memory performance

A 36-minute animated deep dive from Branch Education into how DRAM works. It shows how memory connects to the CPU and how billions of bits are stored in nanoscale capacitor cells. It also covers why DRAM sits between SSDs and the processor.

Cliff Click walks through a small performance example on a modern out-of-order CPU. He covers pipelining, ILP, CISC vs RISC, multicore, and why cache misses and the memory subsystem dominate performance.

CuriousMarc's Apollo Guidance Computer restoration series looks at core rope memory, the ROM that held the Moon landing programs. Mike Stewart builds a custom reader to recover lost AGC programs.

Emery Berger's CppCon 2019 talk introducing Mesh, a drop-in malloc replacement that compacts memory in unmodified C and C++ programs. It tackles fragmentation by merging pages without changing pointers.

A documentary on Clive Wearing, a renowned musician whose brain was damaged by a virus in 1985, leaving him with a memory spanning only about seven seconds. It follows his life and condition.

A Netflix performance engineer presents how Netflix tunes EC2 instances, covering instance type choice, Xen modes, SR-IOV and kernel tuning. The goal is near bare-metal performance in the cloud.

Emery Berger explains why performance is hard to measure and deliver on modern hardware, showing how code layout and alignment can swamp optimization effects. He presents Stabilizer for statistically sound evaluation and Coz, a causal profiler.

A Zig SHOWTIME talk by Benjamin Feng on what a memory allocator is, followed by an interview. It covers allocation strategies and different allocator types in Zig.

Casey Muratori shows how typical 'clean code' object-oriented patterns can cost large factors in performance. He benchmarks them against simpler data-oriented code.

In an Ars Technica War Stories episode, Prince of Persia creator Jordan Mechner describes how he made the game on the Apple II, fighting hardware memory limits and the platform's decline. It covers the rotoscoped animation and the engineering tricks involved.

Alex Russell's Chrome Dev Summit 2016 talk on building web experiences that work on slow, flaky networks and low-power devices. It argues developers should focus on the performance of real-world mobile hardware rather than desktop machines.

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.

A 2009 Google Tech Talk by Nicholas Zakas on the hidden performance pitfalls of JavaScript. It covers what is fast and slow in the language and how to avoid common bottlenecks.

RustConf 2020 closing keynote by Sian Griffin that dives into Pokemon Blue glitches, notably Missingno and arbitrary-code-execution tricks. It uses them to explain how memory unsafety works and how memory-safe languages like Rust prevent such bugs.

In this TED talk, Nobel laureate Daniel Kahneman distinguishes the experiencing self from the remembering self, using examples such as vacations and colonoscopies. He explains how the two perceive happiness differently and what that means for economics, policy and self-awareness.

Ahmon Dancy of Franz Inc explains low-level programming in Common Lisp, including off-heap data structures used in AllegroGraph to manage memory outside the garbage collector.

Chandler Carruth's CppCon 2016 talk on designing hybrid data structures for performance. He covers cache locality, working-set size and allocation overhead, and why standard C++ containers fall short.

Casey Muratori responds on-stream to a dismissive Twitter post by demonstrating how slow Visual Studio's startup and debugger watch window are, comparing it to much older software and machines. It is a long rant about software performance and bloat.

Bobby Powers presents Mesh, a drop-in malloc replacement that eliminates memory fragmentation in unmodified C/C++ programs by compacting memory. The talk covers how it works despite C's fixed object addresses, and its benefits for programs like Redis.

Aaron Hsu shows how to manipulate and transform tree data in APL using arrays and inverted tables instead of pointers. He claims much smaller code, better performance and easier parallelisation.

Scotty Allen of Strange Parts travels through Shenzhen's Huaqiangbei markets and learns to upgrade an iPhone 6s from 16GB to 128GB by swapping its flash chip. It is part 3 of his custom iPhone series and shows the difficulty of the hands-on repair work.

Leptos creator Greg Johnston examines Rust/WebAssembly frontend frameworks against JavaScript frameworks using the JS framework benchmark. He argues that WASM is no longer too slow for DOM-heavy rendering.

Casey Muratori argues against smart pointers and RAII, advocating grouped-element thinking, zero-is-initialization and stubs as better ways to structure memory and handle errors.

Jack Moffitt presents the architecture of Servo, Mozilla's experimental browser engine written in Rust, focusing on parallelism across cores, GPUs and SIMD and the safety properties gained from Rust.

Charlie Marsh of Astral explains how uv, a Rust Python package manager, got so fast. He covers allocators, concurrency, zero-copy tricks and the challenges of Python packaging.

Kiran Pamnany's Cambridge Julia Meetup talk on Julia's shared memory parallelism and its new task scheduler. It argues that fork-join and work-stealing models nest poorly and presents depth-first scheduling for composable parallelism.

Robert Collins explains why rustup installs were painfully slow on Windows and how changes to rustup and Windows cut install time from 3m30s to 14s. The talk covers NTFS, small files and the cost of antivirus hooks on file close.

Dave Chinner's linux.conf.au 2012 talk on XFS scalability, covering pain points with large numbers of files and complex metadata, and the work to fix XFS metadata performance.

Matt Godbolt builds a toy path tracer in C++ in three different styles and compares them on clarity, testability, compile time and run-time performance. The talk was given at CppCon 2019.

David Ditzel of Esperanto Technologies presents their massively parallel, energy-efficient RISC-V processors at the 7th RISC-V Workshop in 2017. It covers the high-performance many-core design aimed at machine learning.

Aaron Patterson's RailsConf 2011 talk on Rails 3.1 performance, showing why deeper Rack middleware stacks slow Rails and how a shallower pipeline helps. It also touches on Rack API design.

Allan Jude of Klara presents work on making ZFS scale on fast NVMe storage, covering fixes to the TaskQueue interface and removal of bottlenecks. The talk was given at EuroBSDcon 2022 and describes raising write throughput from about 3 to over 7 GB/sec.

Ilya Grigorik of Google's Make the Web Fast team explains how to build a mobile site that appears on screen within one second. He covers the network and rendering constraints on mobile.

R. Stanley Williams of HP Labs gives a keynote on the memristor, covering the physics, crossbar computation, and potential for memory and new computer architectures.

Psychology professor Marty Lobdell gives a one-hour lecture on how to study effectively, covering short focused sessions with breaks, study environment, note-taking and memory techniques. It was aimed at students who cram without improving.

Casey Muratori shows how fast a terminal renderer can run, building a simple reference renderer that handles Unicode and colored text far quicker than Windows Terminal. He argues that common excuses for slow terminals do not hold up.

The first episode of CuriousMarc's series restoring a real Apollo Guidance Computer, led by AGC expert Mike Stewart. They set up a makeshift lab in a Houston hotel room to open up a rare machine owned by a private collector.

Richard Feldman explains how pure functional languages can match or beat imperative ones on performance. Compilers can turn immutable code into in-place mutation, avoiding naive copying. The talk draws on his work on the Roc language.

Veritasium explains why analog computing may suit AI workloads, covering old analog computers, The Analog Thing and Mythic's analog chips that use flash memory for neural network inference. It argues digital hardware is hitting limits.

Andrew Kelley, creator of Zig, presents practical data-oriented design techniques for shrinking memory footprint and making programs cache friendly. He ends with a case study of how these ideas sped up the Zig compiler.