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ORCIDManoj Nambiar 0001
Person information
- affiliation: Tata Consultancy Service Research, TCS, Mumbai, India
Other persons with the same name
- Manoj K. Nambiar 0002
![[0000-0002-8026-3235]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8026-3235")
— University of Guelph, Department of Geography, Environment and Geomatics, ON, Canada
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2020 – today
- 2024
[c59]Nirmal M. R, Sharma S. R. K. C. Yamijala, Kalpak Ghosh, Sumit Kumar, Manoj Nambiar:
Resource-Efficient Quantum Circuits for Molecular Simulations: A Case Study of Umbrella Inversion in Ammonia. COMSNETS 2024: 1034-1039- [c58]Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal:
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. LASCAS 2024: 1-5 - 2023
- [c57]Ratul Kishore Saha, Rekha Singhal, Manoj Nambiar:
CAMOT: Content Aware Multi Object Tracking. AIMLSystems 2023: 10:1-10:9 - [c56]Ashwin Krishnan, Manoj Nambiar, Rekha Singhal:
Hetero-Rec++: Modelling-based Robust and Optimal Deployment of Embeddings Recommendations. AIMLSystems 2023: 22:1-22:9 - [c55]Nistala Krishna, Ashwin Krishnan, Manoj Nambiar:
GPU Implementation: Accelerating 3D-Bin Packing Problem. AIMLSystems 2023: 44:1-44:5 - [c54]Nupur Sumeet, Manoj Nambiar, Shreeyans Singh, Rekha Singhal:
Demo Paper: Hetero-Vis Framework for Optimized Heterogeneous Deployment of Convolutional Neural Networks. AIMLSystems 2023: 56:1-56:3 - [c53]Vishesh Mishra, Sparsh Mittal, Rekha Singhal, Manoj Nambiar:
Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications. ISQED 2023: 1-7 - [i3]Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal:
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. CoRR abs/2312.00176 (2023) - 2022
- [c52]Chinmay Mahajan, Ashwin Krishnan, Manoj Nambiar, Rekha Singhal:
Hetero-Rec: Optimal Deployment of Embeddings for High-Speed Recommendations. AIMLSystems 2022: 11:1-11:9 - [c51]Kavya Borra, Ashwin Krishnan, Harshad Khadilkar, Manoj Nambiar, Ansuma Basumatary, Rekha Singhal, Arijit Mukherjee:
Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. AIMLSystems 2022: 18:1-18:7 - [c50]Piyush Manavar, Sharyu Vijay Mukhekar, Manoj Nambiar:
Performance Evaluation of gcForest inferencing on multi-core CPU and FPGA. AIMLSystems 2022: 20:1-20:7 - [c49]Nupur Sumeet, Karan Rawat, Manoj Nambiar, Rekha Singhal:
Hetero-Vis: A Framework for Latency Optimized Heterogeneous Deployment of Convolutional Neural Networks. Euro-Par Workshops 2022: 171-183 - [c48]Sayantan Pramanik, M. Girish Chandra, C. V. Sridhar, Aniket Kulkarni, Prabin R. Sahoo, Chethan D. V. Vishwa, Hrishikesh Sharma, Vidyut Navelkar, Sudhakara Poojary, Pranav Shah, Manoj Nambiar:
A Quantum-Classical Hybrid Method for Image Classification and Segmentation. SEC 2022: 450-455 - [c47]Nupur Sumeet, Karan Rawat, Manoj Nambiar:
High-Performance Deployment of Text Detection Model: Compression and Hardware Platform considerations. ISPASS 2022: 159-161 - [c46]Nupur Sumeet, Deeksha Deeksha, Manoj Nambiar:
HLS_Profiler: Non-Intrusive Profiling tool for HLS based Applications. ICPE (Companion) 2022: 19-20 - [c45]Ashwin Krishnan, Manoj Nambiar, Nupur Sumeet, Sana Iqbal:
Performance Model and Profile Guided Design of a High-Performance Session Based Recommendation Engine. ICPE 2022: 133-144 - [c44]Nupur Sumeet, Karan Rawat, Manoj Nambiar:
Performance Evaluation of GraphCore IPU-M2000 Accelerator for Text Detection Application. ICPE (Companion) 2022: 145-152 - [c43]Nupur Sumeet, Deeksha Deeksha, Manoj Nambiar:
HLS_Profiler: Non-Intrusive Profiling Tool for HLS based Applications. ICPE 2022: 187-198 - [i2]Nirmal M. R, Shampa Sarkar, Manoj Nambiar:
An Interface for Variational Quantum Eigensolver based Energy (VQE-E) and Force (VQE-F) Calculator to Atomic Simulation Environment (ASE). CoRR abs/2209.13876 (2022) - 2021
- [c42]Nupur Sumeet, Manoj Nambiar:
HLS_PRINT: High Performance Logging Framework on FPGA. FPL 2021: 390 - [c41]Nupur Sumeet, Manoj Nambiar:
HLS_PRINT: High Performance Logging Framework on FPGA. ICPE 2021: 145-152 - [i1]Piyush Manavar, Manoj Nambiar, Nupur Sumeet, Rekha Singhal, Sharod Choudhary, Amey Pandit:
Experience with PCIe streaming on FPGA for high throughput ML inferencing. CoRR abs/2110.11719 (2021) - 2020
- [c40]Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta:
Recommending in changing times. RecSys 2020: 714-719 - [c39]Rekha Singhal, Dheeraj Chahal, Shruti Kunde, Mayank Mishra, Manoj Nambiar:
A Vision on Accelerating Enterprise IT System 2.0. DEEM@SIGMOD 2020: 8:1-8:9 - [c38]Dheeraj Chahal, Ravi Ojha, Sharod Roy Choudhury, Manoj Nambiar:
Migrating a Recommendation System to Cloud Using ML Workflow. ICPE Companion 2020: 1-4
2010 – 2019
- 2019
- [c37]Dhaval Shah, Manoj Nambiar:
Determining Web Service Dependencies From Limited TCP Packets. COMSNETS 2019: 157-163 - [c36]Dhaval Shah, Manoj Nambiar:
Lightweight Web Service Dependency Tool. COMSNETS 2019: 538-540 - [c35]Manoj Nambiar:
Performance Engineering Roles in Industry: Challenges and Knowledge/Skills/Experience Required to meet them. ICPE Companion 2019: 63-64 - [c34]Dheeraj Chahal, Benny Mathew, Manoj Nambiar:
Simulation Based Job Scheduling Optimization for Batch Workloads. ICPE 2019: 313-320 - 2018
- [j5]Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar:
QMLE: A Methodology for Statistical Inference of Service Demands from Queueing Data. ACM Trans. Model. Perform. Evaluation Comput. Syst. 3(4): 17:1-17:28 (2018) - [c33]Mayank Mishra, Shruti Kunde, Manoj Nambiar:
Cracking the monolith: challenges in data transitioning to cloud native architectures. ECSA (Companion) 2018: 35:1-35:4 - [c32]Dheeraj Chahal, Benny Mathew, Manoj Nambiar:
Predicting the Runtime of Memory Intensive Batch Workloads. ICPP Workshops 2018: 45:1-45:8 - [c31]Rishikesh Bansod, Sanket Kadarkar, Rupinder Virk, Mehul Raval, Rushikesh Rashinkar, Manoj Nambiar:
High Performance Distributed In-Memory Architectures for Trade Surveillance System. ISPDC 2018: 101-108 - [c30]Shruti Kunde, Chetan Phalak, Rekha Singhal, Manoj Nambiar:
ATA: Architecture-based technology advisor for functional application domains. SysCon 2018: 1-8 - [e2]Katinka Wolter, William J. Knottenbelt, André van Hoorn, Manoj Nambiar:
Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018. ACM 2018 [contents] - [e1]Katinka Wolter, William J. Knottenbelt, André van Hoorn, Manoj Nambiar:
Companion of the 2018 ACM/SPEC International Conference on Performance Engineering, ICPE 2018, Berlin, Germany, April 09-13, 2018. ACM 2018 [contents] - 2017
- [j4]Ajay Kattepur, Manoj Nambiar:
Service demand modeling and performance prediction with single-user tests. Perform. Evaluation 110: 1-21 (2017) - [c29]Ravi Ojha, Prasad Pawar, Sonia Gupta, Michael Klemm, Manoj Nambiar:
Performance Optimization of OpenFOAM* on Clusters of Intel® Xeon Phi (TM) Processors. HiPC Workshops 2017: 51-59 - [c28]Mehul Nalin Vora, Manoj Karunakaran Nambiar:
Workload Dependent Fault Analysis. ISSRE Workshops 2017: 222-227 - [c27]Dheeraj Chahal, Mukund Kumar, Manoj Karunakaran Nambiar:
PerfExt++: Performance Extrapolation of IO Intensive Workloads. ICPE 2017: 171-172 - [c26]Dheeraj Chahal, Manoj Nambiar:
Cloning IO Intensive Workloads Using Synthetic Benchmark. ICPE 2017: 317-320 - 2016
- [j3]Ajay Kattepur, Manoj Nambiar:
Performance Modeling of Multi-tiered Web Applications with Varying Service Demands. Int. J. Netw. Comput. 6(1): 64-86 (2016) - [j2]Manoj Nambiar, Ajay Kattepur, Gopal Bhaskaran, Rekha Singhal, Subhasri Duttagupta:
Model Driven Software Performance Engineering: Current Challenges and Way Ahead. SIGMETRICS Perform. Evaluation Rev. 43(4): 53-62 (2016) - [j1]Michael Grottke, Dong Seong Kim, Rajesh K. Mansharamani, Manoj Nambiar, Roberto Natella, Kishor S. Trivedi:
