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Proceedings ArticleDOI

Optimal allocation of computational resources in VLSI

Kedem
- pp 379-385
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This article is published in Foundations of Computer Science.The article was published on 1982-01-01. It has received 6 citations till now. The article focuses on the topics: Resource management & Memory management.

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Proceedings ArticleDOI

On notions of information transfer in VLSI circuits

TL;DR: It is shown the fooling set approach is not the most powerful way to get information-transfer-based lower bounds, and a candidate for the title “most powerful” is offered.
Journal ArticleDOI

Area-time lower-bound techniques with applications to sorting

TL;DR: Regimes corresponding to each of the three mechanisms described above can appear by varying the problem parameters, as this work shall illustrate by analyzing the problem of sortingn keys each ofk bits, for whichAT2,AT, andAT/logA bounds are derived.
Book ChapterDOI

On Restricted Boolean Circuits

TL;DR: Bounds are given comparing the computational power of circuits from these classes of restricted Boolean circuits: synchronous and locally synchronous circuits, planar circuits, formulas and multilectivePlanar circuits.
Journal ArticleDOI

On the complexity of planar Boolean circuits

TL;DR: It is shown that planar circuits and formulas are incomparable and an Ω(n3/2) lower bound is given for the multilective planar circuit complexity of a multiple output function.
Journal ArticleDOI

Multiple cuts, input repetition, and VLSI complexity

TL;DR: Revue des methodes de coupures multiples appliquees a la determination de la complexite des circuits VLSI, basees sur une definition generalisee du «contenu d'information», s'agissent aux problemes autorisant ou non la repetition des entrees.
References
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Proceedings ArticleDOI

Area-time complexity for VLSI

TL;DR: The complexity of the Discrete Fourier Transform is studied with respect to a new model of computation appropriate to VLSI technology, which focuses on two key parameters, the amount of silicon area and time required to implement a DFT on a single chip.
Journal ArticleDOI

The Area-Time Complexity of Binary Multiplication

TL;DR: By using a model of computation which is a realistic approx~mauon to current and anucipated LSI or VLSI technology, it is shown that A T 2.0 is shown to be the time required to perform multtphcaUon of n-bit binary numbers on a chip.
Proceedings ArticleDOI

The entropic limitations on VLSI computations(Extended Abstract)

TL;DR: The limitations imposed by entropic constraints, both in generality and for specific problems, are explored, including in the binary number system, while addition is easy while multiplication is hard for VLSI.
Proceedings ArticleDOI

A combinatorial limit to the computing power of V.L.S.I. circuits

TL;DR: In this paper, it was shown that the area of any circuit computing a transitive function grows quadratically with the circuit's maximum data-rate, expressed in bit/second.
Proceedings ArticleDOI

A model of computation for VLSI with related complexity results

TL;DR: A new model of computation for VLSI is proposed which is a refinement of previous models and makes the additional assumption that the time for propagating information is linear in the distance, which makes it especially suited for deriving lower bounds and trade-offs.
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