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An increasing number of system designers are using ASIP s rather than ASIC s to implement their system solutions. Building ASIPs: The Mescal Methodology gives a simple but comprehensive methodology for the design of these application-specific instruction processors (ASIPs).

The key elements of this methodology are:

Judiciously using benchmarking

Inclusively identifying the architectural space

Efficiently describing and evaluating the ASIPs

Comprehensively exploring the design space

Successfully deploying the ASIP

This book includes...

This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people...

This bookanchors its pedagogy in the program ProgramLive that you may find at extras.springer.com, a complete multimedia module in itself. Containing over 250 recorded lectures with synchronized animation, ProgramLive allows users to see, first-hand and in real time, processes like stepwise refinement of algorithms, development of loops, execution of method calls and associated changes to the call stack, and much more. The zip file also includes all programs from the book, 35 guided instruction sets for closed lab sessions, and a 70-page hyperlinked glossary.

With its comprehensive...

As in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on:

• data processing and manipulation in general;
• text processing with and without regular expressions of large bodies of textual and/or literary data, and;
• basic aspects of statistical analysis and...