Recovery From Software Failures Caused by Mandelbugs. IEEE Trans. Reliab. 65(1): 70-87 (2016) - [c25]Ajay Kattepur, Manoj Nambiar:
Service Demand Modeling and Prediction with Single-user Performance Tests. COMPUTE 2016: 31-41 - [c24]Rekha Singhal, Manoj Nambiar:
Predicting SQL Query Execution Time for Large Data Volume. IDEAS 2016: 378-385 - [c23]Subhasri Duttagupta, Mukund Kumar, Ritesh Ranjan, Manoj Nambiar:
Performance Prediction of IoT Application: an Experimental Analysis. IOT 2016: 43-51 - [c22]Weikun Wang, Giuliano Casale, Ajay Kattepur, Manoj Nambiar:
Maximum Likelihood Estimation of Closed Queueing Network Demands from Queue Length Data. ICPE 2016: 3-14 - [c21]Dheeraj Chahal, Rupinder Virk, Manoj Nambiar:
Performance Extrapolation of IO Intensive Workloads: Work in Progress. ICPE 2016: 105-108 - 2015
- [c20]Ajay Kattepur, Manoj Nambiar:
Performance Modeling of Multi-tiered Web Applications with Varying Service Demands. IPDPS Workshops 2015: 415-424 - 2014
- [c19]Rekha Singhal, Manoj Nambiar, Harish Sukhwani, Kishor S. Trivedi:
Performability Comparison of Lustre and HDFS for MR Applications. ISSRE Workshops 2014: 51 - [c18]Subhasri Duttagupta, Rupinder Virk, Manoj Nambiar:
Predicting performance in the presence of software and hardware resource bottlenecks. SPECTS 2014: 542-549 - 2013
- [c17]Rekha Singhal, Manoj Nambiar:
Measurement Based Model to Study the Affect of Increase in Data Size on Database Query Response Time. Int. CMG Conference 2013 - [c16]Benny Mathew, Manoj K. Nambiar:
A Tutorial On Modelling Call Centres Using Discrete Event Simulation. ECMS 2013: 315-321 - 2012
- [c15]Manoj K. Nambiar:
Virtual Memory Subsystem Performance: Benchmarking and a Case Study. Int. CMG Conference 2012 - [c14]Subhasri Duttagupta, Manoj Nambiar:
Maximum throughput computation of an application in a multi-tier environment. SPECTS 2012: 1-7 - 2011
- [c13]Nishant Agrawal, Himanshu K. Kumar, Manoj Nambiar:
Poster: Performance scaling analysis of Messaging Application. Int. CMG Conference 2011 - [c12]Hemanta Kumar Kalita, Manoj Nambiar:
Designing WANem : A Wide Area Network emulator tool. COMSNETS 2011: 1-4 - [c11]Subhasri Duttagupta, Manoj Nambiar:
Performance Extrapolation for Load Testing Results of Mixture of Applications. EMS 2011: 424-429 - [c10]Manoj K. Nambiar, Hemanta Kumar Kalita:
Design of a new algorithm for WAN disconnection emulation and implementing it in WANem. ICWET 2011: 376-381 - [c9]Kishor S. Trivedi, Rajesh K. Mansharamani, Dong Seong Kim, Michael Grottke, Manoj Nambiar:
Recovery from Failures Due to Mandelbugs in IT Systems. PRDC 2011: 224-233 - 2010
- [c8]Amol Khanapurkar, Suresh B. Malan, Manoj Nambiar:
A Framework For Automated System Performance Testing. Int. CMG Conference 2010 - [c7]Manoj Nambiar, Rajesh K. Mansharamani:
Performance Engineering of a Trading Exchange's Risk Management System. Int. CMG Conference 2010 - [c6]Manoj Nambiar, Mehul Raval, Rajesh K. Mansharamani:
Data Synchronization Speed Up Under High Concurrency. Int. CMG Conference 2010
2000 – 2009
- 2009
- [c5]Manoj K. Nambiar, Sricharan Samudrala, Sundar Narayanan:
Experiences with UNIX IPC for Low Latency Messaging solutions. Int. CMG Conference 2009 - [c4]Rajesh K. Mansharamani, Arunava Bag, Kishor Gujarathi, Kunal Gupta, Amol Khanapurkar, Manoj Nambiar, Mehul Raval:
DCPE Rollout: Scaling Performance Engineering Training and Certification across a Very Large Enterprise. CSEE&T 2009: 263-270 - 2008
- [c3]Manoj Nambiar, Hemanta Kumar Kalita:
"A Simple, Efficient ICMP Based Method of Network Characterization". Int. CMG Conference 2008: 645-654 - [c2]Hitesh Shetty, Manoj Nambiar, Hemanta Kumar Kalita:
Analysis and application of conditional software rejuvenation - A new approach. ISSRE Workshops 2008: 1-5 - [c1]Manoj Nambiar, Hemanta Kumar Kalita:
Performance Monitoring and Analysis of a Large Online Transaction Processing System. SIPEW 2008: 303-313
Coauthor Index
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