
Strange Loop Conference
2 HN recommenders · recommended in 5 months, 2022–2024
1:09:38 · 9.3K views · Jun 21, 2021
Guy Steele's Strange Loop 2010 talk argues that programmers should not have to think about parallelism, and that languages should support algorithms built on independence and divide-and-conquer. He also recounts fitting a program onto a single punch card.
Recommended as a fantastic talk, valued both for its parallelism ideas and for the punch-card story.
5 comments from Hacker News
By thinking about things that were not applicable to the problem domain says Guy Steele in "How to Think about Parallel Programing: Not!": this video It's a fantastic talk in its own right, but the first bit about fitting a program onto a punch card by self-modifying the code involved (and just how much thought was about fitting-the-program, and how little relatively is involved in the-purpose-of-the-program) is quite eye opening.
Guy Steele Jr. worked on a language called "Fortress." There are a few good talks that he gives: - (toy problem) [LINK] - (parallelism) this video - (languages) [LINK]
I would use Aerospike, it has strong consistency or session consistency and will soon get multirecord transactions. [LINK] And also see the second bullet point from this Guy Steele talk from 2010 Strange Loop. Synchronization and ordering and a lack of idempotency need to be heavily justified. "How to Think about Parallel Programming: Not!" - Guy L. Steele Jr. (Strange Loop 2010) this video transcript [LINK] thanks matthiasn! Previous discussion [LINK]
Guy Steele has a talk [1] in which he recounts making some sort of utility program for the contemporary of the PDP-8, the IBM 1130. He describes all the gymnastics he went through to try to pack it into a single punch card, and also describes the benefits of having such a program on a single punch card rather than a series of them. [1] "How to Think about Parallel Programming: Not!" - Guy L. Steele Jr. (Strange Loop 2010) this video
Commutativity is important for e.g. parallel programming. See e.g. < this video >. In the context of linear algebra, it would also be good for folks to know that matrix multiplication (/linear transformation composition) is not commutative.