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A survey on design and application of open-channel solid-state drives Review Article
Junchao CHEN, Guangyan ZHANG, Junyu WEI,gyzh@tsinghua.edu.cn
Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 5, Pages 637-658 doi: 10.1631/FITEE.2200317
Keywords: Domain-specific storage Flash translation layer Garbage collection Internal parallelism Open-channel
Cylindrical particulate internal flows: A review
Lizhong HUANG, Xiang GAO, Jianzhong LIN
Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4, Pages 385-393 doi: 10.1007/s11465-012-0354-z
The study of cylindrical particulate internal flows has wide industrial applicability hence receivedThis article reviews the cylindrical particulate internal flows over the past twenty years.
Keywords: cylindrical particulate flow internal flow
Current progress on internal medicine in China—2006 Part I
YAO Dingkang, ZHU Liang, ZHAO Xue, MEI Changlin
Frontiers of Medicine 2007, Volume 1, Issue 3, Pages 235-247 doi: 10.1007/s11684-007-0046-y
Keywords: internal medicine Chinaºs internal respiration gastroenterology cardiology
Shiyan ZHENG
Frontiers in Energy 2011, Volume 5, Issue 4, Pages 367-375 doi: 10.1007/s11708-011-0170-x
Keywords: internal combustion engine irreversibility power output efficiency optimization
An Empirical Study on the Internal Control Efficiency of Listed Engineering Companies
Zhi-wen Wang,Jing Tong
Frontiers of Engineering Management 2015, Volume 2, Issue 2, Pages 159-164 doi: 10.15302/J-FEM-2015026
Keywords: internal control efficiency board of directors independent directors audit committee
Embankment dam foundation analysis for the decrease of internal erosion likelihood
Marc SMITH
Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4, Pages 431-436 doi: 10.1007/s11709-012-0183-5
Keywords: seepage detection geostatistical analysis dam monitoring internal erosion LIDAR survey
Advances in polishing of internal structures on parts made by laser-based powder bed fusion
Frontiers of Mechanical Engineering 2023, Volume 18, Issue 1, doi: 10.1007/s11465-022-0724-0
Keywords: laser-based powder bed fusion polishing internal structures surface quality surface features post
Yuzhang WANG, Shilie WENG, Yiwu WENG
Frontiers in Energy 2011, Volume 5, Issue 2, Pages 195-206 doi: 10.1007/s11708-011-0148-8
Keywords: planar solid oxide fuel cell (SOFC) direct internal reforming chemical reaction methane electrochemical
Liang SUN, Can WANG, Min JI, Fen WANG
Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3, Pages 481-487 doi: 10.1007/s11783-011-0341-3
Keywords: internal electrolysis ultrasonic pharmaceutical wastewater biodegradability acute biotoxicity
Influence of temperature on cam-tappet lubrication in an internal combustion engine
CHANG Qiuying, YANG Peiran, WANG Jing, CHEN Quanshi
Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4, Pages 489-492 doi: 10.1007/s11465-007-0085-8
Keywords: coefficient combustion isothermal elastohydrodynamic temperature thickness
Typical off-design analytical performances of internal combustion engine cogeneration
Xiaohong HE, Ruixian CAI
Frontiers in Energy 2009, Volume 3, Issue 2, Pages 184-192 doi: 10.1007/s11708-009-0007-z
Keywords: internal combustion engine (ICE) cogeneration heat recovery steam generator (HRSG) off-design superheated
Reaction kinetics and internal diffusion of Zhundong char gasification with CO
Yun Liu, Jiangyuan Qu, Xuehui Wu, Kai Zhang, Yuan Zhang
Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 2, Pages 373-383 doi: 10.1007/s11705-020-1949-2
Keywords: coal char CO2 gasification internal diffusion pore evolution
Current progress on internal medicine in China—2006 Part II
YAO Dingkang, ZHU Liang, YU Renqian, MEI Changlin
Frontiers of Medicine 2007, Volume 1, Issue 4, Pages 343-351 doi: 10.1007/s11684-007-0066-7
Keywords: endocrinology rheumatology hematology nephrology representative
Strategies and Principles of Distributed Machine Learning on Big Data Review
Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei
Engineering 2016, Volume 2, Issue 2, Pages 179-195 doi: 10.1016/J.ENG.2016.02.008
