Michael A Maniscalco ○ Software Architect and Principal Developer at Lime Trading ○ We develop low latency market data and trading software for use in HFT ● Personal ○ github.com/buildingcpp ■ Work Contracts = hash_task<64>; // duration = approx 1.1µs using low_contention_task = hash_task<256>; // duration = approx 4.2µs void bench() { bench<low_contention_task>(); bench(); = hash_task<64>; // duration = approx 1.1µs using low_contention_task = hash_task<256>; // duration = approx 4.2µs void bench() { bench<low_contention_task>(); bench();

Go GC: Latency Problem Solved Rick Hudson Google Engineer GopherCon Denver July 8, 2015 Google Confidential and Proprietary My Codefendants: The Cambridge Runtime Gang https://upload.wikimedia.o Software++ Hardware++ Hardware++ HW++ HW++ Software++ Software++ Software++ #1 Barrier: GC Latency Google Confidential and Proprietary When is the best time to do a GC? When nobody is looking. Google Confidential and Proprietary Or Trade Throughput for Reduced GC Latency Google Confidential and Proprietary Latency Nanosecond 1: Grace Hopper Nanosecond 11.8 inches Microsecond 5

Designing an ultra low-overhead multithreading runtime for Nim Mamy Ratsimbazafy mamy@numforge.co Weave https://github.com/mratsim/weave Hello! I am Mamy Ratsimbazafy During the day blockchain/Ethereum viable runtime plan in a weekend 4 Understanding the design space Concurrency vs parallelism, latency vs throughput Cooperative vs preemptive, IO vs CPU 1 5 Parallelism is not concurrency 6 Kernel multithreading runtime level. The problem 8 How to schedule M tasks on N hardware threads? Latency vs Throughput 9 - Do we want to do all the work in a minimal amount of time? - Numerical computing

Leveraging C++20/23 Features for Low Level InteractionsOverview In a baremetal environment, we’re going to demonstrate e�ective use of C++ How did we end up with C language HW interactions? What are best cleaner, safer, and more testable?Why is C so proli�c? It’s the kernel, silly! 30 years ago, all low level interaction was done with C Organizations are very comfortable with C in embedded applications

Options Automated Trading Systems team at Optiver, a global market maker company - Worked on low-latency systems for 15 years in Trading and DefenseIntroduction 3 • About me - Leading the Options Automated Optiver, a global market maker company - Worked on low-latency systems for 15 years in Trading and Defense • Today’s talk - Engineering low-latency trading systems - Profiling techniques to find bottlenecks related to being fastBeing fast to get the trades – and to be accurate! 11 Ultra low-latency execution (< 1μs) Low-latency strategy layer (1-10 μs)Order book deep dive “The order book is the heart of any

Things happening in SG14 Making C++ better for game development & other low-latency domains Patrice Roy, CeFTI, Université de Sherbrooke, Collège Lionel-Groulx Patrice.Roy@USherbrooke.ca, Patrice.Roy@clg WG21 and WG23 member (but I missed recent WG23 meetings) • Involved quite a bit with SG14, the low-latency study group • Occasional WG21 secretary • etc. 3Who am I? • Father of five, aged 28 to 10 • WG21 and WG23 member (but I missed recent WG23 meetings) • Involved quite a bit with SG14, the low-latency study group • Occasional WG21 secretary • etc. 4Things happening in SG14 • The abstract of this

extern unifex::static_thread_pool low_latency; extern unifex::static_thread_pool workers; ex::sender auto accept_and_process_requests() { return ex::on(low_latency.get_scheduler(), accept_request()) request) { process_request(request); }) | unifex::repeat_effect(); } Accept requests on low-latency threads. Process the requests on the worker threads.16 EXAMPLE: TRANSITIONING EXECUTION CONTEXT unifex::static_thread_pool low_latency; extern unifex::static_thread_pool workers; unifex::task accept_and_process_requests() { while (true) { auto request = co_await ex::on(low_latency.get_scheduler()

Matrix-matrix: matrix multiply, triangular solve with multiple vectors, symmetric matrix update • Layer 1: Low-level math problems • Linear systems 𝐴𝑥 = 𝑏 (& determinants, etc.) • Least-squares problems min Matrix-matrix: matrix multiply, triangular solve with multiple vectors, symmetric matrix update • Layer 1: Low-level math problems • Linear systems 𝐴𝑥 = 𝑏 (& determinants, etc.) • Least-squares problems min Matrix-matrix: matrix multiply, triangular solve with multiple vectors, symmetric matrix update • Layer 1: Low-level math problems • Linear systems 𝐴𝑥 = 𝑏 (& determinants, etc.) • Least-squares problems min

cluster-connection was changed to 1MB to mitigate potential OutOfMemoryErrors in environments with with high latency networking. 2.21.0 Full release notes. Highlights: MQTT 5 is now supported. A new set of performance round trip time, or latency of your network. With an asynchronous system you can pipeline flows of messages in different directions, so are limited by the network bandwidth not the latency. This typically Default is true . Note: automatic queue creation does not work for the core client. The core API is a low-level API and is not meant to have such automation. auto-delete-queues . Whether or not the broker