Anand Seshadri
Texas Instruments
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Publication
Featured researches published by Anand Seshadri.
IEEE Journal of Solid-state Circuits | 2004
Hugh P. McAdams; Randy Acklin; Terry Blake; Xiao-Hong Du; Jarrod Eliason; John Y. Fong; William Francis Kraus; David Liu; Sudhir K. Madan; Ted Moise; Sreedhar Natarajan; Ning Qian; Yunchen Qiu; K. Remack; J. Rodriguez; John Roscher; Anand Seshadri; Scott R. Summerfelt
A low-voltage (1.3 V) 64-Mb ferroelectric random access memory (FRAM) using a one-transistor one-capacitor (1T1C) cell has been fabricated using a state-of-the-art 130-nm transistor and a five-level Cu/flouro-silicate glass (FSG) interconnect process. Only two additional masks are required for integration of the ferroelectric module into a single-gate-oxide low-voltage logic process. Novel overwrite sense amplifier and programmable ferroelectric reference generation schemes are employed for fast reliable read-write cycle operation. Address access time for the memory is less than 30 ns while consuming less than 0.8 mW/MHz at 1.37 V. An embedded FRAM (eFRAM) density of 1.13 Mb/mm/sup 2/ is achieved with a cell size of 0.54 /spl mu/m/sup 2/ and capacitor size of 0.25 /spl mu/m/sup 2/.
IEEE Transactions on Electron Devices | 2011
Paul E. Nicollian; Riza Tamer Cakici; Anand T. Krishnan; Vijay Reddy; Anand Seshadri
In state-of-the-art technologies, the currents in all n-channel field-effect transistor device terminals can be severely degraded when a soft or hard dielectric breakdown event occurs from gate-to-drain. The equivalent circuits that are commonly used for modeling gate-to-drain breakdown do not adequately capture all of the salient features of post breakdown device characteristics and can yield results that are overly optimistic. We present an equivalent circuit comprehending both soft and hard breakdown that can be used to accurately model gate, drain, and source currents following a breakdown event from gate-to-drain.
symposium on vlsi circuits | 2003
Hugh P. McAdams; Randy Acklin; Terry Blake; J. Fong; D. Liu; Sudhir K. Madan; Ted Moise; Sreedhar Natarajan; N. Qian; Y. Qui; John Roscher; Anand Seshadri; Scott R. Summerfelt; X. Du; J. Eliason; W. Kraus; R. Lanham; F. Li; C. Pietrzyk; J. Rickes
A low-voltage (1.3V), 64 Mbit Ferroelectric Random Access Memory using a 1-transistor, 1-capacitor (1T1C) cell is demonstrated. This is the largest FRAM memory demonstrated to date. The memory is constructed using a state-of-the-art 130 nm transistor and a five-level Cu/FSG interconnect process. Only two additional masks are required for integration of the ferroelectric module into a single-gate oxide, low-voltage logic process. Address access time for the memory is less than 30 ns while consuming 0.57 mW/MHz at 1.37 V. An eFRAM density of 1.13 Mb/mm/sup 2/ is achieved with a cell size of 0.54 /spl mu/m/sup 2/ and capacitor size of 0.25 /spl mu/m/sup 2/.
international solid-state circuits conference | 1997
Masashi Hashimoto; Keiichiro Abe; Anand Seshadri
A dual sense amplifier array architecture (DSSA) amenable to a logic-process-compatible 1T DRAM eliminates the penalty that can be imposed by any two-bank-architecture-based DRAM. A 32k/spl times/16 eDRAM test chip is used to verify the architecture. The chip is implemented in a 0.5 /spl mu/m single-poly, triple-metal CMOS process. The DRAM array cell capacitance and bitline parasitic capacitance are 23 fF and 550 fF, respectively. The DRAM cell is 33 /spl mu/m/sup 2/ (7.38/spl times/4.5 /spl mu/m/sup 2/).
2008 IEEE Dallas Circuits and Systems Workshop: System-on-Chip - Design, Applications, Integration, and Software | 2008
Anand Seshadri; Theodore W. Houston
An accelerated Monte Carlo technique is proposed to analyze the dynamic stability margin of SRAM cells. This technique greatly improves accuracy of the desired failure probabilities by, not approximating or making assumptions of fail tail distributions, enhancing fail rate with acceleration, while reducing computations by several orders of magnitude. An application comparing three 6 T SRAM cells and a novel 10 T SRAM cell at the 32 nm node is discussed.
Archive | 2013
Anand Seshadri; Dharin N. Shah; Parvinder Kumar Rana; Wah Kit Loh
Archive | 2010
Anand Seshadri
Archive | 2002
Anand Seshadri; Terence G. W. Blake; Jarrod Eliason
Archive | 1999
Anand Seshadri; Bob D. Strong
Archive | 2004
Sudhir K. Madan; Sung-Wei Lin; Hugh P. McAdams; Anand Seshadri; Jarrod Randall Eliason