## 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:

will be towards achieving data determinism via: • Deterministic execution $ ^{2} $ will always run computations in the same order. - Deterministic communication $ ^{2} $ is when, for a message going communication is guaranteed to be complete always before or always after B executes. Also, to be data deterministic, any computation should not use system interfaces or other library calls (other than ROS messages) that expired 6. Test simulation scenarios in the CI ## Determinism and challenges with ROS Deterministic resource usage and runtime is necessary for a safety-critical system Dynamic memory allocation

68ce28/p41_1.jpg) This is the monstrosity in love, lady, that the will is infinite, and the execution confined; that the desire is boundless, and the act a slave to limit. ## Every question has an

ELIAS FARHAN 20 24 September 15 - 20 ## Summary • Introduction • Why is it hard? - Why deterministic simulation? • What is rollback? • Implementation details • Debugging • Improvements  Client 2 Local Game State ## Deterministic simulation Initial state GameSystems::Tick() on Nintendo Switch ARM Cortex-A57 ![Image](/u Desktop PC Intel Core i7-8700K New state New state With a deterministic simulation, we mostly need to send player inputs! ## Deterministic lock-step For example in Age of Empires. From the article

## 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

## The Vitess Documentation ## Contents Concepts ..... 11 Cell ..... 11 Execution Plans ..... 11 Keyspace Graph ..... 11 Partitions ..... 12 Served From ..... 12 Keyspace ID ..... 12 Keyspace 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

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

## Concepts ## Contents Cell ..... 19 Execution Plans ..... 19 Keyspace ID ..... 20 Keyspace ..... 20 MoveTables ..... 20 Identifying Candidate Tables ..... 20 Query Rewriting ..... 20 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

computed during the execution of the algorithm. ## Execution policies Most algorithms have overloads that accept execution policies. The standard library algorithms support several execution policies, and the library provides corresponding execution policy types and objects. Users may select an execution policy statically by invoking a parallel algorithm with an execution policy object of ## ChatGPT ## Brainstorm proven nth/max_element • Much more efficient than sort • Works for any sortable range - Supports execution policies, comparison functions, concepts/requirements • Hides confusing iterator pair Midpoint

5/8/7b58a13dc048f4445e8d5567c733b603/p7_2.jpg) Simplified APIs. Focused on Keras and eager execution Easy  ![Image 分布式和高性能的 Keras • 构建和训练模型的高层次 API • API 完全兼容原生 Keras - 支持保存和加载 TensorFlow SavedModel • 支持 Eager Execution - 支持分布式训练 tf.data：功能强大的数据管理模块 ![Image](/uploads/documents/7/b/5/8/7b58a13dc048f4445e8d5567c733b603/p17_1