Filters








6 Hits in 7.2 sec

Active timing margin management to improve microprocessor power efficiency [article]

Yazhou Zu, 0000-0003-0047-6976, Austin, The University Of Texas At, Austin, The University Of Texas At, Vijay Janapa Reddi
2019
For temperature variation, the thesis proposes a table-lookup based active timing margin mechanism, and an associated temperature management scheme to minimize power consumption.  ...  The key insight of this thesis is that in order to maximize active timing margin's efficiency enhancement benefits, synergistic management from processor architecture design and system software scheduling  ...  Chapter 3 Ti-states: Active Timing Margin Management in the Temperature Inversion Region Temperature has an intuitive impact on circuit speed, timing, and pipeline timing margin because CMOS transistor  ... 
doi:10.26153/tsw/1383 fatcat:putzrllx7ng3bkctqroevwdo44

ETP4HPC's Strategic Research Agenda for High-Performance Computing in Europe 4 [article]

Michael Malms, Marcin Ostasz, Maike Gilliot, Pascale Bernier-Bruna, Laurent Cargemel, Estela Suarez, Herbert Cornelius, Marc Duranton, Benny Koren, Pascale Rosse-Laurent, María S. Pérez-Hernández, Manolis Marazakis (+11 others)
2020 Zenodo  
The main objective of this SRA is to identify the European technology research priorities in the area of HPC and High-Performance Data Analytics (HPDA), which should be used by EuroHPC to build its 2021  ...  This new concept well reflects the main trend of this SRA – it is not only about developing HPC technology in order to build competitive European HPC systems but also about making our HPC solutions work  ...  ti-state storage for each cell).  ... 
doi:10.5281/zenodo.4605343 fatcat:lcsgbea5dzgdfmj5dkw6pr7vni

Science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems

Andrea C Ferrari, Francesco Bonaccorso, Vladimir Fal'ko, Konstantin S Novoselov, Stephan Roche, Peter Bøggild, Stefano Borini, Frank H L Koppens, Vincenzo Palermo, Nicola Pugno, José A Garrido, Roman Sordan (+52 others)
2015 Nanoscale  
We also define an extensive list of acronyms in an effort to standardize the nomenclature in this emerging field.  ...  We present the science and technology roadmap for graphene, related two-dimensional crystals, and hybrid systems, targeting an evolution in technology, that might lead to impacts and benefits reaching  ...  to simulate TI states.  ... 
doi:10.1039/c4nr01600a pmid:25707682 fatcat:hzfkhollfbbunbdroujkvqzxke

Deep Learning for Distant Speech Recognition [article]

Mirco Ravanelli
2017 arXiv   pre-print
in noisy and reverberant environments.  ...  The latter disturbances severely hamper the intelligibility of a speech signal, making Distant Speech Recognition (DSR) one of the major open challenges in the field.  ...  In "tri1 " 2.5k tied states with 15k gaussians are trained by exploiting a binary regression tree."  ... 
arXiv:1712.06086v1 fatcat:2b7ymqmihjan5nkxeqrxq52wki

Developing digital transformative capabilities of industrial businesses by leveraging the industrial internet of things

Swapan Ghosh
2019
The back-end model examined the influence of DTCs on dynamic capabilities, which may be indicative of digital transformation in a company. In the sec [...]  ...  Based on the literature review and industry review, in the first phase, two qualitative exploratory studies were performed.  ...  market positions of innovators and the imitators in that region, and 4) the development of the industry in that region.  ... 
doi:10.26174/thesis.lboro.8266127.v1 fatcat:q3hqsoqsjzhmhp4abp66h75gpm

OASIcs, Volume 74, SLATE'19, Complete Volume [article]

Ricardo Rodrigues, Jan Janoušek, Luís Ferreira, Luísa Coheur, Fernando Batista, Hugo Gonçalo Oliveira
2019
State-of-the-art speech recognition with sequence-to-sequence models. arXiv preprint, 2017. arXiv:1712.01769. R. Fernandes de Mello, M. Dais  ...  Also, the poor performance of the vanilla GMM-HMM model can be explained since the tied-state probabilities are highly dependent on the pronunciation and language models used in the traditional decoder  ...  The GMM-HMM is notoriously unsuccessful on the phoneme level which is why HMM-based engines use tied states to calculate the cost of substitutions to find the correct transcription in the pronunciation  ... 
doi:10.4230/oasics.slate.2019 fatcat:it3a3fn52bhrznke4mv6z7vrr4