scispace - formally typeset
N

Nicola Nicolici

Researcher at McMaster University

Publications -  136
Citations -  3588

Nicola Nicolici is an academic researcher from McMaster University. The author has contributed to research in topics: Design for testing & Automatic test pattern generation. The author has an hindex of 32, co-authored 134 publications receiving 3528 citations. Previous affiliations of Nicola Nicolici include University of Southampton.

Papers
More filters
Journal ArticleDOI

Bit-Width Allocation for Hardware Accelerators for Scientific Computing Using SAT-Modulo Theory

TL;DR: This paper addresses the range problem where employing SMT leads to more accurate bounds estimation than those provided by other analytical methods, in turn yielding smaller bit-widths, and hence a reduction in hardware cost and/or increased parallelism, while maintaining robustness as is necessary for scientific applications.
Journal ArticleDOI

Simultaneous reduction in volume of test data and power dissipation for systems-on-a-chip

TL;DR: In this article, the authors investigated the reasons for the current trade-off of test data volume for scan power dissipation in system-on-chip (SOC) testing, and understand the conflict between the existing compression method and scan power minimization technique and proves that by using a new compression method this tradeoff is unnecessary.
Proceedings ArticleDOI

Finite precision bit-width allocation using SAT-modulo theory

TL;DR: This paper explores the use of SAT-Modulo Theory in determination of bit-widths for finite precision implementation of numerical calculations, specifically in the context of scientific computing where division frequently occurs.
Journal ArticleDOI

Dual multiple-polynomial LFSR for low-power mixed-mode BIST

TL;DR: In this article, a new mixed-mode test pattern generator is proposed with reduced power dissipation during test when compared with existing test pattern generators, which is achieved by combining the masking properties of AND/OR composition with LFSR reseeding.
Proceedings ArticleDOI

Automated data analysis solutions to silicon debug

TL;DR: An automated software solution to analyze the data collected during silicon debug to detect suspects in both the spatial and the temporal domain is presented.