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1
Introduction
2
Theme
3
Abstractions
4
Dictionary
5
Cast of Characters
6
Abstraction Subclasses
7
Abstraction implementations
8
declarative abstractions
9
computational abstractions
10
abstractions algorithms compilation and running time
11
Abstractions and algorithms
12
Computational thinking
13
The lexical analyzer
14
Lex
15
Syntax Analyzer
16
Yak
17
Dragon Books
18
DiscOriented Abstractions
19
Diskbased Abstractions
20
Bee Trees
21
Relational Model
22
Projection
23
Optimization
24
MapReduce
25
MapReduce Issues
26
New Hardware Platforms
27
Quantum Measurements
28
Quantum Circuits
Description:
Explore the foundations of computational thinking in this Turing Lecture delivered by Alfred Aho and Jeffrey Ullman, moderated by John L. Hennessy. Delve into a comprehensive taxonomy of abstractions and their applications in computer science, focusing on compiler design, large dataset management, and quantum computation. Examine the vital role of abstractions in advancing technology and solving complex problems. Gain insights from two distinguished computer scientists as they discuss the evolution of abstractions, their algorithms, and compilers, and consider future challenges in computing abstractions. Learn about the four different kinds of abstractions commonly used in computing and their implementation in various areas of computer science.

Turing Lecture 2021 - Abstractions, Their Algorithms, and Their Compilers

Association for Computing Machinery (ACM)
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