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Rajiv V. Joshi

Researcher at IBM

Publications -  336
Citations -  6463

Rajiv V. Joshi is an academic researcher from IBM. The author has contributed to research in topics: Static random-access memory & CMOS. The author has an hindex of 41, co-authored 309 publications receiving 6117 citations. Previous affiliations of Rajiv V. Joshi include National University of Singapore.

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Patent

Robust local bit select circuitry to overcome timing mismatch

TL;DR: In this paper, an integrated circuit can include an SRAM array having cells arranged in columns, each column being connected to true and complementary read local bitlines RLBLT and RLBLC.
Patent

Burial type thermal conductor for semiconductor chip

TL;DR: In this paper, the authors proposed to reduce the operating temperature of each element by burying a thermal conductor into a semiconductor chip structure, forming a plurality of elements in the structure adjacent to the thermal conductor, and transferring heat that is generated in the elements through the thermal conductors.
Proceedings ArticleDOI

Deposition and simulation of refractory barriers into high aspect ratio re-entrant features using directional sputtering

TL;DR: In this paper, it is shown that it is possible to deposit by directional sputtering refractory barrier layers such as Ti, TiN and W over reentrant VLSI topography with aspect ratios greater than 6.
Proceedings ArticleDOI

Simulation of Nano-Scale Multi-Fingered PD/SOI MOSFETs Using the Boltzmann Transport Equation

TL;DR: In this paper, the Boltzmann Transport Equation (BTE) was used in the device layer, whereas in other regions of the device, such as the silicon substrate, buried oxide, gate oxide, poly-gate and metal interconnects, the Fourier heat conduction equation is employed.
Proceedings ArticleDOI

Statistical-aware designs for the nm era

TL;DR: This paper revisits key variability-driven design contributions, in terms of dual supply techniques, bitline clamping methods, and novel circuits with programmable capabilities, with particular emphasis on statistical exploration of the design space.