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2020 – today
- 2024
[i2]Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, S. Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda:
Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR abs/2405.04324 (2024)- 2022
- [c23]Saravanan Krishnan, Alex Mathai, Amith Singhee, Atul Kumar, Shivali Agarwal, Keerthi Narayan Raghunath, David Wenk:
Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization. COMAD/CODS 2022: 250-254 - [e1]Gargi Dasgupta, Yogesh Simmhan, Balaji Vasan Srinivasan, Sourav Bhowmick, Amith Singhee, Maya Ramanath, Nipun Batra, Abhinandan S. Prasad:
CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8 - 10, 2022. ACM 2022, ISBN 978-1-4503-8582-4 [contents] - 2021
- [c22]Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee:
Rightsizing Clusters for Time-Limited Tasks. CLOUD 2021: 619-624 - [c21]Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Pablo Loyola, Akash Nayak, Chander Govindarajan, Mudit Verma, Ashok Pon Kumar, Amith Singhee:
Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes. CLOUD 2021: 717-719 - [c20]Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee:
Robust resource demand estimation using hierarchical Bayesian model in a distributed service system. COMAD/CODS 2021: 350-358 - [c19]Shivali Agarwal, Raunak Sinha, Giriprasad Sridhara, Pratap Das, Utkarsh Desai, Srikanth Tamilselvam, Amith Singhee, Hiroaki Nakamuro:
Monolith to Microservice Candidates using Business Functionality Inference. ICWS 2021: 758-763 - [i1]Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee:
Rightsizing Clusters for Time-Limited Tasks. CoRR abs/2112.11597 (2021)
2010 – 2019
- 2018
- [c18]Surya Shravan Kumar Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, Marnik Vermeulen:
Enterprise Scale Privacy Aware Occupancy Sensing. EDGE 2018: 109-116 - 2016
- [j7]Amith Singhee, Ulrich Finkler, Steven Hirsch, Mark A. Lavin, Fook-Luen Heng, Ashok Pon Kumar, Jun Mei Qu, Etienne Pelletier:
A platform for the next generation of smarter energy applications. IBM J. Res. Dev. 60(1) (2016) - [j6]Amith Singhee, Zhiguo Li, Ali Koc, Haijing Wang, James P. Cipriani, Younghun Kim, Ashok Pon Kumar, Lloyd A. Treinish, Richard Mueller, Gerard Labut, Richard A. Foltman, Gary M. Gauthier:
OPRO: Precise emergency preparedness for electric utilities. IBM J. Res. Dev. 60(1) (2016) - [j5]Lloyd A. Treinish, James P. Cipriani, Anthony Praino, Amith Singhee, H. Wang, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, B. Chen:
Enabling coupled models to predict the business impact of weather on electric utilities. IBM J. Res. Dev. 60(1) (2016) - [c17]Megha Nawhal, Heena Bansal, Ashok Pon Kumar, Vikas Chandan, Sridhar R, Babitha Ramesh, Sunil Kumar Ghai, Harshad Khadilkar, Deva P. Seetharam, Zainul M. Charbiwala, Vijay Arya, Amith Singhee:
Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. ISGT Europe 2016: 1-6 - 2015
- [c16]Amith Singhee, Mark A. Lavin, Ulrich Finkler, Fook-Luen Heng, Jun Mei Qu, Steven Hirsch:
HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs. e-Energy 2015: 171-178 - 2012
- [c15]Wangyang Zhang, Amith Singhee, Jinjun Xiong
, Peter A. Habitz, Amol Joshi, Chandu Visweswariah, James Sundquist:
A dynamic method for efficient random mismatch characterization of standard cells. ICCAD 2012: 180-186 - [c14]Amith Singhee, Emrah Acar, Mohammad Imran Younus, Rama N. Singh, Aditya Bansal:
DRC-free high density layout exploration with layout morphing and patterning quality assessment, with application to SRAM. ISQED 2012: 470-476 - 2011
- [c13]Amith Singhee:
PTrace: Derivative-free local tracing of bicriterial design tradeoffs. ICCAD 2011: 498-502 - 2010
- [j4]Amith Singhee, Rob A. Rutenbar:
Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(11): 1763-1776 (2010) - [j3]Jiajing Wang, Amith Singhee, Rob A. Rutenbar, Benton H. Calhoun:
Two Fast Methods for Estimating the Minimum Standby Supply Voltage for Large SRAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(12): 1908-1920 (2010) - [c12]Amith Singhee, Pamela Castalino:
Pareto sampling: choosing the right weights by derivative pursuit. DAC 2010: 913-916
2000 – 2009
- 2009
- [b1]Amith Singhee, Rob A. Rutenbar:
Novel Algorithms for Fast Statistical Analysis of Scaled Circuits. Lecture Notes in Electrical Engineering 46, Springer 2009, ISBN 978-90-481-3099-3, pp. 1-173 [contents] - [j2]Amith Singhee, Rob A. Rutenbar:
Statistical Blockade: Very Fast Statistical Simulation and Modeling of Rare Circuit Events and Its Application to Memory Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(8): 1176-1189 (2009) - [c11]Aditya Bansal, Rama N. Singh, Rouwaida Kanj, Saibal Mukhopadhyay, Jin-Fuw Lee, Emrah Acar, Amith Singhee, Keunwoo Kim, Ching-Te Chuang, Sani R. Nassif, Fook-Luen Heng, Koushik K. Das:
Yield estimation of SRAM circuits using "Virtual SRAM Fab". ICCAD 2009: 631-636 - [c10]Saurabh K. Tiwary, Amith Singhee, Vikas Chandra:
Robust Circuit Design: Challenges and Solutions. VLSI Design 2009: 41-42 - 2008
- [j1]Amith Singhee, Claire Fang Fang, James D. Ma, Rob A. Rutenbar:
Probabilistic Interval-Valued Computation: Toward a Practical Surrogate for Statistics Inside CAD Tools. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27(12): 2317-2330 (2008) - [c9]Amith Singhee, Sonia Singhal, Rob A. Rutenbar:
Exploiting Correlation Kernels for Efficient Handling of Intra-Die Spatial Correlation, with Application to Statistical Timing. DATE 2008: 856-861 - [c8]Amith Singhee, Sonia Singhal, Rob A. Rutenbar:
Practical, fast Monte Carlo statistical static timing analysis: why and how. ICCAD 2008: 190-195 - [c7]Amith Singhee, Jiajing Wang, Benton H. Calhoun, Rob A. Rutenbar:
Recursive Statistical Blockade: An Enhanced Technique for Rare Event Simulation with Application to SRAM Circuit Design. VLSI Design 2008: 131-136 - 2007
- [c6]Amith Singhee, Rob A. Rutenbar:
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting. DAC 2007: 256-261 - [c5]Amith Singhee, Rob A. Rutenbar:
Statistical blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application. DATE 2007: 1379-1384 - [c4]Jiajing Wang, Amith Singhee, Rob A. Rutenbar, Benton H. Calhoun:
Statistical modeling for the minimum standby supply voltage of a full SRAM array. ESSCIRC 2007: 400-403 - [c3]Amith Singhee, Rob A. Rutenbar:
From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit Analysis. ISQED 2007: 685-692 - 2006
- [c2]Amith Singhee, Claire Fang Fang, James D. Ma, Rob A. Rutenbar:
Probabilistic interval-valued computation: toward a practical surrogate for statistics inside CAD tools. DAC 2006: 167-172 - 2002
- [c1]Hongzhou Liu, Amith Singhee, Rob A. Rutenbar, L. Richard Carley:
Remembrance of circuits past: macromodeling by data mining in large analog design spaces. DAC 2002: 437-442
Coauthor Index
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