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Rekha Singhal
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2020 – today
- 2024
- [c75]Archisman Bhowmick
, Mayank Mishra
TASCA : Tool for Automatic SCalable Acceleration of ML pipelines✱. COMAD/CODS 2024: 514-518 - [c74]Ratul Kishore Saha, Dheeraj Chahal, Rekha Singhal, Manoj Nambiar:
Scalable and Cost-Effective Edge-Cloud Deployment for Multi-Object Tracking System. IC2E 2024: 211-220 - [c73]Aniruddha Mukherjee
Numin: Weighted-Majority Ensembles for Intraday Trading. ICAIF 2024: 703-710 - [c72]Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci:
Harmonized Spatial and Spectral Learning for Generalized Medical Image Segmentation. ICPR (13) 2024: 178-193 - [c71]Manju Ramesh, Chetan Phalak, Dheeraj Chahal, Rekha Singhal:
Optimal Mapping of Workflows Using Serverless Architecture in a Multi-Cloud Environment. ICSA-C 2024: 252-259 - [c70]Rajat Bhattacharjya
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. LASCAS 2024: 1-5 - [c69]Vishesh Mishra
Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers. VLSID 2024: 511-516 - [c68]Likhith Bandamudi
LLaMPS: Large Language Models Placement System. ICPE (Companion) 2024: 87-88 - [c67]Kuldeep Singh
SuperArch: Optimal Architecture Design for Cloud Deployment. ICPE (Companion) 2024: 91-92 - [c66]Ravi Kumar Singh
Leftovers for LLaMA. ICPE 2024: 201-210 - [c65]Chetan Phalak
Towards Geo-Distributed Training of ML Models in a Multi-Cloud Environment. ICPE (Companion) 2024: 211-217 - [i9]Vandan Gorade
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR abs/2401.10373 (2024) - [i8]Onkar Susladkar, Jishu Sen Gupta, Chirag Sehgal, Sparsh Mittal, Rekha Singhal:
MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion. CoRR abs/2410.07659 (2024) - 2023
- [j3]Vandan Gorade
PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis. Comput. Biol. Medicine 167: 107569 (2023) - [j2]Vishesh Mishra
VADF: Versatile Approximate Data Formats for Energy-Efficient Computing. ACM Trans. Embed. Comput. Syst. 22(5s): 111:1-111:21 (2023) - [c64]Onkar Susladkar
LiBERTy: A Novel Model for Natural Language Understanding. AIMLSystems 2023: 1:1-1:9 - [c63]Ratul Kishore Saha
CAMOT: Content Aware Multi Object Tracking. AIMLSystems 2023: 10:1-10:9 - [c62]Ashwin Krishnan
Hetero-Rec++: Modelling-based Robust and Optimal Deployment of Embeddings Recommendations. AIMLSystems 2023: 22:1-22:9 - [c61]Nupur Sumeet
Demo Paper: Hetero-Vis Framework for Optimized Heterogeneous Deployment of Convolutional Neural Networks. AIMLSystems 2023: 56:1-56:3 - [c60]Shailesh Shankar Deshpande
DAFTA: Distributed Architecture for Fusion-Transformer training Acceleration. BiDEDE@SIGMOD 2023: 6:1-6:9 - [c59]Aaditi Kapre, Shruti Kunde, Sparsh Mittal, Rekha Singhal:
RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing. IEEE Big Data 2023: 1168-1173 - [c58]Manju Ramesh, Dheeraj Chahal, Rekha Singhal:
Multicloud Deployment of AI Workflows Using FaaS and Storage Services. COMSNETS 2023: 269-277 - [c57]Chetan Phalak, Dheeraj Chahal, Rekha Singhal:
SIRM: Cost efficient and SLO aware ML prediction on Fog-Cloud Network. COMSNETS 2023: 825-829 - [c56]Ravi Kumar Singh
Scalable High-Performance Architecture for Evolving Recommender System. EuroMLSys@EuroSys 2023: 154-162 - [c55]Ravi Kumar Singh
Accelerating Model Training: Performance Antipatterns Eliminator Framework. EuroMLSys@EuroSys 2023: 163-170 - [c54]Chetan Phalak
mSIRM: Cost-Efficient and SLO-aware ML Load Balancing on Fog and Multi-Cloud Network. FlexScience@HPDC 2023: 19-26 - [c53]Manju Ramesh, Dheeraj Chahal, Chetan Phalak, Rekha Singhal:
Multi-Objective Workflow Scheduling to Serverless Architecture in a Multi-Cloud Environment. IC2E 2023: 173-183 - [c52]Onkar Susladkar
TPFNet: A Novel Text In-painting Transformer for Text Removal. ICDAR (6) 2023: 155-172 - [c51]Yash Khare, Kumud Lakara, Sparsh Mittal, Arvind Kaushik, Rekha Singhal:
SpotOn: A Gradient-based Targeted Data Poisoning Attack on Deep Neural Networks. ISQED 2023: 1-8 - [c50]Ananya Mantravadi, Dhruv Makwana
Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components Classification. ISQED 2023: 1-7 - [c49]Vishesh Mishra
Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications. ISQED 2023: 1-7 - [c48]Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks. WACV 2023: 5231-5240 - [c47]Varad Pimpalkhute, Shruti Kunde, Rekha Singhal:
GEMS: Generating Efficient Meta-Subnets. WACV 2023: 5304-5312 - [i7]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
- [c46]Chinmay Mahajan
Hetero-Rec: Optimal Deployment of Embeddings for High-Speed Recommendations. AIMLSystems 2022: 11:1-11:9 - [c45]Kavya Borra
Performance improvement of reinforcement learning algorithms for online 3D bin packing using FPGA. AIMLSystems 2022: 18:1-18:7 - [c44]Varad Pimpalkhute, Shruti Kunde, Rekha Singhal, Surya Palepu, Dheeraj Chahal, Amey Pandit:
MetaFaaS: learning-to-learn on serverless. BiDEDE@SIGMOD 2022: 1:1-1:9 - [c43]Chetan Phalak, Mayank Mishra, Shruti Kunde, Rekha Singhal, Sana Iqbal:
Metamodel driven acceleration of actor-based simulation. BiDEDE@SIGMOD 2022: 3:1-3:8 - [c42]Shruti Kunde, Sharod Roy Choudhury, Amey Pandit, Rekha Singhal:
Learning-to-learn efficiently with self-learning. DEEM@SIGMOD 2022: 8:1-8:11 - [c41]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 - [c40]Vishesh Mishra
MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications. ACM Great Lakes Symposium on VLSI 2022: 325-328 - [c39]Surya Chaitanya Palepu, Dheeraj Chahal, Manju Ramesh, Rekha Singhal:
Benchmarking the Data Layer Across Serverless Platforms. HiPS@HPDC 2022: 3-7 - [c38]Dheeraj Chahal, Surya Chaitanya Palepu, Rekha Singhal:
Scalable and Cost-effective Serverless Architecture for Information Extraction Workflows. HiPS@HPDC 2022: 15-23 - [c37]Dheeraj Chahal, Mayank Mishra, Surya Chaitanya Palepu, Ravi Kumar Singh, Rekha Singhal:
Pay-as-you-Train: Efficient ways of Serverless Training. IC2E 2022: 116-125 - [c36]Chetan Phalak, Dheeraj Chahal, Aniruddha Sen, Mayank Mishra, Rekha Singhal:
MAPLE: Model Aggregation and Prediction for Learned Ecosystem. ICPE (Companion) 2022: 17-18 - [i6]Onkar Susladkar, Dhruv Makwana
TPFNet: A Novel Text In-painting Transformer for Text Removal. CoRR abs/2210.14461 (2022) - 2021
- [c35]Mayank Mishra, Rekha Singhal, Ravi Singh
Towards Accelerating Offline RL based Recommender Systems. AIMLSystems 2021: 24:1-24:7 - [c34]Mayank Mishra, Archisman Bhowmick, Rekha Singhal:
FASCA: Framework for Automatic Scalable Acceleration of ML Pipeline. IEEE BigData 2021: 1867-1876 - [c33]Tejas Dubhir, Mayank Mishra, Rekha Singhal:
Benchmarking of Quantization Libraries in Popular Frameworks. IEEE BigData 2021: 3050-3055 - [c32]Dheeraj Chahal, Manju Ramesh, Ravi Ojha, Rekha Singhal:
High Performance Serverless Architecture for Deep Learning Workflows. CCGRID 2021: 790-796 - [c31]Shruti Kunde, Amey Pandit, Kushagra Mahajan, Monika Sharma, Rekha Singhal, Lovekesh Vig:
Data-Efficient Training of High-Resolution Images in Medical Domain. ESANN 2021 - [c30]Dheeraj Chahal, Surya Palepu
SLA-aware Workload Scheduling Using Hybrid Cloud Services. HiPS@HPDC 2021: 1-4 - [c29]Mayank Mishra, Rekha Singhal:
RUSLI: Real-time Updatable Spline Learned Index. aiDM@SIGMOD 2021: 1-8 - [c28]Shruti Kunde, Amey Pandit, Mayank Mishra, Rekha Singhal:
Distributed training for accelerating metalearning algorithms. BiDEDE@SIGMOD 2021: 2:1-2:6 - [c27]Dheeraj Chahal, Mayank Mishra, Surya Palepu
Performance and Cost Comparison of Cloud Services for Deep Learning Workload. ICPE (Companion) 2021: 49-55 - [i5]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) - [i4]Varad Pimpalkhute
Accelerating Gradient-based Meta Learner. CoRR abs/2110.14459 (2021) - 2020
- [c26]Shruti Kunde, Amey Pandit, Rekha Singhal:
Benchmarking performance of RaySGD and Horovod for big data applications. IEEE BigData 2020: 2757-2762 - [c25]Dheeraj Chahal, Ravi Ojha, Manju Ramesh, Rekha Singhal:
Migrating Large Deep Learning Models to Serverless Architecture. ISSRE Workshops 2020: 111-116 - [c24]Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta
Recommending in changing times. RecSys 2020: 714-719 - [c23]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 - [c22]Todor Ivanov, Rekha Singhal:
Tutorial on Benchmarking Big Data Analytics Systems. ICPE Companion 2020: 50-53
2010 – 2019
- 2019
- [c21]Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari:
Fast Online 'Next Best Offers' using Deep Learning. COMAD/CODS 2019: 217-223 - [c20]Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. ICDCS 2019: 1641-1651 - [c19]Rekha Singhal, Yaqi Zhang, Jeffrey D. Ullman, Raghu Prabhakar, Kunle Olukotun:
Efficient Multiway Hash Join on Reconfigurable Hardware. TPCTC 2019: 19-38 - [i3]Rekha Singhal, Nathan Zhang, Luigi Nardi, Muhammad Shahbaz, Kunle Olukotun:
Polystore++: Accelerated Polystore System for Heterogeneous Workloads. CoRR abs/1905.10336 (2019) - [i2]Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy Choudhury, Sanket Kadarkar, Rupinder Virk, Siddharth Verma, Vartika Tewari:
Fast Online "Next Best Offers" using Deep Learning. CoRR abs/1905.13368 (2019) - [i1]Kunle Olukotun, Raghu Prabhakar, Rekha Singhal, Jeffrey D. Ullman, Yaqi Zhang:
Efficient Multiway Hash Join on Reconfigurable Hardware. CoRR abs/1905.13376 (2019) - 2018
- [c18]Shruti Kunde, Chetan Phalak, Rekha Singhal, Manoj Nambiar:
ATA: Architecture-based technology advisor for functional application domains. SysCon 2018: 1-8 - [c17]Todor Ivanov, Rekha Singhal:
ABench: Big Data Architecture Stack Benchmark. ICPE Companion 2018: 13-16 - [c16]Rekha Singhal, Chetan Phalak, Praveen Singh:
SPARK Job Performance Analysis and Prediction Tool. ICPE Companion 2018: 49-50 - 2017
- [c15]Rekha Singhal, Praveen Singh:
Performance Assurance Model for Applications on SPARK Platform. TPCTC 2017: 131-146 - [c14]Rekha Singhal, Shruti Kunde:
Technology Migration Challenges in a Big Data Architecture Stack. ICPE 2017: 159-160 - [c13]Rekha Singhal, Chetan Phalak:
SQL Query Volume Performance Estimation Tool. ICPE 2017: 165-166 - 2016
- [j1]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) - [c12]Chetan Phalak, Rekha Singhal, Tanmay Jhunjhunwala:
Database Buffer Cache Simulator to Study and Predict Cache Behavior for Query Execution. DATA 2016: 71-78 - [c11]Rekha Singhal, Manoj Nambiar:
Predicting SQL Query Execution Time for Large Data Volume. IDEAS 2016: 378-385 - [c10]Rekha Singhal, Abhishek Verma:
Predicting Job Completion Time in Heterogeneous MapReduce Environments. IPDPS Workshops 2016: 17-27 - [c9]Rekha Singhal:
Tutorial on Challenges for Big Data Application Performance Tuning and Prediction. ICPE Companion 2016: 29 - 2015
- [c8]Amit Sangroya, Rekha Singhal:
Performance Assurance Model for HiveQL on Large Data Volume. HiPC Workshops 2015: 26-33 - [c7]Rekha Singhal, Dheeraj Chahal:
PABS 2015: 1st Workshop on Performance Analysis of Big Data Systems. ICPE 2015: 347-348 - [e1]Rekha Singhal, Dheeraj Chahal:
Proceedings of the 1st Workshop on Performance Analysis of Big Data Systems, PABS '15, Austin, Texas, USA, February 1, 2015. ACM 2015, ISBN 978-1-4503-3338-2 [contents] - 2014
- [c6]Rekha Singhal, Manoj Nambiar, Harish Sukhwani, Kishor S. Trivedi:
Performability Comparison of Lustre and HDFS for MR Applications. ISSRE Workshops 2014: 51 - 2013
- [c5]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 - 2012
- [c4]Rekha Singhal:
A Framework for Predicting Query Response Time. HPCC-ICESS 2012: 1137-1141 - 2010
- [c3]Rekha Singhal:
A national public healthcare framework using grid. A2CWiC 2010: 20:1-20:5 - [c2]Rekha Singhal, Shreya Bokare, Prasad Pawar:
Enterprise Storage Architecture for Optimal Business Continuity. DSDE 2010: 73-77
2000 – 2009
- 2007
- [c1]Ranjana Singh, Rekha Singhal:
On Use of Operation Semantics for Parallel iSCSI Protocol. SCSS (1) 2007: 433-440
Coauthor Index
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last updated on 2024-12-13 19:10 CET by the dblp team
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