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

Tyler Weaver ● Chris Thrasher ● Brian Cairl ● Everyone else at PickNik Thanks to:Bilal Gill Leveraging a Functional Approach for More Testable and Maintainable ROS 2 Code Thank you! All code and

Leveraging the power of C++ for efficient machine learning on embedded devices Adrian Stanciu adrian.stanciu.pub@gmail.com CppCon, 2023 1 / 50About me ◮ I am a software engineer from Romania ◮ I have

Grace, Apex.Ida, Apex.Alan, Apex.Ray are trademarks of Apex.AI. CppCon 2023 Building bridges: Leveraging C++ and ROS for simulators, sensor data and algorithms Divya Aggarwal October 5, 2023© 2023

| CONFIDENTIAL Leveraging Istio for Creating API Tests Low Effort API Testing for Microservices | CONFIDENTIAL • What has changed? – Migration to microservices triggering need for extensive

State of the UI: Leveraging Kubernetes Dashboard and Shaping its Future Dan Romlein UX Designer, Google Spencer Sugarman UX Researcher, Google Talk Goals 1. What Dashboard is and why you should

paper. NVIDIA's implementation of BERT is an optimized version of the Hugging Face implementation, leveraging mixed precision arithmetic and Tensor Cores on V100 GPUs for faster training times while maintaining be found here. NVIDIA’s Mask R-CNN model is an optimized version of Facebook’s implementation, leveraging mixed precision arithmetic using Tensor Cores on NVIDIA Tesla V100 GPUs for 1.3x faster training paper. NVIDIA's implementation of BERT is an optimized version of the Hugging Face implementation, leveraging mixed precision arithmetic and Tensor Cores on V100 GPUs for faster training times while maintaining

scalability optimization during Knative Service provisioning ○ Unleash maximum scalability by fully leveraging Istio features in Knative with service mesh enabled ● Reference Agenda #IstioCon Knative and during periods of high configuration churn 30s #IstioCon Unleash maximum scalability by fully leveraging Istio features in Knative with service mesh enabled • Enable Istio mesh on Knative – Data flow costs ~2 seconds for Knative application pod cold start. Unleash maximum scalability by fully leveraging Istio features in Knative with service mesh enabled • Enable Istio mesh on Knative – Impact without

lists Intelligently executing tasks with execute Failure handling Connections Password management Leveraging native SSH config files fab 选项和参数 基本应用 直接执行远程命令 命令行参数 Per-task arguments 配置文件 Fabfile 文件的结构和使用 ssh_config_path Default: $HOME/.ssh/config 用于设置备用 SSH 配置文件路径。 1.4 新版功能. 参见 --ssh-config-path、Leveraging native SSH config files ok_ret_codes Default: [0] 列表中的代码用于标记 run/sudo/sudo 命令是否成功调用了。 1.6 新版功能 env.shell 中。 use_ssh_config Default: False 设置为 True Fabric 将会导入本地 SSH 配置文件。 1.4 新版功能. 参见 Leveraging native SSH config files user Default: 用户的默认用户名 SSH 层连接远程服务器时用到的用户名，可以设置为全局，在不显式指定的情 况下都会被应用

lists Intelligently executing tasks with execute Failure handling Connections Password management Leveraging native SSH config files fab 选项和参数 基本应用 直接执行远程命令 命令行参数 Per-task arguments 配置文件 Fabfile 文件的结构和使用 ssh_config_path Default: $HOME/.ssh/config 用于设置备用 SSH 配置文件路径。 1.4 新版功能. 参见 --ssh-config-path、Leveraging native SSH config files ok_ret_codes Default: [0] 列表中的代码用于标记 run/sudo/sudo 命令是否成功调用了。 1.6 新版功能 env.shell 中。 use_ssh_config Default: False 设置为 True Fabric 将会导入本地 SSH 配置文件。 1.4 新版功能. 参见 Leveraging native SSH config files user Default: 用户的默认用户名 SSH 层连接远程服务器时用到的用户名，可以设置为全局，在不显式指定的情 况下都会被应用