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Memristors for neural branch prediction

Hebatallah Saadeldeen, Diana Franklin, Guoping Long, Charlotte Hill, Aisha Browne, Dmitri Strukov, Timothy Sherwood, Frederic T. Chong
2013 Proceedings of the ACM International Conference on Computing Frontiers - CF '13  
We present a limit study of an aggressive neural network application that has a high update rate and a strict latency requirement, analog neural branch predictor.  ...  In addition, these schemes allow for a fault-tolerant design as well.  ...  While neural branch predictors have been extensively studied and there exist efficient implementation in terms of power and latency [29] , we choose this application to serve as a limit study for memristor  ... 
doi:10.1145/2482767.2482801 dblp:conf/cf/SaadeldeenFLHBSSC13 fatcat:j32fothnmnh7pjv3cqi2lqwb7e

A Survey of Near-Data Processing Architectures for Neural Networks

Mehdi Hassanpour, Marc Riera, Antonio González
2022 Machine Learning and Knowledge Extraction  
In this paper, we present a survey of techniques for designing NDP architectures for NN.  ...  Finally, we discuss open challenges and future perspectives that need to be explored in order to improve and extend the adoption of NDP architectures for future computing platforms.  ...  For example, computer architecture researchers are exploring the integration of neural networks for branch prediction [10] , and also in computer system areas such as network protocols, data compression  ... 
doi:10.3390/make4010004 fatcat:5frcwe57drgihbgygiecoqqnvy

Applications and Techniques for Fast Machine Learning in Science [article]

Allison McCarn Deiana, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini (+74 others)
2021 arXiv   pre-print
The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for  ...  In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time experimental data processing  ...  High write endurance, high density (with vertical 3D-NAND-like integrated structure), and long retention are demonstrated in 1T Ferroelectric RAM devices.  ... 
arXiv:2110.13041v1 fatcat:cvbo2hmfgfcuxi7abezypw2qrm

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik (+35 others)
2022 Frontiers in Big Data  
The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for  ...  In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time experimental data processing  ...  High write endurance, high density (with vertical 3D-NAND-like integrated structure), and long retention are demonstrated in 1T Ferroelectric RAM devices.  ... 
doi:10.3389/fdata.2022.787421 pmid:35496379 pmcid:PMC9041419 fatcat:5w2exf7vvrfvnhln7nj5uppjga

2022 Roadmap on Neuromorphic Computing and Engineering [article]

Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano (+47 others)
2022 arXiv   pre-print
The Roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges.  ...  We hope that this Roadmap will be a useful resource to readers outside this field, for those who are just entering the field, and for those who are well established in the neuromorphic community. https  ...  This new class of extremely low-power and lowlatency artificial intelligence systems could, In a world where power-hungry deep learning techniques are becoming a commodity, and at the same time, environmental  ... 
arXiv:2105.05956v3 fatcat:pqir5infojfpvdzdwgmwdhsdi4

Magnetic Racetrack Memory: From Physics to the Cusp of Applications Within a Decade

Robin Blasing, Asif Ali Khan, Panagiotis Ch. Filippou, Chirag Garg, Fazal Hameed, Jeronimo Castrillon, Stuart S. P. Parkin
2020 Proceedings of the IEEE  
On the one hand, RTM has the potential for mass data storage with unlimited endurance using considerably less energy than today's technologies.  ...  We identify the remaining challenges and give an outlook on its future.  ...  ., read, write, shift, and leakage) and latency is evaluated.  ... 
doi:10.1109/jproc.2020.2975719 fatcat:usn4ypztv5drzid2y752qp46cm

Near-Memory Computing: Past, Present, and Future [article]

Gagandeep Singh, Lorenzo Chelini, Stefano Corda, Ahsan Javed Awan, Sander Stuijk, Roel Jordans, Henk Corporaal, Albert-Jan Boonstra
2019 arXiv   pre-print
In this paper, we survey the prior art on NMC across various dimensions (architecture, applications, tools, etc.) and identify the key challenges and open issues with future research directions.  ...  The conventional approach of moving data to the CPU for computation has become a significant performance bottleneck for emerging scale-out data-intensive applications due to their limited data reuse.  ...  ACKNOWLEDGMENT This work was performed in the framework of Horizon 2020 program for the project "Near-Memory Computing (Ne-MeCo)" and is funded by European Commission under Marie Sklodowska-Curie Innovative  ... 
arXiv:1908.02640v1 fatcat:nvppe5zx2vbb5k4phfi4o5qoqq

Intelligent Edge-Embedded Technologies for Digitising Industry [chapter]

Ovidiu Vermesan, Mario Diaz Nava
2022 Intelligent Edge-Embedded Technologies for Digitising Industry  
The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.  ...  The series includes research monographs, edited volumes, handbooks and textbooks, providing professionals, researchers, educators, and advanced students in the field with an invaluable insight into the  ...  Part of this work received funding from Germany's Federal Ministry for Economic Affairs and Energy under grant agreement No. 01MT20005 (BIG -The next big thing in Embodied Intelligence).  ... 
doi:10.13052/rp-9788770226103 fatcat:mgz277pmkbetvbpoaomoktzgzi

Neuropunk Revolution. Hacking Cognitive Systems towards Cyborgs 3.0 [article]

