Results 81 to 90 of about 1,987,105 (236)

Evaluating Asymmetric Multicore Systems-on-Chip using Iso-Metrics [PDF]

, 2015
The end of Dennard scaling has pushed power consumption into a first order concern for current systems, on par with performance. As a result, near-threshold voltage computing (NTVC) has been proposed as a potential means to tackle the limited cooling ...
Chalios, Charalampos, Nikolopoulos, Dimitrios S., Quintana-Orti, Enrique S.   +2 more
core   +1 more source

Research in nonlinear structural and solid mechanics [PDF]

Recent and projected advances in applied mechanics, numerical analysis, computer hardware and engineering software, and their impact on modeling and solution techniques in nonlinear structural and solid mechanics are discussed.
Mccomb, H. G., Jr., Noor, A. K.
core   +1 more source

Goal-Oriented RE for E-Services [PDF]

, 2004
Current research in service-oriented computing (SoC) is mainly\ud about technology standards for SoC and the design of software components that\ud implement these standards. In this paper we investigate the problem of\ud requirements engineering (RE) for
Eck, Pascal van, Gordijn, Jaap, Wieringa, Roel, Zlatev, Zlatko   +3 more
core   +2 more sources

SCRAM: Software configuration and management for the LHC Computing Grid project

, 2003
Recently SCRAM (Software Configuration And Management) has been adopted by the applications area of the LHC computing grid project as baseline configuration management and build support infrastructure tool.
Ashby, S., Wellisch, J. P., Williams, C.
core  

Autonomic Road Transport Support Systems [PDF]

, 2016
The work on Autonomic Road Transport Support (ARTS) presented here aims at meeting the challenge of engineering autonomic behavior in Intelligent Transportation Systems (ITS) by fusing research from the disciplines of traffic engineering and autonomic
Klgl, Franziska, Kotsialos, Apostolos, McCluskey, Thomas, Mller, Jrg, Rana, Omer, Schumann, Ren   +5 more
core  

Recursive quantum repeater networks

, 2011
Internet-scale quantum repeater networks will be heterogeneous in physical technology, repeater functionality, and management. The classical control necessary to use the network will therefore face similar issues as Internet data transmission.
Beckman, Ben-Or, Benjamin, Benjamin, Bennett, Bennett, Briegel, Buhrman, Calderbank, Childress, Childress, Choi, Chuang, Clare HORSMAN, Deutsch, Dijkstra, Draper, Dur, Dur, Dur, Ekert, Fowler, Fowler, Furusawa, Gaertner, Gottesman, Greenberger, Hartmann, Hoyer, Jiang, Joe TOUCH, Kielpinski, Kimble, Kruszynska, Ladd, Ladd, Lalire, Lloyd, Loock, Markham, Meter, Meter, Meter, Meter, Meyer, Munro, Munro, Olmschenk, Perlman, Raussendorf, Raussendorf, Raussendorf, Rodney VAN METER, Shannon, Spiller, Steane, Steane, Tani, Touch, Van, Vedral, Wang, Yamaguchi   +62 more
core   +1 more source

Large-scale neuromorphic computing systems

Journal of Neural Engineering, 2016
Neuromorphic computing covers a diverse range of approaches to information processing all of which demonstrate some degree of neurobiological inspiration that differentiates them from mainstream conventional computing systems.
S. Furber
semanticscholar   +1 more source

Computational thinking and thinking about computing

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2008
Computational thinking will influence everyone in every field of endeavour. This vision poses a new educational challenge for our society, especially for our children.
Jeannette M. Wing
semanticscholar   +1 more source

Affective Computing: Recent Advances, Challenges, and Future Trends

Intelligent Computing
Affective computing is a rapidly growing multidisciplinary field that encompasses computer science, engineering, psychology, neuroscience, and other related disciplines.
Guanxiong Pei, Haiying Li, Yandi Lu, Yanlei Wang, Shizhen Hua, Taihao Li   +5 more
doaj   +1 more source

Finding a Roadmap to achieve Large Neuromorphic Hardware Systems

Frontiers in Neuroscience, 2013
Neuromorphic systems are gaining increasing importance in an era where CMOS digital computing techniques are meeting hard physical limits. These silicon systems mimic extremely energy efficient neural computing structures, potentially both for solving ...
Jennifer eHasler, Harry Bo Marr
doaj   +1 more source