Ying Huang: Soprano

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Google Tech Talks
December, 12 2007

ABSTRACT

The advent of multicore processors has generated profound debate on the merits of writing parallel programs with threads and locks. Nonetheless, for many application domains, this remains the standard paradigm for writing parallel programs, and at the moment, there is no apparent universal replacement. And it is the focus of this talk.

Somewhat surprisingly, there are a number of often subtle, but generally fixable, industry-wide problems with current approaches to threads programming. We'll focus on probably the most widely used environments, consisting of C or C++ with a standard threads library. Problems span the spectrum from system libraries through language implementations through supporting hardware. They get in the way both in that they often make it difficult to write 100% reliable multi-threaded software, and in that they confuse even the basics of the programming model, thus making it hard to teach. A surprising number of "experts" do not understand the basic rules. Arguably, these problems really need to be addressed to even allow a meaningful comparison to other parallel programming approaches.

Since solutions to these problems generally require a coordinated industry effort, we helped to persuade the C++ standards committee to address them by pursuing a coherent approach to threads in the next C++ standard. The talk will outline some of the proposed solutions, and give an update on this effort.

Speaker: Hans Boehm
Hans Boehm is a member of the advanced architecture group at HP Labs. He has worked on many aspects of programming language design and implementation, including garbage collection and concurrency, and he was HP's representative to the effort to redesign Java's memory model. He is a past Chair of ACM SIGPLAN, and is an ACM Distinguished Scientist.

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Lecture by Professor Jerry Cain for Programming Paradigms (CS107) in the Stanford University Computer Science department. In this lecture, Prof. Cain discusses thread libraries in the context of the C and C++ programming languages.

Programming Paradigms (CS107) introduces several programming languages, including C, Assembly, C++, Concurrent Programming, Scheme, and Python. The class aims to teach students how to write code for each of these individual languages and to understand the programming paradigms behind these languages.

Complete Playlist for the Course:
http://www.youtube.com/view_pl ay_list?p=9D558D49CA734A02

CS 107 Course Website:
http://www.CS107.stanford.edu/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanfor d/

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Lecture 11 by Julie Zelenski for the Programming Abstractions Course (CS106B) in the Stanford Computer Science Department.

Julie continues with recursive backtracking and introduces pointers and recursive data. Following, she focuses on solving the problems rather than the exact code and later uses the example of a program that will solve a Sudoku puzzle. She explains that recognizing and looking for patterns between all of the different recursive examples is an important component to learning recursion.

Complete Playlist for the Course:
http://www.youtube.com/view_pl ay_list?p=FE6E58F856038C69

CS 106B Course Website:
http://cs106b.stanford.edu

Stanford Center for Professional Development:
http://scpd.stanford.edu/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanfor duniversity/

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