Analog techniques can lead to ultra-efficient computational systems when applied to the right applications. The problem of associative memory is well suited to array-based analog ...
Alan Kramer, Roberto Canegallo, Mauro Chinosi, D. ...
This paper presents an extensive empirical evaluation of an interprocedural parallelizing compiler, developed as part of the Stanford SUIF compiler system. The system incorporates...
Mary W. Hall, Saman P. Amarasinghe, Brian R. Murph...
This paper deals with the monitoring and diagnosis of large discrete-event systems. The problem is to determine, online, all faults and states that explain the flow of observatio...
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
Despite many efforts, the predominant practice of debugging a distributed system is still printf-based log mining, which is both tedious and error-prone. In this paper, we present...