Scientific Programming and Computer Architecture
by Divakar Viswanath
Publisher: The MIT Press 2017
Number of pages: 624
This book examines and explains a variety of scientific programming models with an emphasis on how programming constructs map to different parts of the computer's architecture. Two themes emerge: program speed and program modularity. Throughout this book, the premise is to 'get under the hood', and the discussion is tied to specific programs.
Home page url
Download or read it online for free here:
by Antoni Niederlinski
Introductory and down-to-earth presentation of Constraint Logic Programming, an exciting software paradigm, more and more popular for solving combinatorial as well as continuous constraint satisfaction problems and constraint optimization problems.
by Noam Nisan, Shimon Schocken - MIT Press
The book exposes students to a significant body of computer science knowledge, gained through a series of hardware and software construction tasks. These tasks demonstrate how theoretical and applied techniques are used in practice.
by Michael R. Lyu - McGraw-Hill
From leading industrial/research experts, here is an insider's look at today's best practices for software reliability engineering. This is a guide for software developers, designers, project managers, high-level applications programmers, et al.
by Ruqian Lu - Polimetrica
This book proposes to separate knowledge from software and to make it a commodity that is called knowware. The architecture, representation and function of Knowware are discussed. The principles of knowware engineering are analyzed.