## Sender Patterns to Wrangle Concurrency in Embedded Devices ## Michael Caisse michael.caisse@intel.com @MichaelCaisse  Sponsorship Provided By millennium think-cell ## Employing Senders and Receivers to Tame Concurrency in Embedded Systems Michael Caisse ![Image](/uploads/documents/b/6/3/4/b634ea0ff3787e922361221add7688ef/p44_1 CppCon @CppCon · Aug 29 CppCon 2024 SESSION ANNOUNCEMENT: Sender Patterns to Wrangle Concurrency in Embedded Devices by @MichaelCaisse cppcon2024.sched.com/event/1gZfH/se... Show more ![Image](/uploads

# Datasheet Debian – Ubuntu Fujitsu Server Edition (FSE) for PRIMERGY Servers ## I ntroduction Join Fujitsu and Bytec in backing the ideal open server operating system Debian and Ubuntu Fujitsu Server Debian - Ubuntu FSE Debian - Ubuntu FSE, the successor of debian FSE, has been upgraded for Fujitsu servers and in addition to drivers contains integrated ServerView agents for hardware monitoring, as well Debian 6.0 "squeeze" has been optimized for PRIMERGY servers and can be used for simple and reliable problem analysis on PRIMERGY servers. The ServerView agents and RAID tools are also fully integrated

## +24 ## Balancing Efficiency and Flexibility: Cost of Abstractions in Embedded Systems MARCELL JUHASZ  zühlke ## whoami measurement of runtime performance runtime performance (empirical) ## Base Firmware Absolute minimal embedded project: • Main function: • Consists of a single, empty infinite loop • Startup script: • Defines Zero-cost abstractions Architecture matters at runtime Negative-cost abstractions More C++ for the embedded world! Encapsulation Inheritance Dynamic Polymorphism Static Polymorphism template concept

## +23 ## Building Effective Embedded Systems: Architectural Best Practices ## GILI KAMMA ## 20 23 October 01 - 06 ## I am Gili Kamma I love technology & people 20 years of experience R&D Today’s spotlight: Exploring best practices in embedded systems, with a focus on operating systems Today’s spotlight: Exploring best practices in embedded systems, with a focus on operating systems Today’s Today’s take away: Practical tips for building better software, applicable not only to embedded systems but also to software in general ## Every rule presented here comes with an exception Software isn't

Power of C++ for Efficient Machine Learning on Embedded Devices ADRIAN STANCIU # Leveraging the power of C++ for efficient machine learning on embedded devices Adrian Stanciu adrian.stanciu.pub@gmail knowledge to make predictions ▶ Applications: ▶ Computer vision ▶ Medicine ▶ Search engines ## Embedded devices ## ▶ Computing devices designed to perform specific tasks within larger systems ▶ Applications: resources ▶ Low power consumption ▶ May have real-time performance constraints ## Machine learning on embedded devices Alternative to cloud-based machine learning Advantages: ▶ Real-time processing ▶ Low

8.1.3. Embedded Servlet Container Support 290 Servlets, Filters, and Listeners 290 Servlet Context Initialization 290 The ServletWebServerApplicationContext 291 Customizing Embedded Servlet Containers Template Engines 306 Error Handling 306 Web Filters 310 8.2.2. Embedded Reactive Server Support 311 Customizing Reactive Servers 311 8.2.3. Reactive Server Resources Configuration 314 8.3. Graceful 340 Data ..... 341 9.1. SQL Databases ..... 341 9.1.1. Configure a DataSource ..... 341 Embedded Database Support ..... 341 Connection to a Production Database ..... 342 DataSource Configuration

Error Handling ..... 135 Web Filters ..... 138 7.7.3. JAX-RS and Jersey ..... 138 7.7.4. Embedded Servlet Container Support ..... 140 Servlets, Filters, and listeners ..... 140 Servlet Context ServletWebServerApplicationContext ..... 141 Customizing Embedded Servlet Containers ..... 142 JSP Limitations ..... 144 7.7.5. Embedded Reactive Server Support ..... 144 7.7.6. Reactive Server ... 159 7.11. Working with SQL Databases ..... 159 7.11.1. Configure a DataSource ..... 159 Embedded Database Support ..... 159 Connection to a Production Database ..... 160 DataSource Configuration

Error Handling ..... 118 Web Filters ..... 119 5.7.3. JAX-RS and Jersey ..... 119 5.7.4. Embedded Servlet Container Support ..... 121 Servlets, Filters, and listeners ..... 121 Servlet Context ServletWebServerApplicationContext ..... 122 Customizing Embedded Servlet Containers ..... 122 JSP Limitations ..... 124 5.7.5. Embedded Reactive Server Support ..... 124 5.7.6. Reactive Server . 138 5.11. Working with SQL Databases ..... 138 5.11.1. Configure a DataSource ..... 138 Embedded Database Support ..... 138 Connection to a Production Database ..... 139 DataSource Configuration

Template Engines 278 Error Handling 279 CORS Support 287 8.1.2. JAX-RS and Jersey 288 8.1.3. Embedded Servlet Container Support 290 Servlets, Filters, and Listeners 290 Servlet Context Initialization Initialization 290 The ServletWebServerApplicationContext 291 Customizing Embedded Servlet Containers 292 JSP Limitations 297 8.2. Reactive Web Applications 297 8.2.1. The "Spring Engines 306 Error Handling 306 Web Filters 310 8.2.2. Embedded Reactive Server Support 311 Customizing Reactive Servers 311 8.2.3. Reactive Server Resources Configuration 314 8.3. Graceful

HttpMessageWriters Static Content Template Engines Error Handling Custom Error Pages JAX-RS and Jersey Embedded Servlet Container Support Servlets, Filters, and listeners Registering Servlets, Filters, and Scanning for Servlets, Filters, and listeners The ServletWebServerApplicationContext Customizing Embedded Servlet Containers Programmatic Customization Customizing ConfigurableServletWebServerFactory Security OAuth2 Client Actuator Security 29. Working with SQL Databases Configure a DataSource Embedded Database Support Connection to a Production Database Connection to a JNDI DataSource Using JdbcTemplate