Sparsh Mittal 个人学术档案

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	总计	2019 年至今
引用	8198	5864
h 指数	43	33
i10 指数	98	79

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Jeffrey S. VetterOak Ridge National Laboratory在 acm.org 的电子邮件经过验证
Farooq Ahmad KhandayUniversity of Kashmir, Senior Member IEEE, MC observer COST Action CA15225 of European Union在 kashmiruniversity.ac.in 的电子邮件经过验证
MUBASHIR A. KHARADIUniversity of Kashmir在 kashmiruniversity.net 的电子邮件经过验证
ONKAR SUSLADKARyellow.ai在 yellow.ai 的电子邮件经过验证
Gayatri DeshmukhVishwakarma Institute of Information Technology在 viit.ac.in 的电子邮件经过验证
R Sai Chandra TejaCo-Founder: Green PMU Semi, Independent Researcher在 alumni.iith.ac.in 的电子邮件经过验证
Ananya MantravadiNorth Carolina State University在 ncsu.edu 的电子邮件经过验证
Vandan GoradeNorthwestern University在 northwestern.edu 的电子邮件经过验证
Bheemarjuna Reddy TammaProfessor, Dept. of Computer Science and Engg, IIT Hyderabad, India在 cse.iith.ac.in 的电子邮件经过验证
Murali Krishna EmaniComputer Scientist at Argonne National Laboratory在 anl.gov 的电子邮件经过验证
Arun SomaniProfessor of electrical and Computer Engineering, Iowa State University在 iastate.edu 的电子邮件经过验证
Krishna Teja Chitty-VenkataPostdoctoral Researcher, Argonne National Laboratory在 anl.gov 的电子邮件经过验证
Emil VataiResearch Scientist, RIKEN R-CCS在 riken.jp 的电子邮件经过验证
Artur PodobasAssociate Professor at KTH, Royal Institute of Technology在 podobas.net 的电子邮件经过验证
Satoshi MatsuokaRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of Technology在 acm.org 的电子邮件经过验证
Jens DomkeRIKEN Center for Computational Science (R-CCS) / Tokyo Institute of Technology在 riken.jp 的电子邮件经过验证
Mohamed WahibRIKEN Center for Computational Science (R-CCS)在 acm.org 的电子邮件经过验证
Balazs GerofiRIKEN, Intel在 riken.jp 的电子邮件经过验证
Yash KhareAssemblyAI Inc.在 assemblyai.com 的电子邮件经过验证
Manoj NambiarTCS Research在 tcs.com 的电子邮件经过验证

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Sparsh Mittal

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

在 iitr.ac.in 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A survey of techniques for approximate computing S Mittal ACM Computing Surveys (CSUR) 48 (4), 1-33, 2016	1215	2016
A survey of CPU-GPU heterogeneous computing techniques S Mittal, JS Vetter ACM Computing Surveys (CSUR) 47 (4), 1-35, 2015	669	2015
A survey of FPGA-based accelerators for convolutional neural networks S Mittal Neural computing and applications 32 (4), 1109-1139, 2020	391	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	366	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	277	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	269	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	255	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	197	2018
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	192	2014
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	189	2015
A survey of techniques for optimizing deep learning on GPUs S Mittal, S Vaishay Journal of Systems Architecture 99, 101635, 2019	177	2019
A survey of architectural techniques for improving cache power efficiency S Mittal Sustainable Computing: Informatics and Systems 4 (1), 33-43, 2014	159	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	135	2015
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	132	2015
A survey of recent prefetching techniques for processor caches S Mittal ACM Computing Surveys (CSUR) 49 (2), 1-35, 2016	131	2016
A survey on modeling and improving reliability of DNN algorithms and accelerators S Mittal Journal of Systems Architecture 104, 101689, 2020	126	2020
A survey of techniques for architecting and managing asymmetric multicore processors S Mittal ACM Computing Surveys (CSUR) 48 (3), 1-38, 2016	106	2016
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	103	2021
A survey of architectural techniques for managing process variation S Mittal ACM Computing Surveys (CSUR) 48 (4), 1-29, 2016	102	2016
Power management techniques for data centers: A survey S Mittal arXiv preprint arXiv:1404.6681, 2014	102	2014

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