## Remote Execution Caching Compiler (RECC) Engineering CppCon 2024 September 19, 2024 Shivam Bairoliya Software Engineer TechAtBloomberg.com © 2024 Bloomberg Finance L.P. All rights reserved. ## ## What is RECC? • Remote Execution Caching Compiler (RECC) Open source build tool that wraps compiler commands and optionally forwards them to a remote build execution service Encompasses the capabilities CC) o Supports multiple operating systems (Linux, macOS, Solaris) - Compatible with any remote execution API server supported by Bazel ☐ Single Host Server/Proxy: BuildBox-CASD ☐ Distributed Server:

## +23 ### BehaviorTree.CPP: Task Planning for Robots and Virtual Agents ## DAVIDE FACONTI ## 20 23 October 01 - 06 ## What you will learn today 1. What Behavior Trees are 2. About the C++ library ments/8/d/b/6/8db662e9d441565a9dd326035c73ae34/p7_1.jpg) ## Robot Behaviors This Coordinator or Task Planner is also the highest level of abstraction of our system, where we focus on WHAT the robot does current state of the tree in real-time to an external process (GUI). - Collect statistics about the execution of the tree and the actions in a non-intrusive way. ## Code injection and interactive debugging

## +24 ## Work Contracts Rethinking Task Based Concurrency and Parallelism for Low Latency C++ MICHAEL A MANISCALCO ### “We cannot solve our problems with the same thinking we used when we created them So what is there to Rethink? ## Rethinking: Task Queues  ## Problem #1 - Task Queues Do Not Scale Well: • Contention: ☐ problems: ☐ Task starvation ☐ Load balancing ☐ Forfeits strict FIFO behaviour ○ Increases memory footprint (or requires allocations) ☐ Terrible task selection "fairness" ## Rethinking: Task Queues

## +23 ## Taro: Task graph-based Asynchronous Programming Using C++ Coroutine DIAN-LUN LIN 20 23 October 01 - 06 ## Agenda • Understand the motivation behind Taro • Learn to use the Taro C++ programming application • Conclusion ## What is Task Graph-based Programming System (TGPS) • TGPS encapsulates function calls and their dependencies in a top-down task graph ## What is Task Graph-based Programming System function calls and their dependencies in a top-down task graph  ## What is Task Graph-based Programming System (TGPS) • TGPS encapsulates

and Inline Resources 87 6.2.2. Creating Email Content by Using a Templating Library 89 7. Task Execution and Scheduling 90 7.1. The Spring TaskExecutor Abstraction 90 7.1.1. TaskExecutor Types 90 2.3. TaskScheduler implementations 94 7.3. Annotation Support for Scheduling and Asynchronous Execution 95 7.3.1. Enable Scheduling Annotations 95 7.3.2. The @Scheduled annotation 96 7.3.3. The vulnerabilities due to unsafe Java deserialization: Manipulated input streams can lead to unwanted code execution on the server during the deserialization step. As a consequence, do not expose HTTP invoker endpoints

pages 38 1.12 Architecture 41 1.13 Examples 43 Python Module Index Django Q is a native Django task queue, scheduler and worker application using Python multiprocessing. ## Features • Multiprocessing queue name. Defaults to 'default'. Note: Tasks are encrypted. When a worker encounters a task it can not decrypt, it will be discarded or failed. #### 1.2.2 workers The number of workers to basis. Defaults to 500. #### 1.2.4 timeout The number of seconds a worker is allowed to spend on a task before it’s terminated. Defaults to None, meaning it will never time out. Set this to something that

the current stable version of Celery (4.0). For development docs, go here. ## Celery - Distributed Task Queue Celery is a simple, flexible, and reliable distributed system to process vast amounts of messages operations with the tools required to maintain such a system. It’s a task queue with focus on real-time processing, while also supporting task scheduling. Celery has a large and diverse community of users and Getting Started Release: 4.0 Date: Dec 09, 2016 • Introduction to Celery. • What's a Task Queue? • What do I need? • Get Started • Celery is... • Features • Framework

perspective. Coding skill is just one small part of writing correct programs. The majority of the task is the subject of the three previous columns: problem definition, algorithm design, and data structure end of the specified time, almost all the programmers reported that they had correct code for the task. We would then take 30 minutes to examine their code, which the programmers did with test cases. In programmers were able to get this small program right. But they aren't the only ones to find this task difficult. In the history in Section 6.2.1 of his Sorting and Searching, Knuth points out that while

## Celery - Distributed Task Queue Contents: • Getting Started • Introduction • Broker Installation • First steps with Celery • First steps with Django • Periodic Tasks Configuration and defaults • Example configuration file • Concurrency settings • Task result backend settings • Database backend settings • AMQP backend settings • Cache • MongoDB backend settings • Messaging settings • Task execution settings • Worker: celeryd • Periodic Task Server: celerybeat • Monitor Server: celerymon • Cookbook

## The Vitess Documentation ## Contents Concepts ..... 18 Cell ..... 18 Execution Plans ..... 18 Keyspace ID ..... 19 Keyspace ..... 19 MoveTables ..... 19 Identifying Candidate Tables . cell. Writes will go cross-cell when necessary, to wherever the master for that shard resides. ## Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying