Amith Singhee - RankMe

36 papers A* 4A 7B 2Misc 2Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization. CoRR Saravanan Krishnan, Amith Singhee, Keerthi Narayan Raghunath, Alex Mathai, Atul Kumar, David Wenk
2025	—	`conf`	Keynote Talk: AI for Enterprise Software. ISEC Amith Singhee
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR 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, Syed 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
2022	—	`ed.`	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 COMAD/CODS Gargi Dasgupta, Yogesh Simmhan, Balaji Vasan Srinivasan, Sourav S. Bhowmick, Amith Singhee, Maya Ramanath, Nipun Batra, Abhinandan S. Prasad
2022	—	`conf`	Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization. COMAD/CODS Saravanan Krishnan, Alex Mathai, Amith Singhee, Atul Kumar, Shivali Agarwal, Keerthi Narayan Raghunath, David Wenk
2021	B	`conf`	Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes. CLOUD Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Pablo Loyola, Akash Nayak, Chander Govindarajan, Mudit Verma, Ashok Pon Kumar, Amith Singhee
2021	A	`conf`	Monolith to Microservice Candidates using Business Functionality Inference. ICWS Shivali Agarwal, Raunak Sinha, Giriprasad Sridhara, Pratap Das, Utkarsh Desai, Srikanth Tamilselvam, Amith Singhee, Hiroaki Nakamuro
2021	B	`conf`	Rightsizing Clusters for Time-Limited Tasks. CLOUD Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee
2021	J	`jnl`	Rightsizing Clusters for Time-Limited Tasks. CoRR Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee
2021	—	`conf`	Robust resource demand estimation using hierarchical Bayesian model in a distributed service system. COMAD/CODS Sumanta Mukherjee, Krishnasuri Narayanam, Nupur Aggarwal, Digbalay Bose, Amith Singhee
2018	—	`conf`	Enterprise Scale Privacy Aware Occupancy Sensing. EDGE Surya Shravan Kumar Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, Marnik Vermeulen
2016	J	`jnl`	A platform for the next generation of smarter energy applications. IBM J. Res. Dev. Amith Singhee, Ulrich Finkler, Steven Hirsch, Mark A. Lavin, Fook-Luen Heng, Ashok Pon Kumar, Jun Mei Qu, Etienne Pelletier
2016	J	`jnl`	Enabling coupled models to predict the business impact of weather on electric utilities. IBM J. Res. Dev. Lloyd A. Treinish, James P. Cipriani, Anthony Praino, Amith Singhee, H. Wang, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, B. Chen
2016	J	`jnl`	OPRO: Precise emergency preparedness for electric utilities. IBM J. Res. Dev. 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
2016	—	`conf`	Unlocking the hidden potential of data towards efficient buildings: Findings from a pilot study in India. ISGT Europe 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
2015	—	`conf`	HAMS: A Memory-Efficient Representation of Power Grids Using Hierarchical and Multi-Scenario Graphs. e-Energy Amith Singhee, Mark A. Lavin, Ulrich Finkler, Fook-Luen Heng, Jun Mei Qu, Steven Hirsch
2012	A	`conf`	A dynamic method for efficient random mismatch characterization of standard cells. ICCAD Wangyang Zhang, Amith Singhee, Jinjun Xiong, Peter A. Habitz, Amol Joshi, Chandu Visweswariah, James Sundquist
2012	—	`conf`	DRC-free high density layout exploration with layout morphing and patterning quality assessment, with application to SRAM. ISQED Amith Singhee, Emrah Acar, Mohammad Imran Younus, Rama N. Singh, Aditya Bansal
2011	A	`conf`	PTrace: Derivative-free local tracing of bicriterial design tradeoffs. ICCAD Amith Singhee
2010	A*	`conf`	Pareto sampling: choosing the right weights by derivative pursuit. DAC Amith Singhee, Pamela Castalino
2010	J	`jnl`	Two Fast Methods for Estimating the Minimum Standby Supply Voltage for Large SRAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jiajing Wang, Amith Singhee, Rob A. Rutenbar, Benton H. Calhoun
2010	J	`jnl`	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. Amith Singhee, Rob A. Rutenbar
2009	—	`book`	Novel Algorithms for Fast Statistical Analysis of Scaled Circuits Amith Singhee, Rob A. Rutenbar
2009	Misc	`conf`	Robust Circuit Design: Challenges and Solutions. VLSI Design Saurabh K. Tiwary, Amith Singhee, Vikas Chandra
2009	J	`jnl`	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. Amith Singhee, Rob A. Rutenbar
2009	A	`conf`	Yield estimation of SRAM circuits using "Virtual SRAM Fab". ICCAD 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
2008	A	`conf`	Exploiting Correlation Kernels for Efficient Handling of Intra-Die Spatial Correlation, with Application to Statistical Timing. DATE Amith Singhee, Sonia Singhal, Rob A. Rutenbar
2008	A	`conf`	Practical, fast Monte Carlo statistical static timing analysis: why and how. ICCAD Amith Singhee, Sonia Singhal, Rob A. Rutenbar
2008	J	`jnl`	Probabilistic Interval-Valued Computation: Toward a Practical Surrogate for Statistics Inside CAD Tools. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Amith Singhee, Claire Fang Fang, James D. Ma, Rob A. Rutenbar
2008	Misc	`conf`	Recursive Statistical Blockade: An Enhanced Technique for Rare Event Simulation with Application to SRAM Circuit Design. VLSI Design Amith Singhee, Jiajing Wang, Benton H. Calhoun, Rob A. Rutenbar
2007	A*	`conf`	Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting. DAC Amith Singhee, Rob A. Rutenbar
2007	—	`conf`	From Finance to Flip Flops: A Study of Fast Quasi-Monte Carlo Methods from Computational Finance Applied to Statistical Circuit Analysis. ISQED Amith Singhee, Rob A. Rutenbar
2007	A	`conf`	Statistical blockade: a novel method for very fast Monte Carlo simulation of rare circuit events, and its application. DATE Amith Singhee, Rob A. Rutenbar
2007	—	`conf`	Statistical modeling for the minimum standby supply voltage of a full SRAM array. ESSCIRC Jiajing Wang, Amith Singhee, Rob A. Rutenbar, Benton H. Calhoun
2006	A*	`conf`	Probabilistic interval-valued computation: toward a practical surrogate for statistics inside CAD tools. DAC Amith Singhee, Claire Fang Fang, James D. Ma, Rob A. Rutenbar
2002	A*	`conf`	Remembrance of circuits past: macromodeling by data mining in large analog design spaces. DAC Hongzhou Liu, Amith Singhee, Rob A. Rutenbar, L. Richard Carley