Amith Singhee

According to our database, Amith Singhee authored at least 31 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

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

CoRR, 2024

2022

Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization.

Saravanan Krishnan, Alex Mathai, Amith Singhee, Atul Kumar, Shivali Agarwal, Keerthi Narayan Raghunath, David Wenk

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

Monolith to Microservice Candidates using Business Functionality Inference.

Shivali Agarwal, Raunak Sinha, Giriprasad Sridhara, Pratap Das, Utkarsh Desai, Srikanth Tamilselvam, Amith Singhee, Hiroaki Nakamuro

Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Robust resource demand estimation using hierarchical Bayesian model in a distributed service system.

Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee

Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes.

Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Pablo Loyola, Akash Nayak, Chander Govindarajan, Mudit Verma, Ashok Pon Kumar, Amith Singhee

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

Rightsizing Clusters for Time-Limited Tasks.

Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2018

Enterprise Scale Privacy Aware Occupancy Sensing.

Surya Shravan Kumar Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, Marnik Vermeulen

Proceedings of the 2018 IEEE International Conference on Edge Computing, 2018

2016

Enabling coupled models to predict the business impact of weather on electric utilities.

Lloyd A. Treinish, James P. Cipriani, Anthony Praino, Amith Singhee, H. Wang, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, B. Chen

IBM J. Res. Dev., 2016

OPRO: Precise emergency preparedness for electric utilities.

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

IBM J. Res. Dev., 2016

A platform for the next generation of smarter energy applications.

Amith Singhee, Ulrich Finkler, Steven Hirsch, Mark A. Lavin, Fook-Luen Heng, Ashok Pon Kumar, Jun Mei Qu, Etienne Pelletier

IBM J. Res. Dev., 2016

Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India.

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

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016

2015

HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs.

Amith Singhee, Mark A. Lavin, Ulrich Finkler, Fook-Luen Heng, Jun Mei Qu, Steven Hirsch

Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2012

DRC-free high density layout exploration with layout morphing and patterning quality assessment, with application to SRAM.

Amith Singhee, Emrah Acar, Mohammad Imran Younus, Rama N. Singh, Aditya Bansal

Proceedings of the Thirteenth International Symposium on Quality Electronic Design, 2012

A dynamic method for efficient random mismatch characterization of standard cells.

Wangyang Zhang, Amith Singhee, Jinjun Xiong, Peter A. Habitz, Amol Joshi, Chandu Visweswariah, James Sundquist

Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

2011

PTrace: Derivative-free local tracing of bicriterial design tradeoffs.

Amith Singhee

Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011

2010

Two Fast Methods for Estimating the Minimum Standby Supply Voltage for Large SRAMs.

Jiajing Wang, Amith Singhee, Rob A. Rutenbar, Benton H. Calhoun

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010

Why Quasi-Monte Carlo is Better Than Monte Carlo or Latin Hypercube Sampling for Statistical Circuit Analysis.

Amith Singhee, Rob A. Rutenbar

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010

Pareto sampling: choosing the right weights by derivative pursuit.

Amith Singhee, Pamela Castalino

Proceedings of the 47th Design Automation Conference, 2010

2009

Novel Algorithms for Fast Statistical Analysis of Scaled Circuits

Amith Singhee, Rob A. Rutenbar

Lecture Notes in Electrical Engineering 46, Springer, ISBN: 978-90-481-3099-3, 2009

Statistical Blockade: Very Fast Statistical Simulation and Modeling of Rare Circuit Events and Its Application to Memory Design.

Amith Singhee, Rob A. Rutenbar

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

Robust Circuit Design: Challenges and Solutions.

Saurabh K. Tiwary, Amith Singhee, Vikas Chandra

Proceedings of the VLSI Design 2009: Improving Productivity through Higher Abstraction, 2009

Yield estimation of SRAM circuits using "Virtual SRAM Fab".

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

Proceedings of the 2009 International Conference on Computer-Aided Design, 2009

2008

Probabilistic Interval-Valued Computation: Toward a Practical Surrogate for Statistics Inside CAD Tools.

Amith Singhee, Claire Fang Fang, James D. Ma, Rob A. Rutenbar

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2008

Recursive Statistical Blockade: An Enhanced Technique for Rare Event Simulation with Application to SRAM Circuit Design.

Amith Singhee, Jiajing Wang, Benton H. Calhoun, Rob A. Rutenbar

Proceedings of the 21st International Conference on VLSI Design (VLSI Design 2008), 2008

Practical, fast Monte Carlo statistical static timing analysis: why and how.

Amith Singhee, Sonia Singhal, Rob A. Rutenbar

Proceedings of the 2008 International Conference on Computer-Aided Design, 2008

Exploiting Correlation Kernels for Efficient Handling of Intra-Die Spatial Correlation, with Application to Statistical Timing.

Amith Singhee, Sonia Singhal, Rob A. Rutenbar

Proceedings of the Design, Automation and Test in Europe, 2008

2007

From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit Analysis.

Amith Singhee, Rob A. Rutenbar

Proceedings of the 8th International Symposium on Quality of Electronic Design (ISQED 2007), 2007

Statistical modeling for the minimum standby supply voltage of a full SRAM array.

Jiajing Wang, Amith Singhee, Rob A. Rutenbar, Benton H. Calhoun

Proceedings of the 33rd European Solid-State Circuits Conference, 2007

Statistical blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application.

Amith Singhee, Rob A. Rutenbar

Proceedings of the 2007 Design, Automation and Test in Europe Conference and Exposition, 2007

Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting.

Amith Singhee, Rob A. Rutenbar

Proceedings of the 44th Design Automation Conference, 2007

2002

Remembrance of circuits past: macromodeling by data mining in large analog design spaces.

Hongzhou Liu, Amith Singhee, Rob A. Rutenbar, L. Richard Carley

Proceedings of the 39th Design Automation Conference, 2002