jit compilers

Andreas Kling live-codes a prototype JavaScript JIT compiler for the LibJS engine used in SerenityOS and Ladybird. He builds a standalone bytecode VM, a simple interpreter, and then a simple JIT in about 80 minutes.

Brandt Bucher presents his prototype JIT compiler for CPython at the 2023 Core Developer Sprint. He explains the copy-and-patch approach, the implementation and its performance.

Lex Fridman interviews Chris Lattner, creator of LLVM, Clang and Swift, about compilers, Swift for TensorFlow, TPUs and ML accelerators. The talk covers how hardware and software meet to produce efficient code.

Martin Odersky's JVM Language Summit 2015 talk argues that compilers can be thought of as databases. It describes design ideas for the Scala compiler and for developer tools.

Chris Seaton talks about JRuby+Truffle, explaining how the Truffle and Graal combination optimises the tricky parts of Ruby and why it outperforms other Ruby implementations.

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.

Cliff Click, author of HotSpot's JIT compiler, shares hard-won advice for people writing virtual machines at the VMSS16 workshop. Topics include interpreters, JITs and performance lessons.

Ian Piumarta's 2007 Stanford EE380 lecture on building a dynamic programming environment from the ground up, from the Viewpoints Research Institute's work. It covers the design of a language and system with a recursive design, parsing through code generation, and the COLA architecture.

Jan Vitek of Northeastern University gives a meetup talk on the challenges of making the R language run fast. He explains what in R's semantics makes it hard to optimize and to build a JIT compiler for.

Chris Thalinger of Twitter describes the company's effort to run its Scala services on the Graal JIT compiler at Scala Days NYC 2018. It covers the performance gains Twitter saw and the work of running Graal in production.

Anders Hejlsberg whiteboards how compilers are taught versus how modern ones are actually built. He explains the shift to compilers as services with incremental, error-tolerant, IDE-oriented design, as in Roslyn and TypeScript.

Matt Godbolt, creator of Compiler Explorer, tours surprising optimizations modern compilers perform, such as turning loops into closed-form sums and using popcount instructions. He explores what the compiler does behind the scenes.

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.

Chandler Carruth walks through tuning C++ performance, from writing benchmarks to analyzing results on real CPUs and compilers. It focuses on small-scale problems such as loop kernels, data structures and algorithms, and on keeping compilers from optimizing benchmarks away.

A walkthrough of installing Synapse, Riot and Jitsi from scratch on Debian to run your own Matrix communication service. The description warns it is now quite outdated and links to updated material.

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.

Cliff Click of Azul Systems asks what a JVM is supposed to do, in a Google Tech Talk from 2011. He covers the services a JVM provides, such as garbage collection and compilation, and the messy reality beneath the abstractions.

A talk by Yuri Iozzelli at a WebAssembly meetup on CheerpX, an x86 virtual machine running in the browser. It uses a JIT compiler that emits WebAssembly at runtime to run real native applications. It covers the architecture and demos such as porting a multiplayer C++ game.

The first episode of a long live-coding series in which Immo Landwerth builds the Minsk compiler for a small language in C#. It starts with a basic expression evaluator and builds toward a full language.

Paul Phillips, a former Scala core contributor, argues after moving a million lines of code that much of what the software industry does is wrong. He critiques Scala and compiler design and calls for better approaches.

A JuliaCon 2016 talk by Shashi Gowda showing an APL implementation in Julia. APL code is translated to Julia and JIT compiled to machine code.

Chandler Carruth's CppNow 2013 keynote on how C++ builds complex software from simple emergent structures, and how compilers optimize them through inlining and value semantics.

Lex Fridman's long interview with Chris Lattner, creator of LLVM and Swift, covering the future of computing and programming languages. It touches on compilers, hardware, and his work at Apple, Tesla, Google and SiFive.

Svelte creator Rich Harris explains moving reactivity into the compiler and language rather than tracking state at runtime, with a history of spreadsheets as reactive systems and comparisons to React.

Tom7 explains how he built a SIGBOVIK 2017 paper made only of printable ASCII bytes that is also a valid DOS executable. He writes a C compiler targeting printable x86 without self-modifying code and solves the puzzles the constraint creates.

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.

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.

Emery Berger argues that performance is hard to measure and deliver on modern systems, showing how code layout and link order can swamp optimization effects. He presents tools that evaluate performance more reliably.

Chandler Carruth's CppCon 2016 talk tries to defuse the heated debate over undefined behavior in C and C++. He explains from the compiler writer's perspective why UB exists and how it enables optimization.

Rob Pike's GopherCon 2016 talk on the design of the Go assembler, explaining why Go uses a common assembly language translated to each architecture.

Lex Fridman's long podcast conversation with Chris Lattner, creator of Swift, LLVM and MLIR and co-founder of Modular. Topics include the Mojo language, the future of programming and AI, and hardware.

A 2023 LLVM Developers' Meeting keynote by Abdul Dakkak, Chris Lattner and Jeff Niu introducing Mojo, a Python-family systems language built on MLIR and LLVM for heterogeneous computing.

Swift compiler engineers explain how Swift implements generics using dictionary-passing with reified type metadata. They compare it with Java-style uniform representation and C++ or Rust monomorphization.

Robert Smith of Rigetti Computing talks at a Bay Area Lisp and Scheme meetup about using Common Lisp for quantum computing. He covers the technical, sociological and psychological sides of working across disciplines.

Anders Hejlsberg introduces the native port of the TypeScript compiler, written in Go, which promises roughly 10x faster tooling. He demos compiling VS Code and explains where the speedup comes from.

An interview with Anders Hejlsberg, lead architect of TypeScript, about porting the TypeScript compiler to Go. He covers the 10x type-checking speedup, lower memory use, and why Go was chosen.

A long Mill Computing lecture on the Mill CPU's compiler toolchain, covering the specializer that targets family members, scheduling and latency passes, and the belt. It explains how the compiler handles a wide-issue, exposed-pipeline design.

Chandler Carruth's GoingNative 2012 talk on Clang, covering how the compiler helps defend C++ code from mistakes. It makes the case for Clang's diagnostics and tooling.

Andy Keep's Clojure/Conj talk on writing a nanopass compiler, built from many single-task passes with formally defined intermediate languages. It covers the framework's origins in a compiler teaching course at Indiana University.

Jonathan Blow gives a formal, hour-long demo of his Jai compiler focused on the implicit context feature. The context carries things like allocators through a program without explicit parameter passing, and the talk walks through the code.