The rise of big data has led to new demands for machine learning (ML) systems to learn complex models, with millions to billions of parameters, that promise adequate capacity to digest massive datasets and offer powerful predictive analytics (such as high-dimensional latent features, intermediate representations, and decision functions) thereupon. In order to run ML algorithms at such scales, on a distributed cluster with tens to thousands of machines, it is often the case that significant engineering efforts are required—and one might fairly ask whether such engineering truly falls within the domain of ML research. Taking the view that “big” ML systems can benefit greatly from ML-rooted statistical and algorithmic insights—and that ML researchers should therefore not shy away from such systems design—we discuss a series of principles and strategies distilled from our recent efforts on industrial-scale ML solutions. These principles and strategies span a continuum from application, to engineering, and to theoretical research and development of big ML systems and architectures, with the goal of understanding how to make them efficient, generally applicable, and supported with convergence and scaling guarantees. They concern four key questions that traditionally receive little attention in ML research: How can an ML program be distributed over a cluster? How can ML computation be bridged with inter-machine communication? How can such communication be performed? What should be communicated between machines? By exposing underlying statistical and algorithmic characteristics unique to ML programs but not typically seen in traditional computer programs, and by dissecting successful cases to reveal how we have harnessed these principles to design and develop both high-performance distributed ML software as well as general-purpose ML frameworks, we present opportunities for ML researchers and practitioners to further shape and enlarge the area that lies between ML and systems.
Keywords: Machine learning Artificial intelligence big data Big model Distributed systems Principles Theory Data-parallelism Model-parallelism
Numerical study of internal flow field and flow passage improvement of an inlet particle separator
Florian PAOLI, Tong WANG
Frontiers in Energy 2011, Volume 5, Issue 4, Pages 386-397 doi: 10.1007/s11708-011-0156-8
Keywords: streamlines pressure losses flow passage improvement inlet particle separator (IPS)
Title Author Date Type Operation
A survey on design and application of open-channel solid-state drives
Junchao CHEN, Guangyan ZHANG, Junyu WEI,gyzh@tsinghua.edu.cn
Journal Article
Cylindrical particulate internal flows: A review
Lizhong HUANG, Xiang GAO, Jianzhong LIN
Journal Article
Current progress on internal medicine in China—2006 Part I
YAO Dingkang, ZHU Liang, ZHAO Xue, MEI Changlin
Journal Article
Unified cycle model of a class of internal combustion engines and their optimum performance characteristics
Shiyan ZHENG
Journal Article
An Empirical Study on the Internal Control Efficiency of Listed Engineering Companies
Zhi-wen Wang,Jing Tong
Journal Article
Embankment dam foundation analysis for the decrease of internal erosion likelihood
Marc SMITH
Journal Article
Advances in polishing of internal structures on parts made by laser-based powder bed fusion
Journal Article
investigation of the chemical and electrochemical characteristics of planar solid oxide fuel cell with direct internal
Yuzhang WANG, Shilie WENG, Yiwu WENG
Journal Article
enhancement and acute biotoxicity removal through the treatment of pharmaceutical wastewater using a combined internal
Liang SUN, Can WANG, Min JI, Fen WANG
Journal Article
Influence of temperature on cam-tappet lubrication in an internal combustion engine
CHANG Qiuying, YANG Peiran, WANG Jing, CHEN Quanshi
Journal Article
Typical off-design analytical performances of internal combustion engine cogeneration
Xiaohong HE, Ruixian CAI
Journal Article
Reaction kinetics and internal diffusion of Zhundong char gasification with CO
Yun Liu, Jiangyuan Qu, Xuehui Wu, Kai Zhang, Yuan Zhang
Journal Article
Current progress on internal medicine in China—2006 Part II
YAO Dingkang, ZHU Liang, YU Renqian, MEI Changlin
Journal Article
Strategies and Principles of Distributed Machine Learning on Big Data
Eric P. Xing,Qirong Ho,Pengtao Xie,Dai Wei
Journal Article