Synthesizing combinational logic to generate probabilities: Theories and algorithms

Weikang Qian, Marc D. Riedel, Kia Bazargan, David J. Lilja

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

As CMOS devices are scaled down into the nanometer regime, concerns about reliability are mounting. Instead of viewing nano-scale characteristics as an impediment, technologies such as PCMOS exploit them as a source of randomness. The technology generates random numbers that are used in probabilistic algorithms. With the PCMOS approach, different voltage levels are used to generate different probability values. If many different probability values are required, this approach becomes prohibitively expensive. In this chapter, we demonstrate a novel technique for synthesizing logic that generates new probabilities from a given set of probabilities. We focus on synthesizing combinational logic to generate arbitrary decimal probabilities from a given set of input probabilities. We demonstrate how to generate arbitrary decimal probabilities from small sets-a single probability or a pair of probabilities-through combinational logic.

Original languageEnglish (US)
Title of host publicationAdvanced Techniques in Logic Synthesis, Optimizations and Applications
PublisherSpringer New York
Pages337-357
Number of pages21
ISBN (Print)9781441975171
DOIs
StatePublished - 2011

Fingerprint

Dive into the research topics of 'Synthesizing combinational logic to generate probabilities: Theories and algorithms'. Together they form a unique fingerprint.

Cite this