benchmarks

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.

Linus Tech Tips reviews AMD's third-gen Ryzen 9 3900X and Ryzen 7 3700X at launch, testing gaming and workstation performance against Intel.

Chandler Carruth shows how to squeeze more performance out of already-optimized C++ code, covering how the CPU executes it. The talk goes into pipelining, branch prediction and speculative execution using benchmarks.

Nick Caston compares Unity's sample ECS/DOTS project (AngryBots) with his own from-scratch C++ and OpenGL clone. He benchmarks performance and discusses the effort involved in each approach.

Gamers Nexus benchmarks how the amount and application method of thermal paste affect CPU cooling. It compares pea-sized dots, thin spreads and large blobs with Thermal Grizzly Kryonaut.

Armin Ronacher, creator of Flask, explains how CPython's internals and C API leak into the language's semantics. Using examples like the complexity of the add operation, he shows why Python is hard to optimize or reimplement.

Ben Eater's short update announcing his plan to build another 8-bit computer from scratch on camera. It kicks off the breadboard computer series that became widely known.

Andrei Alexandrescu's CppCon 2015 talk argues that std::allocator is badly designed. He proposes building high-performance allocators from small composable, templated pieces.

Ben Eater starts a series building a working computer on breadboards around the 6502 microprocessor. In this first part he gets a 'hello world' running from scratch.

A DevGAMM talk by Jonathan Blow arguing that civilizations can lose technological capability and that software quality is already deteriorating. He discusses how knowledge fails to transfer between generations.

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.

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.

Casey Muratori's long talk arguing that modern software has ballooned to tens of millions of lines because of hardware and OS diversity. He proposes a stable ISA for entire system-on-a-chip packages and recalls when games shipped with their own boot disk.

Michael Steil's 33c3 talk explains essentially everything about the Game Boy: CPU, video hardware, peripherals, and the tricks used by games and demos. It revives the era of counting clock cycles around hardware limits.

Matt Kulukundis explains how Google designed SwissTable, a fast, cache-friendly hash table, step by step from std::unordered_map. The talk covers open addressing, SIMD probing and the tradeoffs of changing a fundamental data structure.

Rick Reed of WhatsApp explains at Erlang Factory 2014 how the service scaled to billions of messages with a very small engineering team. He covers the FreeBSD and Erlang stack, Mnesia usage, server counts and bottleneck work.

Gil Tene of Azul Systems explains common pitfalls in measuring latency and response time, including why averages mislead and the problem of coordinated omission. He introduces open source tools like HdrHistogram for better measurement and reporting.

Mike Acton of Insomniac Games argues that a program's purpose is transforming data, and shows how common C++ approaches work against that in performance-critical game development. He covers cache behavior, data layout and the limits of compilers.

Michael Steil and Christian Hessmann's 34C3 talk explaining the Apollo Guidance Computer end to end: hardware design, operating system, and mission software.

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.

Jonathan Blow's DevGAMM 2019 talk argues that software knowledge is being lost between generations and that growing layers of abstraction could lead to a decline in technological civilization.

Tom Murphy (suckerpinch) presents a deliberately trollish computer architecture built on IEEE-754 floating point, using NaN and infinity to define logic gates. He builds working hardware around the idea.

Christopher Domas presents at Black Hat 2017 how page fault analysis and processor fuzzing can exhaustively search the x86 instruction set. The talk uncovers undocumented instructions and hardware bugs and shows limits of disassemblers.

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.

A lecture by Richard Feynman on how computers work, using the analogy of a filing clerk that becomes progressively dumber and faster. It also covers heuristics and how computers handle data and solve problems in finite time.

Chandler Carruth's CppCon 2014 talk on writing fast C++, explaining why data structure choice and memory layout matter more than clever algorithms. It covers why standard containers like unordered_map perform poorly on modern CPUs.

Chandler Carruth argues in a CppCon 2019 talk that C++ has no truly zero-cost abstractions. Using examples like unique_ptr, ABI constraints and compile-time costs, he shows that abstractions cost runtime, compile time or human effort.

Andrei Alexandrescu's CppCon 2019 talk revisits sorting, showing how branchless tricks, hybrid strategies and a cost metric can speed up std::sort-style algorithms on modern hardware.

Jake Archibald's JSConf.Asia 2018 talk "In the Loop" explains the browser event loop, covering tasks, microtasks, requestAnimationFrame, and how rendering interleaves with JavaScript. It uses visual walkthroughs to show why code runs in surprising orders and why setTimeout fixes are unreliable.

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.

The 8-Bit Guy covers IBM's 1981 CGA graphics system, including how composite output and artifacting produced extra colors beyond the nominal palette. He argues CGA looked better in period than it does on RGB monitors.

Optiver's Carl Cook explains how to build high-frequency trading systems in C++, where the critical path runs rarely but must be extremely fast. He covers techniques for low and predictable latency, including avoiding main memory and cache misses.

A 2007 Google Tech Talk in which Cliff Click of Azul Systems presents a lock-free concurrent hash table that scales to 768 CPUs. He explains why it is correct by reasoning in a different way than usual happens-before and memory-order arguments.

Zach Tellman's Clojure West talk covers the basics of queueing theory and its practical use in systems, including backpressure, how queues break down under load, and pitfalls of naive core.async use.

Admiral Grace Hopper holds up a length of wire to show how far light travels in a nanosecond, about 11.8 inches. She explains how she made the idea concrete to people who could not picture a billionth of a second.

Larry Hastings explains what Python's GIL is, what problems it solves and how it works, and presents his Gilectomy project to remove it, including the performance and C-extension obstacles.

SpaceX engineers present at NVIDIA's GPU Technology Conference on a multi-physics code that simulates the full-scale Raptor methane engine. It covers GPU-based turbulent combustion modeling with adaptive grids and wavelet compression.

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.