llvm

Christian Schafmeister presents lessons from six years of implementing Clasp, a Common Lisp compiler using LLVM as its backend that interoperates with C++. He explains handling a dynamic, memory-managed language on LLVM.

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.

Daniel Dunbar of Apple presents llbuild, a framework for building build systems, at the 2016 LLVM Developers' Meeting. He argues that the traditional way C compilers integrate with build systems limits compile speed, and proposes a new architecture.

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.

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.

Christian Schafmeister's Google Tech Talk on designing spiroligomer molecules and building Clasp, a Common Lisp on LLVM that interoperates with C++, to program molecular design. It covers the chemistry, automatic differentiation for force fields, and how the compiler is built.

Christian Schafmeister's Google Tech Talk on Clasp and CANDO, a Common Lisp implementation on LLVM and C++ used to design molecules, including energy minimization and force-field calculations.

ThePrimeagen interviews Chris Lattner, creator of LLVM, Clang, Swift and Mojo, with TJ DeVries, in a long live-streamed conversation. They discuss language design and Lattner's experience building Swift.

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.

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.

Andrew Kelley's 2024 Zig roadmap talk, followed by a Q&A, covers the language's priorities and the state of the project. Topics include compilation speed, moving off LLVM toward a self-hosted toolchain, async, and the path to 1.0.

Developer Voices interviews Chris Lattner about Mojo, a Python-compatible language aimed at CPU/GPU performance built on LLVM and MLIR. It covers performance features, the type system and why Mojo uses Python syntax.

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.

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.

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.

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.

Rob Pike shows how the Go text/template lexer is built, using state functions, goroutines and channels. The talk was given at a Google Technology User Group in Sydney in 2011.

William Byrd presents at Papers We Love NYC on what he calls the most beautiful program ever written, a Lisp interpreter written in Lisp. He walks through the metacircular interpreter and related ideas, and demos relational programming and program synthesis near the end.

Jason Turner's CppCon 2016 talk builds a simple Commodore 64 game using C++17, showing how constexpr and const let a modern compiler produce tight 6502 code. He walks through assembly output to show abstractions being optimized away.

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.

Christopher Domas's Derbycon 2015 talk on the M/o/Vfuscator, a compiler that emits only x86 mov instructions, showing mov is Turing complete. It explains how a full machine is built from mov and why the output is a nightmare to reverse engineer.

David Beazley's PyCon India closing keynote, in which he live-codes a stack machine and grows it into an interpreter that runs WebAssembly, then uses it to play a Rust-written game. It requires no prior WebAssembly knowledge.

Miguel de Icaza's GodotCon 2023 talk on Swift bindings for Godot. He argues that garbage-collector pauses in C# are a persistent problem and that Swift's reference counting avoids them.

Matt Godbolt's CppCon 2017 talk shows what modern compilers do with your C++ code, using Compiler Explorer to inspect generated assembly. It covers surprising optimizations and how the tool works.

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.

Eric Bier, a PARC research scientist, demonstrates the Cedar integrated programming environment and language, an evolution of Mesa from Xerox PARC. The demo shows the Tioga editor, garbage collection, and a full graphical workstation environment.

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 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 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.

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.

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.

Herb Sutter's CppCon 2015 plenary on writing safe, modern C++ by default using the C++ Core Guidelines. It includes a demo of lifetime-checking static analysis tooling.

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.

Max Brunsfeld introduces Tree-sitter, a parsing system for developer tools that offers incremental parsing and robust error recovery through a uniform C API. The talk explains the design, based on LR extended to GLR parsing.

Steve Yegge's Stanford seminar on GROK, Google's internal large-scale, cross-language source code analysis system. It covers how the system helps with code search and understanding across Google's huge codebase.

Matt Might's Curry On talk on ending errors in code, both software and the human genome. He covers conservative approximation of the halting problem via static analysis and a computational approach to precision medicine.

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.

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.

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.

David Ungar of IBM Research reflects at Stanford on the Self language project and argues the real legacy of ideas is the people. He covers its history, philosophy, successes and failures.