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Dive into the research topics where Sumeet Katariya is active.

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Featured researches published by Sumeet Katariya.


international conference on computer design | 2010

Minimizing total area of low-voltage SRAM arrays through joint optimization of cell size, redundancy, and ECC

Shi-Ting Zhou; Sumeet Katariya; Hamid Reza Ghasemi; Stark C. Draper; Nam Sung Kim

The increasing power consumption of processors has made power reduction a first-order priority in their design. Voltage scaling is one of the most successful power-reduction techniques introduced to date, but it is limited to some minimum voltage, VDDMIN, below which all components cannot operate reliably. In particular, ever-increasing process variability due to shrinking feature size further degrades the low-voltage reliability of, e.g., SRAM cells. Larger SRAM cells are less sensitive to process variability and their use would allow a reduction in VDDMIN. However, large-scale memory structures, e.g., last-level caches (LLCs) that often determine the VDDMIN of processors, cannot afford to use such large SRAM cells due to the resulting increase in die area. In this paper we propose a joint optimization of LLC cell size, number of redundant cells, and ECC (error-correction coding) strength to minimize total SRAM area while meeting target yields and VDDMIN. The use of redundant cells and ECC enable the use of smaller cell sizes while maintaining target yields and VDDMIN. Smaller cell sizes more than make up for the extra cells required by redundancy and ECC. We first assess each approach individually, i.e., only redundancy or ECC for various cell sizes. We then consider a combined approach and observe significant improvements. For example, in 32nm technology our combined approach yields a 27% reduction in total SRAM area (including redundant cells) when targeting a VDDMIN of 600mV.


IEEE Transactions on Very Large Scale Integration Systems | 2012

Analyzing the Impact of Joint Optimization of Cell Size, Redundancy, and ECC on Low-Voltage SRAM Array Total Area

Nam Sung Kim; Stark C. Draper; Shi Ting Zhou; Sumeet Katariya; Hamid Reza Ghasemi; Taejoon Park

The increasing power consumption of processors has made power reduction a first-order priority in processor design. Voltage scaling is one of the most powerful power-reduction techniques introduced to date, but is limited to some minimum voltage VDDMIN. Below VDDMIN on-chip SRAM cells cannot all operate reliably due to increased process variability with technology scaling. The use of larger SRAM cells, which are less sensitive to process variability, allows a reduction in VDDMIN. However, since the large-scale memory structures such as last-level caches (LLCs) often determine the VDDMIN of processors, these structures cannot afford to use large SRAM cells due to the resulting increase in die area. In this paper we first propose a joint optimization of LLC cell size, the number of redundant cells, and the strength of error-correction coding (ECC) to minimize total SRAM area while meeting yield and VDDMIN targets. The joint use of redundant cells and ECC enables the use of smaller cell sizes while maintaining design targets. Smaller cell sizes more than make up for the extra cells required by redundancy and ECC. In 32-nm technology our joint approach yields a 27% reduction in total SRAM area (including the extra cells) when targeting 90% yield and 600 mV VDDMIN. Second, we demonstrate that the ECC used to repair defective cells can be combined with a simple architectural technique, which can also fix particle-induced soft errors, without increasing ECC strength or processor runtime.


international conference on artificial intelligence and statistics | 2015

Sparse Dueling Bandits

Kevin G. Jamieson; Sumeet Katariya; Atul Deshpande; Robert D. Nowak


Archive | 2009

Apparatus for efficiently coupling light from a light source into a thin object

Udayan Kanade; Pushkar Apte; Ruby Rama Praveen; Sanat Ganu; Sumeet Katariya; Alok Deshpande; Parag Khairnar


international conference on machine learning | 2016

DCM bandits: learning to rank with multiple clicks

Sumeet Katariya; Branislav Kveton; Csaba Szepesvári; Zheng Wen


Archive | 2009

Photoluminescent Light Source

Udayan Kanade; Pushkar Apte; Ruby Rama Praveen; Sanat Ganu; Sumeet Katariya; Alok Deshpande; Parag Khairnar


international conference on artificial intelligence and statistics | 2017

Stochastic Rank-1 Bandits

Sumeet Katariya; Branislav Kveton; Csaba Szepesvári; Claire Vernade; Zheng Wen


international joint conference on artificial intelligence | 2017

Bernoulli Rank-1 Bandits for Click Feedback.

Sumeet Katariya; Branislav Kveton; Csaba Szepesvári; Claire Vernade; Zheng Wen


Archive | 2009

Directional Linear Light Source

Udayan Kanade; Pushkar Apte; Ruby Rama Praveen; Sanat Ganu; Sumeet Katariya; Alok Deshpande; Parag Khairnar


Archive | 2009

Polarized Linear Light Source

Udayan Kanade; Pushkar Apte; Ruby Rama Praveen; Sanat Ganu; Sumeet Katariya; Alok Deshpande; Parag Khairnar

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Alan Malek

University of California

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Hamid Reza Ghasemi

University of Wisconsin-Madison

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Robert D. Nowak

University of Wisconsin-Madison

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Claire Vernade

Université Paris-Saclay

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