Max Talanov, Jordi Vallverdu, Andrew Adamatzky, Alexander Toschev, Alina Suleimanova, Alexey Leukhin, Ann Posdeeva, Yulia Mikhailova, Alice Rodionova, Alexey Mikhaylov, Alexander Serb, Sergey Shchanikov (+9 others)
2022 arXiv   pre-print
and computing in general.  ...  This new phenomenon has its foundations in advances in neuromorphic technologies including memristive and bio-plausible simulations, BCI, and neurointerfaces as well as unconventional approaches to AI  ...  The authors would like to thank the B-Rain Labs LLC company for supporting the work in neurosimulations and personally Andrew Kuptsov. Prof.  ... 
arXiv:2205.06538v1 fatcat:vegmu5373zblbbxorson5ggesy

Towards Oxide Electronics: a Roadmap

M. Coll, J. Fontcuberta, M. Althammer, M. Bibes, H. Boschker, A. Calleja, G. Cheng, M. Cuoco, R. Dittmann, B. Dkhil, I. El Baggari, M. Fanciulli (+44 others)
2019 Applied Surface Science  
A major challenge for 21st century scientists is finding novel strategies, concepts and materials for replacing silicon-based CMOS semiconductor technologies and guaranteeing a continued and steady technological  ...  Applied Surface Science 482 (2019) 1-93 48 materials develop-ment and understanding of pure spin current physics opens up a plethora of novel device concepts and opportunities for funda-mental studies.  ...  Josep Fonctuberta and Mariona Coll express their acknowledgement for the financial support from the Spanish Government, through the ''Severo Ochoa" Programme for Centres of Excellence in R&D (SEV-2015-  ... 
doi:10.1016/j.apsusc.2019.03.312 fatcat:3rqm2kwuv5gk3dpmb4sv7mg6ui

Hints and Principles for Computer System Design [article]

Butler Lampson
2021 arXiv   pre-print
It also gives some principles for system design that are more than just hints, and many examples of how to apply the ideas.  ...  This new long version of my 1983 paper suggests the goals you might have for your system -- Simple, Timely, Efficient, Adaptable, Dependable, Yummy (STEADY) -- and techniques for achieving them -- Approximate  ...  A CPU predicts whether a conditional branch will be taken; the check is to wait for the condition, the backup is to undo any state changes that have happened since the wrong prediction.  ... 
arXiv:2011.02455v3 fatcat:jolyz5lknjdbpjpxjcrx5rh6fa

Applications and Techniques for Fast Machine Learning in Science

Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik (+35 others)
2022
The material for the report builds on two workshops held by the Fast ML for Science community and covers three main areas: applications for fast ML across a number of scientific domains; techniques for  ...  In this community review report, we discuss applications and techniques for fast machine learning (ML) in science - the concept of integrating powerful ML methods into the real-time experimental data processing  ...  High write endurance, high density (with vertical 3D-NAND-like integrated structure), and long retention are demonstrated in 1T Ferroelectric RAM devices.  ... 
doi:10.26083/tuprints-00021245 fatcat:q5g26rdbfbfozmfcywdpew56be

2021 Roadmap on Neuromorphic Computing and Engineering [article]

Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Et Al., Maryland Shared Open Access Repository
2021
This roadmap envisages the potential applications of neuromorphic materials in cutting edge technologies and focuses on the design and fabrication of artificial neural systems.  ...  This will provide a roadmap to explore and consolidate new technology behind both present and future applications in many technologically relevant areas.  ...  This new class of extremely low-power and lowlatency artificial intelligence systems could, In a world where power-hungry deep learning techniques are becoming a commodity, and at the same time, environmental  ... 
doi:10.13016/m2n6ua-rira fatcat:vyxf3tz2g5cptgzrqctyzftocq

2022 roadmap on neuromorphic computing and engineering

Dennis Valbjørn Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano (+12 others)
2022
The roadmap is a collection of perspectives where leading researchers in the neuromorphic community provide their own view about the current state and the future challenges for each research area.  ...  The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the challenges and opportunities that the future holds in the major areas of neuromorphic  ...  Acknowledgements This work was partially based on results obtained from a project, JPNP16007, commissioned by the New Energy and Industrial Technology Development Organization (NEDO), and supported in  ... 
doi:10.3929/ethz-b-000529282 fatcat:x5s5lalqqbbn7fb6gmpqmbqkxu

Towards Oxide Electronics: a Roadmap [article]

M. Coll, J. Fontcuberta, M. Althammer, M. Bibes, H. Boschker, A. Calleja, G. Cheng, M. Cuoco, R. Dittmann, B. Dkhil, I. El Baggari, M. Fanciulli (+45 others)
2020
Josep Fonctuberta and Mariona Coll express their acknowledgement for the financial support from the Spanish Government, through the ''Severo Ochoa" Programme for Centres of Excellence in R&D (SEV-2015-  ...  Financial support from the Spanish Ministry of Economy and Competitiveness through the ''Severo Ochoa" Programme for Centres of Excellence in R& D (SEV-2015-0496), and projects MAT2015-71664-R and MAT2015  ...  The low write energy, fast read/write access time and high read/write cycle endurance are specific advantages over currently used flash memory devices (write/erase times in the is to ms range, typically  ... 
doi:10.34657/3597 fatcat:2w75pizz7bfo7bywgkpcevn43i