GPU Tile 1 Tile 0 Xe LinkProject Goals - Offer high-level, standard C++ distributed data structures - Support distributed algorithms - Achieve high performance for both multi-GPU, NUMA, and multi-node reduce(par_unseq, z, 0, std::plus()); }Outline - Background (Ranges, Parallelism, Distributed Data Structures) - Distributed Ranges (Concepts) - Implementation (Algorithms and views) - Complex sparse matrices) - Lessons learnedOutline - Background (Ranges, Parallelism, Distributed Data Structures) - Distributed Ranges (Concepts) - Implementation (Algorithms and views) - Complex

© 2018 Percona. 1 Peter Zaitsev Using MySQL for Distributed Database Architectures CEO, Percona PingCAP Infra Meetup, Shanghai, China, May 26, 2018 © 2018 Percona. 2 About Percona Solutions enterprises © 2018 Percona. 3 Presentation Cover Basics Why Going Distributed How to do it © 2018 Percona. 4 Distributed ? MySQL Deployment on More than one System © 2018 Percona. 5 Modern Active Users Possible 15M of Daily Active Users counting time of day skew © 2018 Percona. 8 Distributed Systems Tend To be More Complicated to Develop Against More Complicated to Operate Have

Updates to a shared chat / drawing canvas – Game events © Joe Mertz – Mobile to Cloud: Building Distributed Applications • Workarounds have been devised • E.g. Polling – Client continuously polls the server stamp for the next time he wants to send a letter. © Joe Mertz – Mobile to Cloud: Building Distributed Applications • Provides for true two-way ongoing communication between a client and server. Note: – Some old browsers don't implement WebSockets © Joe Mertz – Mobile to Cloud: Building Distributed Applications // Create a new WebSocket var wSocket = new WebSocket("ws://www.example.com/socketserver")

program for a supercomputer? Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUsThis Talk Background: how do we write a program for a supercomputer supercomputer? Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUsThis Talk Background: how do we write a program for a supercomputer? Introduce Introduce PGAS Model, RDMA Building Remote Pointer Types Building Distributed Data Structures Extending to GPUsThis Talk Background: how do we write a program for a supercomputer? Introduce PGAS Model

address here. 法律通告 法律通告 Copyright © 2022 | You need to change the HOLDER entity in the en-US/Distributed_tracing.ent file |. The text of and illustrations in this document are licensed by Red Hat under OpenShift distributed tracing 2.5 的新功能和增强 1.4.1.1. Red Hat OpenShift distributed tracing 2.5 支持的组件版本。 1.4.2. Red Hat OpenShift distributed tracing 2.4 的新功能和功能增强 1.4.2.1. Red Hat OpenShift distributed tracing 支持的组件版本 1.4.3. Red Hat OpenShift distributed tracing 2.3.1 的新功能和功能增强 1.4.3.1. Red Hat OpenShift distributed tracing 版本 2.3.1 支持的组件版本 1.4.4. Red Hat OpenShift distributed tracing 2.3.0 的新功能和功能增强 1.4.4

发行注 行注记 记 1.1. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 3.0 发行注记 1.2. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.9.2 发行注记 1.3. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.9.1 发行注记 1.4 4. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.9 发行注记 1.5. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.8 发行注记 1.6. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.7 发行注记 1.7. RED HAT OPENSHIFT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.6 发行注记 1.8. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.5 发行注记 1.9. RED HAT OPENSHIFT DISTRIBUTED TRACING PLATFORM 2.4 发行注记 1.10. RED HAT OPENSHIFT DISTRIBUTED TRACING

26 Inline Expression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Distributed Primary Key . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Hint Sharding Route Pagination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4.3 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.3.1 Background 165 Governance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 DistSQL . . .

1.8 Appendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 3.2 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 3.2.1 Background Implementation classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 5.10 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 5.10.1 can not cast to Long exception occurs. . . . . . . . . 458 8.3.6 Sharding Why is the default distributed auto‐augment key strategy provided by ShardingSphere not continuous and most of them end with

1.8 Appendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3.2 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3.2.1 Background Implementation classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344 5.10 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344 5.10.1 can not cast to Long exception occurs. . . . . . . . . 497 8.3.6 Sharding Why is the default distributed auto‐augment key strategy provided by ShardingSphere not continuous and most of them end with

Data Sharding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.2 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.3 Database Governance 14 Inline Expression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Distributed Primary Key . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Hint Sharding Route Pagination . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 3.2 Distributed Transaction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 3.2.1 Background