Sparsh Mittal

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Jeffrey S. VetterOak Ridge National LaboratoryVerified email at acm.org
Farooq Ahmad KhandayUniversity of Kashmir, Senior Member IEEE, MC observer COST Action CA15225 of European UnionVerified email at kashmiruniversity.ac.in
ONKAR SUSLADKARyellow.aiVerified email at yellow.ai
Gayatri DeshmukhVishwakarma Institute of Information TechnologyVerified email at viit.ac.in
MUBASHIR A. KHARADIUniversity of KashmirVerified email at kashmiruniversity.net
R Sai Chandra TejaCo-Founder: Green PMU Semi, Independent ResearcherVerified email at alumni.iith.ac.in
Vandan GoradeNorthwestern UniversityVerified email at northwestern.edu
Ananya MantravadiNorth Carolina State UniversityVerified email at ncsu.edu
Murali Krishna EmaniComputer Scientist at Argonne National LaboratoryVerified email at anl.gov
Arun SomaniProfessor of electrical and Computer Engineering, Iowa State UniversityVerified email at iastate.edu
Krishna Teja Chitty-VenkataPostdoctoral Researcher, Argonne National LaboratoryVerified email at anl.gov
Emil VataiResearch Scientist, RIKEN R-CCSVerified email at riken.jp
Artur PodobasAssociate Professor at KTH, Royal Institute of TechnologyVerified email at podobas.net
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at acm.org
Jens DomkeRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of TechnologyVerified email at riken.jp
Mohamed WahibRIKEN Center for Computational Science (R-CCS)Verified email at acm.org
Balazs GerofiRIKEN, IntelVerified email at riken.jp
Bheemarjuna Reddy TammaProfessor, Dept. of Computer Science and Engg, IIT Hyderabad, IndiaVerified email at cse.iith.ac.in
Yash KhareAssemblyAI Inc.Verified email at assemblyai.com
chirag sehgalStudent at Delhi Technological UniversityVerified email at dtu.ac.in

Sparsh Mittal

Associate Professor at ECE and Mehta Family School of DS&AI, IIT Roorkee

Verified email at iitr.ac.in - Homepage

Deep learning Computer vision Machine learning Computer architecture non-volatile memory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey of techniques for approximate computing S Mittal ACM Computing Surveys (CSUR) 48 (4), 1-33, 2016	1286	2016
A survey of CPU-GPU heterogeneous computing techniques S Mittal, JS Vetter ACM Computing Surveys (CSUR) 47 (4), 1-35, 2015	729	2015
A survey of FPGA-based accelerators for convolutional neural networks S Mittal Neural computing and applications 32 (4), 1109-1139, 2020	442	2020
A survey of software techniques for using non-volatile memories for storage and main memory systems S Mittal, JS Vetter IEEE Transactions on Parallel and Distributed Systems 27 (5), 1537-1550, 2015	381	2015
A survey on optimized implementation of deep learning models on the nvidia jetson platform S Mittal Journal of Systems Architecture 97, 428-442, 2019	328	2019
A survey of methods for analyzing and improving GPU energy efficiency S Mittal, JS Vetter ACM Computing Surveys (CSUR) 47 (2), 1-23, 2014	291	2014
A survey of techniques for improving energy efficiency in embedded computing systems S Mittal International Journal of Computer Aided Engineering and Technology 6 (4 …, 2014	266	2014
A survey of ReRAM-based architectures for processing-in-memory and neural networks S Mittal Machine learning and knowledge extraction 1 (1), 75-114, 2018	216	2018
A survey of techniques for optimizing deep learning on GPUs S Mittal, S Vaishay Journal of Systems Architecture 99, 101635, 2019	205	2019
Destiny: A tool for modeling emerging 3d nvm and edram caches M Poremba, S Mittal, D Li, JS Vetter, Y Xie 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2015	202	2015
A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-volatile On-chip Caches S Mittal, JS Vetter, D Li IEEE Transactions on Parallel and Distributed Systems (TPDS), 1-1, 2014	200	2014
A survey on modeling and improving reliability of DNN algorithms and accelerators S Mittal Journal of Systems Architecture 104, 101689, 2020	163	2020
A survey of architectural techniques for improving cache power efficiency S Mittal Sustainable Computing: Informatics and Systems 4 (1), 33-43, 2014	163	2014
Opportunities for nonvolatile memory systems in extreme-scale high-performance computing JS Vetter, S Mittal Computing in Science & Engineering 17 (2), 73-82, 2015	149	2015
A survey of recent prefetching techniques for processor caches S Mittal ACM Computing Surveys (CSUR) 49 (2), 1-35, 2016	146	2016
A survey of architectural approaches for data compression in cache and main memory systems S Mittal, JS Vetter IEEE Transactions on Parallel and Distributed Systems 27 (5), 1524-1536, 2015	137	2015
A survey of deep learning techniques for vehicle detection from UAV images S Srivastava, S Narayan, S Mittal Journal of Systems Architecture 117, 102152, 2021	132	2021
A survey of techniques for modeling and improving reliability of computing systems S Mittal, JS Vetter IEEE Transactions on Parallel and Distributed Systems 27 (4), 1226-1238, 2015	109	2015
Ulsam: Ultra-lightweight subspace attention module for compact convolutional neural networks R Saini, NK Jha, B Das, S Mittal, CK Mohan Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020	107	2020
A survey of techniques for architecting and managing asymmetric multicore processors S Mittal ACM Computing Surveys (CSUR) 48 (3), 1-38, 2016	107	2016

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