Pillars Of Computer Science
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Computer Architecture for Scientists
Author: Andrew A. Chien
language: en
Publisher: Cambridge University Press
Release Date: 2022-03-10
A principled, high-level view of computer performance and how to exploit it. Ideal for software architects and data scientists.
Pillars of Computing
This accessible compendium examines a collection of significant technology firms that have helped to shape the field of computing and its impact on society. Each company is introduced with a brief account of its history, followed by a concise account of its key contributions. The selection covers a diverse range of historical and contemporary organizations from pioneers of e-commerce to influential social media companies. Features: presents information on early computer manufacturers; reviews important mainframe and minicomputer companies; examines the contributions to the field of semiconductors made by certain companies; describes companies that have been active in developing home and personal computers; surveys notable research centers; discusses the impact of telecommunications companies and those involved in the area of enterprise software and business computing; considers the achievements of e-commerce companies; provides a review of social media companies.
Logical Foundations of Computer Science
This book constitutes the refereed proceedings of the International Symposium on Logical Foundations of Computer Science, LFCS 2018, held in Deerfield Beach, FL, USA, in January 2018. The 22 revised full papers were carefully reviewed and selected from 22 submissions. The scope of the Symposium is broad and includes constructive mathematics and type theory; homotopy type theory; logic, automata, and automatic structures; computability and randomness; logical foundations of programming; logical aspects of computational complexity; parameterized complexity; logic programming and constraints; automated deduction and interactive theorem proving; logical methods in protocol and program verification; logical methods in program specification and extraction; domain theory logics; logical foundations of database theory; equational logic and term rewriting; lambda andcombinatory calculi; categorical logic and topological semantics; linear logic; epistemic and temporal logics; intelligent and multiple-agent system logics; logics of proof and justification; non-monotonic reasoning; logic in game theory and social software; logic of hybrid systems; distributed system logics; mathematical fuzzy logic; system design logics; and other logics in computer science.