gpu-driven rendering

A Remedy engineer explains how Alan Wake 2 moved to a GPU-driven rendering pipeline built on mesh shaders, culling and rendering meshlets for dense vegetation on PS5 and Xbox Series consoles.

An excerpt from a Bay Area Rust meetup on Servo's WebRender, which renders CSS display lists on the GPU at very high frame rates. It explains the approach and demos rendering at around 500 FPS.

Dragan Djuric presents Clojure libraries for GPU and numerical computing, including ClojureCL, ClojureCUDA and Neanderthal. He shows how a dynamic REPL workflow can be combined with low-level hardware acceleration for machine learning and data science.

A demo excerpt from a 2016 Bay Area Rust meetup showing Servo's WebRender drawing CSS on the GPU at very high frame rates. It presents the promise of GPU-based browser rendering.

Brian Bucklew of Freehold Games discusses design decisions behind Caves of Qud and Sproggiwood at IRDC 2015. The talk centers on data-driven, event-driven engine design.

Casey Muratori follows up his refterm proof-of-concept, a GPU-based terminal renderer, with a second part covering memory usage, glyph sizing and correct Unicode and VT handling. It is built to show that a terminal can be fast and correct without heroic effort.

Emily Shea explains how repetitive strain injury pushed her to program by voice using speech recognition (Talon), and gives a live coding demo. She argues voice-driven development can be pain-free, efficient and enjoyable.

Edwin Brady, creator of Idris, presents Idris 2 and demonstrates type-driven development, where the compiler assists by filling holes and suggesting implementations from types.

Edwin Brady presents Idris 2, a rewrite of the Idris dependently typed language, and shows type-driven development in practice. The demos show the compiler filling in whole functions from their types.

John Carmack's keynote at Oculus Connect 2014 about the Gear VR and development stories from building it. He discusses mobile GPU optimization, latency, and display ideas like programmable interlacing.

Edwin Brady, creator of Idris, introduces type-driven development in a dependently typed language. He shows types being written first and programs derived with interactive editing, then extends beyond simple examples to programs that interact with users and networks.

Scott Wlaschin shows how statically typed functional languages, using F# examples, can model a business domain so that invalid states cannot be represented. The type system acts almost like an instant unit test at compile time.

Rik Arends presents Makepad, a Rust UI framework, at RustNL 2023. The talk covers designing modern, GPU-fast UIs with Rust and includes live-coded demos of an IDE and a synthesizer.

A GDC 2015 talk in which Natalya Tatarchuk describes the multithreaded renderer Bungie built for Destiny. It covers the low-latency architecture across platforms, its successes and its challenges.

Media Molecule's Alex Evans recounts the journey, including the failures, of finding the Dreams engine, based on his Siggraph 2015 talk. It covers the signed-distance-field and splat-based rendering approach and the artistic goals behind it.

David Nolen explains how ClojureScript is used at Vouch.io to build mobile and web software with a single language and REPL-driven workflow. The talk includes a live coding demo of React Native development.

Nadia Polikarpova's Strange Loop talk on program synthesis driven by refinement types, as in Synquid. It shows how rich type specifications can be turned into verified, executable code.

Elias Martenson presents his Emacs-based workflow for building a web application (the Potato chat platform) with Common Lisp on the backend and ClojureScript on the frontend. He demonstrates SLIME, Paredit, CIDER and debugger-driven interactive development. The talk is 79 minutes and was given at Emacs SG.

The Academy's 2014 Sci-Tech Awards segment honoring Matt Pharr, Greg Humphreys and Pat Hanrahan for their physically based rendering work and book. The authors give a short acceptance speech that thanks Donald Knuth for literate programming.

A demo of Brigade 3 real-time path tracing at 720p controlled with an Xbox controller. Depth of field, field of view, reflections and shadows can be altered live.

A long George Hotz live-stream from June 2023 in which he works on tinygrad and rants about AMD's drivers, ultimately declaring he is giving up on AMD. It also touches on hardware and compiler topics.

Olivier Giroux's CppCon 2019 talk recounts the roughly ten-year effort to bring std::atomic and the C++ memory model to CUDA GPUs, through ten stories from that work.

Rafal Dittwald's Clojure/north talk shows how to move from writing Java-style code in Clojure to thinking in data-driven, functional terms. He walks through a JavaScript example, refactoring imperative code step by step into a functional core.

Steven Wittens' JSConf US 2013 talk on drawing with WebGL, using animated visuals to walk through vectors, matrices and the rendering pipeline. Despite the title, it works as a visual primer on the linear algebra behind 3D graphics.

Matt Adereth's Clojure/conj talk covers the history of keyboards and how he used Clojure generating OpenSCAD to design and build his custom Dactyl ergonomic keyboard, including 3D printing and laser-cut parts.

Chris McCord's ElixirConf 2018 keynote introduces Phoenix LiveView, which renders HTML on the server and updates the page over websockets. It includes a demo showing that latency is not the bottleneck one might expect.

Yaron Minsky of Jane Street shows how the OCaml Incremental library lets trading UIs express data transformations that are easy to read and efficient on streaming data. It includes a live table demo.

A one-minute capture of Tim Clarke's 1993 'Mars' DOS demo, a roughly 5 KB program that renders a navigable terrain landscape in real time.

Bill Dally of NVIDIA gives a Hot Chips 2023 keynote on the challenges of building hardware for deep learning. He traces how GPUs have been adapted for machine learning, especially training.

Pete Hunt explains why React's virtual DOM was built, how it compares with databinding-style systems, and what it means for future browser technology. Recorded at FutureJS 2014 in Barcelona.

Tom Dale explains the internals of the Glimmer VM, Ember's rendering engine, which compiles templates to opcodes. The talk includes a performance benchmark demo.

A Computer History Museum demonstration with Dan Ingalls of Smalltalk-76 running on a Xerox Alto, recorded in 2017. He shows the live environment and discusses the system.

Ted Young of LightStep proposes trace testing, using distributed tracing data to unify testing and observability. The KubeCon-era talk argues for testing against trace data rather than treating tests and monitoring separately.

A Google Developers Q&A in which Blink engineering leads and the PM answer the community's top questions about the new Blink rendering engine forked from WebKit.

Richard Feldman's elm-conf talk on designing models so that bugs from impossible application states cannot occur, using Elm's compiler and types. It demonstrates techniques for making invalid states unrepresentable.

Ruby developer Avdi Grimm gives a seven-minute tour of Pharo Smalltalk's development environment, focusing on tools like search-by-example and the integrated, live coding experience.

Scott Wlaschin's NDC talk on using statically typed functional programming, F# in particular, to model a business domain. Types are used to represent the domain precisely and to encode business rules so that illegal states cannot be built, with the compiler acting as an instant unit test.

James Mickens's 2015 Harvard colloquium argues that browsers are bloated and insecure because feature races trump clean interface design. He presents a cleaner, more secure browser architecture (Atlantis) with a much smaller API surface.

Peter Norvig's 2007 Google talk on theorizing from data, covering what huge datasets can do for language understanding, translation, information extraction and inference. It argues that more data often beats cleverer models.

Peter Norvig's UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.