M
Manish Amde
Researcher at University of California, San Diego
Publications - 13
Citations - 1768
Manish Amde is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Spread spectrum & Network packet. The author has an hindex of 6, co-authored 13 publications receiving 1620 citations. Previous affiliations of Manish Amde include University of California & Indian Institute of Technology Bombay.
Papers
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Journal Article
MLlib: machine learning in apache spark
Xiangrui Meng,Joseph K. Bradley,Burak Yavuz,Evan R. Sparks,Shivaram Venkataraman,Davies Liu,Jeremy Freeman,DB Tsai,Manish Amde,Sean Owen,Doris Xin,Reynold Xin,Michael J. Franklin,Reza Bosagh Zadeh,Matei Zaharia,Ameet Talwalkar +15 more
TL;DR: MLlib as mentioned in this paper is an open-source distributed machine learning library for Apache Spark that provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives.
Posted Content
MLlib: Machine Learning in Apache Spark
Xiangrui Meng,Joseph K. Bradley,Burak Yavuz,Evan R. Sparks,Shivaram Venkataraman,Davies Liu,Jeremy Freeman,DB Tsai,Manish Amde,Sean Owen,Doris Xin,Reynold Xin,Michael J. Franklin,Reza Bosagh Zadeh,Matei Zaharia,Ameet Talwalkar +15 more
TL;DR: MLlib as discussed by the authors is an open-source distributed machine learning library for Apache Spark that provides efficient functionality for a wide range of learning settings and includes several underlying statistical, optimization, and linear algebra primitives.
Journal ArticleDOI
Asynchronous on-chip networks
TL;DR: The authors survey various methodologies used for leveraging asynchronous on-chip communication and investigate various GALS based implementations, desynchronisation strategies and asynchronous network-on-chip (NoC) designs.
Proceedings ArticleDOI
Automating the design of an asynchronous DLX microprocessor
TL;DR: The automated design of an asynchronous DLX microprocessor has been designed beginning with a standard RTL-like Verilog specification and the Pipefitter design flow has been used to automatically generate both the specification for the direct implementation of the Control Unit and a synthesisable Verilogs specification of the Data Path.
Patent
Churn prediction in a broadband network
TL;DR: In this article, a churn predictor is built and trained from data collected from multiple customers, including static configuration data and dynamic measured data, and the churn predictor processes the customer instance and generates a churn likelihood score.