NIC GPU GPU GPU GPU Xe LinkMulti-GPU Systems - NUMA regions: - 4+ GPUs - 2+ CPUs CPU NIC GPU GPU GPU GPU Xe LinkMulti-GPU Systems - NUMA regions: - 4+ GPUs - 2+ CPUs - Systems becoming data structures - Support distributed algorithms - Achieve high performance for both multi-GPU, NUMA, and multi-node execution float dot_product(vector& x, vector& y)

16 bytes, and for other data types ● gcc / clang -mcx16 – avoid calling the atomic library ● Numa consideration: – entries array on reader side 19 CppCon 2024 | Erez Strauss | Lockfree, MPMC Queue

Protobuf110 FastQueue – Going even further • Bulk Writing • Duplicate Queue Header on “remote” NUMA nodeMeasurements in low-latency trading systems 115Measurements in low-latency trading systems

accept a "policy-aware scheduler." ● This scheduler combines an execution policy ("how") and a scheduler ("where"). ● The execute_on function facilitates the creation of such policy-aware schedulers. Design Design Goals: ● Extending C++ parallel algorithms with policy-aware schedulers. ● Allowing customization for different execution contexts. ● ● Preserve core semantics of algorithms and policies ● Cover Concepts 1. policy_aware_scheduler 2. execute_on 3. Customizable functions ● ● The execution_policy concept defines the requirements for execution policies. ● The policy_aware_scheduler concept represents

40 m / s^2 10 m 20 m / s 30 km / h 31.4Unit-aware inverses https://aurora-opensource.github.io/au/main/reference/math/#inverse-functions 32Unit-aware inverses https://aurora-opensource.github.io/ 1Unit-aware inverses https://aurora-opensource.github.io/au/main/reference/math/#inverse-functions f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs 32.2Unit-aware inverses 0.0025 s = 2 500 μs f = 400 Hz T = 1/f = 0.0025 s = 2 500 μs Solve for (units of) 1... 32.3Unit-aware inverses https://aurora-opensource.github.io/au/main/reference/math/#inverse-functions f = 400 Hz

motivation behind Taro • Learn to use the Taro C++ programming model • Dive into the Taro’s coroutine-aware scheduling algorithm • Evaluate Taro on microbenchmarks and a real-world application • Conclusion motivation behind Taro • Learn to use the Taro C++ programming model • Dive into the Taro’s coroutine-aware scheduling algorithm • Evaluate Taro on microbenchmarks and a real-world application • Conclusion motivation behind Taro • Learn to use the Taro C++ programming model • Dive into the Taro’s coroutine-aware scheduling algorithm • Evaluate Taro on microbenchmarks and a real-world application • Conclusion

please read the Conan 2 Migration guide , to start preparing your package recipes to 2.0 and be aware of some changes while you still work in Conan 1.X. That guide summarizes the above mentioned backports that are fully transparent CMake integration (i.e. the consuming CMakeLists.txt doesn’t need to be aware at all about Conan). These integrations can also achieve a better IDE integration, for example via that you can uncompress in your system and run directly. Warning: If you are using macOS, please be aware of the Gatekeeper feature that may quarantine the compressed binaries if downloaded directly using

please read the Conan 2 Migration guide , to start preparing your package recipes to 2.0 and be aware of some changes while you still work in Conan 1.X. That guide summarizes the above mentioned backports that are fully transparent CMake integration (i.e. the consuming CMakeLists.txt doesn’t need to be aware at all about Conan). These integrations can also achieve a better IDE integration, for example via that you can uncompress in your system and run directly. Warning: If you are using macOS, please be aware of the Gatekeeper feature that may quarantine the compressed binaries if downloaded directly using

please read the Conan 2 Migration guide , to start preparing your package recipes to 2.0 and be aware of some changes while you still work in Conan 1.X. That guide summarizes the above mentioned backports that are fully transparent CMake integration (i.e. the consuming CMakeLists.txt doesn’t need to be aware at all about Conan). These integrations can also achieve a better IDE integration, for example via that you can uncompress in your system and run directly. Warning: If you are using macOS, please be aware of the Gatekeeper feature that may quarantine the compressed binaries if downloaded directly using

please read the Conan 2 Migration guide , to start preparing your package recipes to 2.0 and be aware of some changes while you still work in Conan 1.X. That guide summarizes the above mentioned backports that are fully transparent CMake integration (i.e. the consuming CMakeLists.txt doesn’t need to be aware at all about Conan). These integrations can also achieve a better IDE integration, for example via that you can uncompress in your system and run directly. Warning: If you are using macOS, please be aware of the Gatekeeper feature that may quarantine the compressed binaries if downloaded directly using