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Tarak N. Mandal

Researcher at IBM

Publications -  5
Citations -  15

Tarak N. Mandal is an academic researcher from IBM. The author has contributed to research in topics: Very-large-scale integration & Routing (electronic design automation). The author has an hindex of 2, co-authored 5 publications receiving 15 citations.

Papers
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Proceedings ArticleDOI

A graph based algorithm to minimize total wire length in VLSI channel routing

TL;DR: This paper develops an efficient heuristic algorithm for appreciably reducing the total wire length in the reserved two-layer no-dogleg Manhattan channel routing model and results obtained are greatly encouraging.
Proceedings ArticleDOI

Algorithms for high performance two-layer channel routing

TL;DR: This paper has developed heuristic algorithms for computing reduced crosstalk two-layer channel routing solutions for simplest as well as general channel instances and the results obtained are highly encouraging.

A Review on Crosstalk Avoidance and Minimization in VLSI Systems

TL;DR: This paper has reviewed the effects and impact that crosstalk has on the performance and reliability of VLSI circuits and systems, and presented a concise but informative review on the various methods that researchers worldwide are implementing for a priori c Crosstalk avoidance or a posteriori crosStalk minimization in V LSI systems from the point of view of fabrication over the past few decades.
Proceedings ArticleDOI

Yet an efficient algorithm for computing reduced area VLSI channel routing solutions with floating terminals

TL;DR: This paper considers a general channel routing problem for channel instances with fixed and floating terminals, and develops an efficient graph based heuristic algorithm for reducing area in the reserved two-layer Manhattan channel routing model.
Proceedings ArticleDOI

Generation of random channel specifications for channel routing problem

TL;DR: Algorithms for generating random channel specifications of channel routing problem in VLSI design and convergence of results of a heuristic algorithm is well established.