pc performance

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.

Emery Berger's CppCon 2020 plenary on why performance is hard on modern hardware after the end of Dennard scaling. It covers benchmarking pitfalls and introduces new profiling tools for finding real bottlenecks.

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.

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 CppCon 2018 talk arguing that OOP has failed to deliver on reuse and performance, and presenting data-oriented design for C++ with practical worked examples from real systems.

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.

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.

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.

Gor Nishanov's CppCon 2018 talk on using tiny C++ coroutines to hide memory latency, interleaving useful work while prefetches bring cache lines in from main memory.

Urban Bruhin, LibrePCB's main author, introduces the open-source EDA tool at FOSDEM 2018. He explains why he started it and how its library concepts differ from KiCAD.

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.

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

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.

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.

At CppCon 2017 Herb Sutter presents his work on evolving C++ through compile-time code generation, including metaclasses and reflection. The aim is to make the language both more powerful and simpler by letting programmers express intent directly.

A Google Tech Talk on Yahoo's 14 rules for faster web pages and the YSlow tool. It covers front-end practices like avoiding @import and fixing ETags, with live analysis of popular sites.

Malte Skarupke's C++Now 2018 talk on hash table performance, explaining why std::unordered_map is slow and memory hungry and presenting faster designs, including his bytell hash map.

Kate Gregory argues at CppCon 2015 that C++ should be taught without starting from C: no char* strings, printf or raw arrays at first, with references before pointers.

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.

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.

Herb Sutter's CppCon 2022 talk on whether C++ can become ten times simpler and safer. He introduces his experimental Cpp2 syntax and the cppfront transpiler, explaining the limits on incremental improvement.

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.

Nicholas Ormrod's CppCon 2016 talk on how Facebook optimizes std::string with its open-source replacement fbstring. It covers storage layout tradeoffs, small string optimization and memory allocation behavior.

Sean Parent's CppCon 2015 talk on better use of standard containers and the goal of having no incidental data structures. It argues that proper containers can greatly simplify code.

Dan Saks's CppCon 2016 talk on why C programmers resist C++ and how to talk to them about it. He argues that persuasion rarely works by arguing and examines the culture gap between the two communities.

Fedor Pikus's CppCon 2017 talk on C++ atomics, looking at what they let the programmer express and what the hardware actually does. It covers memory ordering and lock-free programming from basic to advanced.

Timur Doumler's CppCon 2015 talk on how C++ is used in the audio industry. It covers the patterns and tools audio developers rely on, including handling real-time constraints.

A CppCon 2014 talk from Microsoft engineers on using portable single-source C++ to deliver Office across iOS, Android, Windows and Mac. It covers architectures, techniques and lessons from real cross-platform projects.

Andrei Alexandrescu's CppCon 2015 talk on handling exceptional control flow declaratively in C++. It uses scope guards with success and failure variants, built on std::uncaught_exceptions, to replace ad hoc RAII classes and rethrowing try/catch blocks.

Hana Dusikova's CppCon 2018 talk presenting a C++ library that builds regular expressions from compile-time strings, using a C++20 feature. It avoids runtime parsing cost and covers implementation details, problems she hit, and benchmarks.

Kate Gregory's CppCon 2017 talk picks ten highlights from the C++ Core Guidelines and shows examples and benefits for each. It is aimed at C++ developers of any experience level who have not read the full guidelines.

Nicolai Josuttis's CppCon 2018 talk walks through the many forms of initialization in C++, including uniform initialization, and how their rules and effects differ. He argues the situation is confusing enough that nobody can say what to teach beginners.

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.

Louis Brandy presents the most common and infamous recurring C++ bugs seen in Facebook's huge codebase, including shared_ptr data races and operator[] pitfalls. He explains the surprising complexity behind seemingly simple code.

Matt Kulukundis reviews two years of Abseil's Swiss table hashtable, covering post-release optimizations, lessons from rolling it out across Google, design choices, and what global monitoring revealed.

Hyrum Wright shares lessons from five years of mass code migrations in Google's huge C++ codebase. He covers why to migrate, how hard it really is, and how Google updates core libraries and their users continually.

Herb Sutter revisits basic C++ questions in light of C++11 and C++14: how to declare and initialize variables, pass values to functions, write loops, and use smart pointers. It covers auto, rvalue references, range-for, uniform initialization, lambdas, unique_ptr and shared_ptr.

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.

Rick Hartley's AltiumLive keynote on differential pairs in PC boards. He argues the rules from cables and twisted pairs do not carry over, and covers which pair geometry gives the best impedance control, the right spacing, routing practice and how much skew is acceptable.

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.