By Igor Benko, Jo Ebergen (auth.), Jordi Cortadella, Alex Yakovlev, Grzegorz Rozenberg (eds.)
As CMOS semiconductor expertise strides in the direction of billions of transistors on a unmarried die new difficulties come up at the means. they're interested in the - minishing fabrication method gains, which a?ect for instance the gate-to-wire hold up ratio. They show up themselves in better diversifications of measurement and working parameters of units, which positioned the final reliability of structures in danger. And, so much of all, they've got great influence on layout productiveness, the place the prices of using the starting to be silicon ‘real property’ rocket to billions of greenbacks that experience to be spent on layout, veri?cation, and checking out. All such difficulties demand new - signal ways and types for electronic platforms. moreover, new advancements in non-CMOS applied sciences, corresponding to single-electron transistors, fast single-?- quantum units, quantum dot cells, molecular units, and so on. , upload additional call for for brand spanking new examine in process layout methodologies. what sort of versions and layout methodologies should be required to construct platforms in a lot of these new applied sciences? Answering this query, even for every specific form of new know-how new release, isn't effortless, specially simply because occasionally it's not even transparent what sort of user-friendly units are possible there. This challenge is of an interdisciplinary nature. It calls for an bridges among di?erent scienti?c groups. The bridges needs to be outfitted in a short time, and be maximally ?exible to deal with adjustments occurring in a logarithmic timescale.
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Additional info for Concurrency and Hardware Design: Advances in Petri Nets
From our speciﬁcation we know that P ⊗ Q = P & Q. Hence, we get P &Q o (P0 & Q0 ) ⊗ P1 ⊗ Q1 Finally, if the processes P0 & Q0 , P1 , and Q1 have no outputs in common, then by Theorem 8 (5), the rounded product of these processes is equal to their network composition: P & Q o (P0 & Q0 ) P1 Q1 Thus we have derived that the speciﬁcation composition of snippets P and Q can be reﬁned by a network of three processes, where each process is a speciﬁcation composition of one or more snippets from the part reﬁnements.
It repeatedly waits for a transition of its input signal, propagating it to both its output signals. , always transmitting both together, can be decomposed into a Fork element in parallel with a transformed version of P in which a,b is replaced by c, provided that the signal c is not already used. Merge has two input signals, a and b, and an output signal, c. It repeatedly waits for a transition of an input signal and propagates it. forever do select a/c alt b/c end end Inputs a and b are mutually exclusive here.
Consequently, the Petri nets it produces are simpler, making them more readable and requiring less work to be performed by petrify. 4 Summary In the body of this chapter, we apply the DISP programming language to the design of a number of interesting aynchronous logic blocks that can be found in the literature. This includes two small, but real-world, design examples: (1) asynchronous controllers for a micropipeline stage, of the kind used in the ARMcompatible asynchronous processor core of the AMULET2e embedded system chip ; (2) a self-timed adder cell of the kind used in the arithmetic units of the Caltech asynchronous microprocessors [17, 18] and in the dual-rail cell library of the Tangram silicon compiler  (which is used for product design by Philips Semiconductors).
Concurrency and Hardware Design: Advances in Petri Nets by Igor Benko, Jo Ebergen (auth.), Jordi Cortadella, Alex Yakovlev, Grzegorz Rozenberg (eds.)