Machine Learning Techniques and Space Mapping Approaches to Enhance Signal and Power Integrity in High-Speed Links and Power Delivery Networks

2020 ◽  
Author(s):  
Jose E. Rayas-Sanchez ◽  
Francisco E. Rangel-Patino ◽  
Benjamin Mercado-Casillas ◽  
Felipe Leal-Romo ◽  
Jose L. Chavez-Hurtado
Keyword(s):  
Machine Learning ◽  
High Speed ◽  
Space Mapping ◽  
Power Delivery ◽  
Machine Learning Techniques ◽  
Power Integrity ◽  
Power Delivery Networks ◽  
Learning Techniques ◽  
Delivery Networks

Practical approach to power integrity‐driven design process for power‐delivery networks

2016 ◽  
Vol 10 (5) ◽  
pp. 448-455 ◽  
Author(s):  
Baekseok Ko ◽  
Joowon Kim ◽  
Jaemin Ryoo ◽  
Chulsoon Hwang ◽  
Chan‐Keun Kwon ◽  
...  
Keyword(s):  
Design Process ◽  
Power Delivery ◽  
Practical Approach ◽  
Power Integrity ◽  
Power Delivery Networks ◽  
Delivery Networks

High Speed Serial Links Risk Assessment in Industrial Post-Silicon Validation Exploiting Machine Learning Techniques

2020 ◽  
Author(s):  
Cesar A. Sanchez-Martinez ◽  
Paulo Lopez-Meyer ◽  
Esdras Juarez-Hernandez ◽  
Aaron Desiga-Orenday ◽  
Andres Viveros-Wacher
Keyword(s):  
Machine Learning ◽  
Risk Assessment ◽  
High Speed ◽  
Machine Learning Techniques ◽  
Serial Links ◽  
Learning Techniques

scholarly journals Toward Bulk Synchronous Parallel-Based Machine Learning Techniques for Anomaly Detection in High-Speed Big Data Networks

Symmetry ◽  
2017 ◽  
Vol 9 (9) ◽  
pp. 197 ◽  
Author(s):  
Kamran Siddique ◽  
Zahid Akhtar ◽  
Haeng-gon Lee ◽  
Woongsup Kim ◽  
Yangwoo Kim
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Anomaly Detection ◽  
High Speed ◽  
Machine Learning Techniques ◽  
Data Networks ◽  
Bulk Synchronous Parallel ◽  
Learning Techniques
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