gpu

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.

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.

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.

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.

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.

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.

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.

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.

A Computer History Museum oral history panel with four 3dfx founders on the company's rise with Voodoo Graphics and Glide, and its fall into bankruptcy. It runs about two and a half hours.

Bill Dally of NVIDIA gives a University of Washington lecture on trends in deep learning hardware. It covers numeric formats, specialized instructions, energy per operation and co-design of hardware and software.

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.

Jim Keller's talk at the 2020 Scaled Machine Learning conference on Moore's Law in the age of AI chips. He compares scalar, vector and GPU-style parallel approaches to computation.

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.

A SIGGRAPH 2019 course on geometric algebra. Charles Gunn gives an intro, then Steven De Keninck gives a programmer-focused course with live examples in ganja.js.

Timothy Roscoe of ETH Zurich delivers the joint USENIX ATC/OSDI 2021 keynote arguing that operating systems must reckon with modern hardware, which is a heterogeneous collection of processors, firmware and coprocessors rather than a simple machine. It shows how much runs below and beside Linux.

Jim Keller gives a UC Berkeley EECS colloquium arguing that Moore's Law is not dead. He surveys upcoming technologies and the multiple innovation curves that can keep transistor density and performance scaling.

Chuck Moore, inventor of Forth, presents GreenArrays' 144-core asynchronous chip at Strange Loop 2013. He explains how idle cores draw almost no power and how tight code minimizes energy use.

Microsoft's Tony Chen explains how the Xbox One was designed to resist physical attacks, including secure boot, encrypted memory, a security processor and a hypervisor. The goal was to make any hardware attack cost more than the price of many games.

Herb Sutter's deep C++ and Beyond 2012 talk on atomics and the C++ memory model, covering why programmers chasing top performance need to understand hardware ordering. This is part one of two.

Dave Ackley demonstrates the Demon Horde Sort, an inherently robust sorting machine running in his Movable Feast Machine simulator. This is the uncut version with all details and side thoughts.

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.

Bryan Cantrill of Oxide Computer Company gives a Stanford EE380 talk on rethinking the server. He argues that hyperscaler-style rack-scale machines with open firmware, RISC-V and Rust should be available to everyone, not just the giants.

Cliff Click of Azul Systems gives a Google Tech Talk on running Java business applications on a machine with about a thousand cores. He covers hardware and software codesign, including garbage collection hardware and the JIT.

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.

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.

X.Org developer Daniel Stone explains the history and technical limits of the X Window System and why Wayland was created, debunking myths from forum comments. He covers topics such as network transparency and blocking calls.

A demo of the Symbolics Graphics Division's S-Packages, a Lisp-based 3D color graphics and animation system from the 1980s. It was later used in developing for the Nintendo 64.

The SIGGRAPH 2005 demo of dual photography from Stanford, which swaps the roles of projector and camera to render a scene from the light's point of view. It includes the reveal of a hidden playing card.

Andrew Adams, a Halide developer, presents the Halide language for image processing and tensor computation. The talk explains the separation of algorithm from schedule with illustrated examples of parallelism, locality and redundancy tradeoffs.

The first part of Robert Baruch's series on building a 6800 CPU on an FPGA with nMigen, a Python-based hardware description language. It introduces the HDL while implementing a simpler 6800 core.

A seven-minute demo from the author of Notcurses, a C library for text user interfaces. It shows the 2.3.0 release, which adds Sixel and Kitty bitmap graphics integrated into its multiplane character-graphics model.

Christopher Domas presents research at DEF CON 26 showing a hidden alternate instruction set and undocumented hardware backdoor in some x86 processors, found on a third-party CPU. He uses it to ask how feasible wider hardware backdoors are.

Earliest known footage of Ivan Sutherland's MIT PhD work, Sketchpad, the first computer graphics system, with commentary by Alan Kay. It shows light-pen drawing with constraints in a short clip.

GDC 2019 session where Insomniac's David Santiago describes the procedural systems used to build Manhattan for Marvel's Spider-Man. It covers the open-world pipeline and how each system was designed to support iteration and dependencies.

Dave Ackley gives a high-level introduction to robust-first computing, which prioritizes robustness over efficiency in computer architecture. A sorting demo illustrates the idea.

Ian Cutress interviews chip architect Jim Keller about his time at AMD, Intel and elsewhere, management advice, design approach, Moore's Law and x86 versus Arm.

Johann Korndorfer's NVScene 2015 talk on building content with signed distance functions. It focuses on patterns that make SDF modelling more structured, arguing that SDFs capture a shape's essence like vector graphics do compared with polygons or voxels.

Chris Lattner's ASPLOS 2021 keynote on the golden age of compiler design in an era of hardware and software co-design, covering compiler infrastructure for accelerators and unifying hardware IRs.

Simon Knowles, co-founder and CTO of Graphcore, talks about "intelligence processors", chips designed specifically for machine learning. The talk was given at the RAAIS 2017 summit and covers Graphcore's architecture.