parallel processing

Simon Peyton Jones explains nested data parallelism and Data Parallel Haskell, an approach to exploiting multicore and distributed hardware while keeping a simple single-control-flow programming model.

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.

Guy Steele presents a small geometric problem and compares four computational approaches: a classic sequential solution and three parallel-friendly ones. Each is illustrated pictorially and with working code, weighing total work against time to solution.

The first lecture of Stanford's Natural Language Processing with Deep Learning course, taught by Chris Manning and Richard Socher. It introduces NLP and word vectors, including SVD, skip-gram, CBOW, negative sampling and word2vec.

Dennis Gustafsson, creator of Teardown, presents how he parallelized the physics solver for an upcoming game, followed by a Q&A. The talk was given at the Better Software Conference 2025.

Samuel Falvo II live-codes a text preprocessor and blog engine in Forth over about an hour. It shows Forth's dictionary being snapshotted and restored in place of mutation, and how a small Forth system gets real work done.

A two-hour live stream in which Aaron Hsu explains the architecture, design history and aesthetic of Co-dfns, his parallel APL compiler. He walks through the code and the reasoning behind its dense style.

A lecture by Richard Feynman on how computers work, using the analogy of a filing clerk that becomes progressively dumber and faster. It also covers heuristics and how computers handle data and solve problems in finite time.

Neuroscientist Anil Seth gives a Royal Institution lecture on the science of consciousness. He separates conscious level, content and self, and argues that experience arises from the brain's predictive inference.

The first lecture in an 18-part series on digital photography from Marc Levoy's Stanford CS 178 course, recorded at Google in 2016. The series covers how digital cameras work and computational photography, with slides and assignments available on the course site.

Seymour Cray's only surviving recorded talk, introducing the Cray-1 supercomputer in 1976. He describes the machine's design, including its vector architecture and cooling through the frame.

Guy Steele's JuliaCon 2016 keynote on the Fortress language, its features and the lessons learned from the project.

The full recording of Douglas Engelbart's 1968 demonstration, which introduced the mouse, hypertext, video conferencing, word processing, and real-time collaborative editing. It runs about 100 minutes.

Cathode Ray Dude's hour-long retrospective on the ABIT BP6, the dual-Celeron motherboard. He covers early multiprocessing, its legend, a build, running NT 4, benchmarks and the pros and cons of early SMP.

Joscha Bach's 31c3 talk argues that the mind should be understood as an information-processing system and that even the physical universe can be seen as computational. It tours the philosophy underlying artificial intelligence and cognitive science.

Joe Armstrong's Strange Loop 2013 talk on building large scalable systems from small isolated parallel components. It covers detecting and correcting errors at run time, changing code while it runs, and how Erlang embodies these principles.

Chalmers Johnson, author of Blowback and Sorrows of Empire, lectures on parallels between the decline of the Roman and Soviet empires and the United States. He argues the US shows the same symptoms: overextension, corruption, and an inability to reform.

The second talk in the Mill CPU series by Mill Computing, covering the Belt, the Mill's operand-passing model that replaces general registers. It explains the cost of register renaming in conventional wide CPUs and how the Belt reaches high instruction-level parallelism.