by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va .
Written in English
The objective of this research has been the creation of a hardware design for a Predictive Read Cache (PRC). The PRC is a developmental cache intended to replace second-level caches common in modern microprocessor systems. The PRC has the potential of being faster and cheaper than current second-level caches and is distinctive in its ability to predict data addresses to be referenced by a central processing unit. Previous research has analyzed the behavior that the PRC must exhibit. During the described research, the behavior was modeled in the Verilog hardware description language. Verilog-XL was used for simulation, which uses the Verilog behavioral model as input. The behavioral model suggests that the internal structure of the PRC could be divided into six modules, each performing part of the function of the whole PRC. Each of these blocks was studied for hardware equivalents, easing the development of the total structural model. Using Verilog structural models as input, Epoch was used to automatically perform a very large-scale integrated (VLSI) circuit layout and to generate timing information. The Epoch output files are used for further simulation with Verilog-XL to identify critical parts of the design. The result of this research is a complete hardware design for the PRC.
|Statement||Joseph R. Robert, Jr|
|The Physical Object|
|Pagination||189 p. ;|
|Number of Pages||189|
Applied Predictive Modeling by Max Kuhn and Kjell Johnson is a complete examination of essential machine learning models with a clear focus on making numeric or factorial predictions. On nearly pages, the Authors discuss all topics from data engineering, modeling, and performance evaluation. The core of Applied Predictive Modeling consists of four distinct chapters/5. Eric Siegel's breakout book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Published by Wiley; foreword by Thomas H. Davenport) has been called "The Freakonomics of big data," and "the definitive book of this industry" that is "an operating manual for 21st century life." At less than $15, this book and its Kindle version hold the #1 and #2 Best Seller positions. ['PDF'] Essential ICT A Level: Essential ICT for AQA A2 level (Student Book) (Essential ICT) "free epub ['PDF'] Excel For Dummies Free Download ['PDF'] Excel Power Programming with VBA (Mr. Spreadsheet′s Bookshelf) read online. the book is not good. it is very theoretical but more than that when you read the book; you do not understand what the author is trying to do and what the purpose is. the book uses a set of thousands of notations (very difficult to keep in mind what they mean) and then lists hundreds of proposals, assumptions (for example chapter 2) which make /5(5).
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel “This book is easily understood by all readers. Rather than a “how to” for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of . Unfortunately there is no magical book which contains all you have to know on data science in general and predictive analytics in particular. You have to go through a set of books, articles, blogs and above all “hands on projects” before. However. Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems Reviews: 1. This book is about predictive modeling. Yet, each chapter could easily be handled by an entire volume of its own. So one might think of this as a survey of predictive models, both statistical and machine learning. We define A predictive model as a statistical model or machine learning model used to predict future behavior based on past behavior.5/5(1).
Design of a Predictive Filter Cache for Energy Savings in High Performance Processor Architectures. One of the principal energy-improving aspects in this book is the architecture concept. Predictive definition: You use predictive to describe something such as a test, science, or theory that is | Meaning, pronunciation, translations and examples. Robust Model Predictive Control Design, Model Predictive Control, Tao Zheng, IntechOpen, DOI: /intechopen Available from: Vojtech Vesely and Danica Rosinova (August 18th ).Cited by: 4. Model Predictive Control. Edited by: Tao Zheng. ISBN , PDF ISBN , Published Cited by: