In particular, I will discuss how to model and measure quantities so that one can gain confidence in the results. I will use the industry standard EEMBC benchmark set as an example. Along the way, I will (I hope) give some insight into what the EEMBC benchmarks are trying to test. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Conte, T. M. (2007). Keynote: Insight, not (random) numbers: An embedded perspective. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4367 LNCS, p. 3). Springer Verlag. https://doi.org/10.1007/978-3-540-69338-3_1
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