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Dive into the research topics where Gopinath Balakrishnan is active.

Publication


Featured researches published by Gopinath Balakrishnan.


international solid-state circuits conference | 2013

A 130.7mm 2 2-layer 32Gb ReRAM memory device in 24nm technology

Tz-yi Liu; Tian Hong Yan; Roy E. Scheuerlein; Yingchang Chen; Jeffrey Koon Yee Lee; Gopinath Balakrishnan; Gordon Yee; Henry Zhang; Alex Yap; Jingwen Ouyang; Takahiko Sasaki; Sravanti Addepalli; Ali Al-Shamma; Chin-Yu Chen; Mayank Gupta; Greg Hilton; Saurabh Joshi; Achal Kathuria; Vincent Lai; Deep Masiwal; Masahide Matsumoto; Anurag Nigam; Anil Pai; Jayesh Pakhale; Chang Hua Siau; Xiaoxia Wu; Ronald Yin; Liping Peng; Jang Yong Kang; Sharon Huynh

ReRAM has been considered as one of the potential technologies for the next-generation nonvolatile memory, given its fast access speed, high reliability, and multi-level capability. Multiple-layered architectures have been used for several megabit test-chips and memory macros [1-3]. This paper presents a MeOx-based 32Gb ReRAM test chip developed in 24nm technology.


IEEE Journal of Solid-state Circuits | 2014

A 130.7-

Tz-yi Liu; Tian Hong Yan; Roy E. Scheuerlein; Yingchang Chen; Jeffrey Koon Yee Lee; Gopinath Balakrishnan; Gordon Yee; Henry Zhang; Alex Yap; Jingwen Ouyang; Takahiko Sasaki; Ali Al-Shamma; Chin-Yu Chen; Mayank Gupta; Greg Hilton; Achal Kathuria; Vincent Lai; Masahide Matsumoto; Anurag Nigam; Anil Pai; Jayesh Pakhale; Chang Hua Siau; Xiaoxia Wu; Yibo Yin; Nicolas Nagel; Yoichiro Tanaka; Masaaki Higashitani; Tim Minvielle; Chandu Gorla; Takayuki Tsukamoto

A 32-Gb ReRAM test chip has been developed in a 24-nm process, with a diode as the selection device and metal oxide as the switching element. The memory array is constructed with cross-point architecture to allow multiple memory layers stacked above the supporting circuitry and minimize the circuit area overhead. Die efficiency is further improved by sharing wordlines and bitlines between adjacent blocks. As the number of sense amplifiers under the memory array is limited, a pipelined array control scheme is adopted to compensate the performance impact while utilizing the fast switching time of ReRAM cells. With the chip current consumption being dominated by the array leakage and sensitive to array bias and operating conditions, a charge pump stage control scheme is introduced to dynamically adapt to the operating conditions for optimal power consumption. Smart Read during sensing and leakage current compensation scheme during programming are applied to the large-block architecture and achieve a chip density that is several orders of magnitude higher than prior ReRAM developments.


Archive | 2009

\hbox{mm}^{2}

Luca G. Fasoli; Yuheng Zhang; Gopinath Balakrishnan


Archive | 2009

2-Layer 32-Gb ReRAM Memory Device in 24-nm Technology

Gopinath Balakrishnan; Jeffrey Koon Yee Lee; Yuheng Zhang; Tz-yi Liu; Luca G. Fasoli


Archive | 2012

Page buffer program command and methods to reprogram pages without re-inputting data to a memory device

Gopinath Balakrishnan; Luca G. Fasoli; Tz-yi Liu; Yuheng Zhang; Yan Li


Archive | 2011

PAGE REGISTER OUTSIDE ARRAY AND SENSE AMPLIFIER INTERFACE

Tianhong Yan; Gopinath Balakrishnan; Jeffrey Koon Yee Lee; Tz-yi Liu


Archive | 2013

Program cycle skip

Gopinath Balakrishnan; Tz-yi Liu; Henry Zhang


Archive | 2015

THREE DIMENSIONAL MEMORY SYSTEM WITH COLUMN PIPELINE

Gopinath Balakrishnan


Archive | 2014

Program cycle skip evaluation before write operations in non-volatile memory

Ariel Navon; Idan Alrod; Eran Sharon; Ishai Ilani; Tz-yi Liu; Tianhong Yan; Gopinath Balakrishnan


Archive | 2016

Regrouping and Skipping Cycles in Non-Volatile Memory

Chang Siau; Jeffrey Koon Yee Lee; Tianhong Yan; Yingchang Chen; Gopinath Balakrishnan; Tz-yi Liu

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