Preliminary Application of Deep Learning to Design Space Exploration

2018 ◽  
Author(s):  
Kallol Roy ◽  
Hakki Torun Mert ◽  
Madhavan Swaminathan
Keyword(s):  
Deep Learning ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Preliminary Application

Learned cardinality estimation

2021 ◽  
Vol 15 (1) ◽  
pp. 85-97
Author(s):  
Ji Sun ◽  
Jintao Zhang ◽  
Zhaoyan Sun ◽  
Guoliang Li ◽  
Nan Tang
Keyword(s):  
Deep Learning ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Data Distribution ◽  
Learning Models ◽  
Cardinality Estimation ◽  
Comprehensive Comparison ◽  
Query Optimizers ◽  
Relational Table

Cardinality estimation is core to the query optimizers of DBMSs. Non-learned methods, especially based on histograms and samplings, have been widely used in commercial and open-source DBMSs. Nevertheless, histograms and samplings can only be used to summarize one or few columns, which fall short of capturing the joint data distribution over an arbitrary combination of columns, because of the oversimplification of histograms and samplings over the original relational table(s). Consequently, these traditional methods typically make bad predictions for hard cases such as queries over multiple columns, with multiple predicates, and joins between multiple tables. Recently, learned cardinality estimators have been widely studied. Because these learned estimators can better capture the data distribution and query characteristics, empowered by the recent advance of (deep learning) models, they outperform non-learned methods on many cases. The goals of this paper are to provide a design space exploration of learned cardinality estimators and to have a comprehensive comparison of the SOTA learned approaches so as to provide a guidance for practitioners to decide what method to use under various practical scenarios.

Design Space Exploration of a 512KB STT-Assisted SOT MRAM Cache

2020 ◽  
Author(s):  
Adrian G. Caburnay ◽  
Jonathan Gabriel S.A. Reyes ◽  
Anastacia P. Ballesil-Alvarez ◽  
Maria Theresa G. de Leon ◽  
John Richard E. Hizon ◽  
...  
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration

scholarly journals Optode Design Space Exploration for Clinically-robust Non-invasive Fetal Oximetry

2019 ◽  
Vol 18 (5s) ◽  
pp. 1-22 ◽  
Author(s):  
Daniel D. Fong ◽  
Vivek J. Srinivasan ◽  
Kourosh Vali ◽  
Soheil Ghiasi
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Non Invasive
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