## +24 ## Multi Producer, Multi Consumer, Lock Free, Atomic Queue User API and Implementation ... ## EREZ STRAUSS ## Lockfree, MPMC Queue - Legal All Statements and representations are my own and do MPMC Queue - Agenda 1. Trading Platform, Latency 2. Queues Environment 3. Queues Requirement 4. Atomic hardware and C++ Atomic 5. Queues Classification 6. Queue creation, push, pop 7. Queue internals internals 8. Testing 9. Performance - Benchmarking ## Lockfree, MPMC Queue - Background Trading platform - every message is tracked, at microseconds resolution - Queues are essential data structure used

## +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

## +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

http://github.com/ask/celery/ Keywords task queue, job queue, asynchronous, rabbitmq, amqp, redis, Django, Python, Webhooks, queue, distributed Celery is a task queue/job queue based on distributed message passing workload. The result of the task can be stored for later retrieval (called its “tombstone”). #### 1.1.2 Example You probably want to see some code by now, so here’s an example task adding two numbers: from from celery.decorators import task @task def add(x, y): return x + y You can execute the task in the background, or wait for it to finish: >>> result = add.delay(4, 4) >>> result

version of Celery (2.2). For the latest stable version please go here. ## Celery - Distributed Task Queue Contents: • Getting Started • Introduction • Broker Installation • First steps X • First steps with Celery • Creating a simple task • Configuration • Running the celery worker server • Executing the task • Where to go from here • Resources • Getting com/ask/celery/ Keywords: task queue, job queue, asynchronous, rabbitmq, amqp, redis, python, webhooks, queue, distributed Celery is an open source asynchronous task queue/job queue based on distributed message

## +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

## Welcome to Django Q Django Q is a native Django task queue and worker application using Python multiprocessing. ## Features • Multiprocessing worker pool • Asynchronous tasks • Scheduled and repeated 'timeout': 60, 'compress': True, 'save_limit': 250, 'queue_limit': 500, 'cpu_affinity': 1, 'label': 'Django Q', 'redis': several projects using the same Redis server. ## Note Tasks are encrypted. When a worker encounters a task it can not decrypt, it will be discarded. ## workers The number of workers to use in the cluster

Redelivery and Undelivered Messages 1.27 Message Expiry 1.28 Large Messages 1.29 Paging 1.30 Queue Attributes 1.31 Scheduled Messages 1.32 Last-Value Queues 1.33 Message Grouping 1.34 Extra asynchronous messaging: message queue messaging (also known as point-to-point messaging) and publish subscribe messaging. We'll summarise them briefly here: ## The Message Queue Pattern With this type of of messaging you send a message to a queue. The message is then typically persisted to provide a guarantee of delivery, then some time later the messaging system delivers the message to a consumer. The

Duplicate Message Detection 1.58 Clusters 1.59 Federation 1.60 Address Federation 1.60.1 Queue Federation 1.60.2 High Availability and Failover 1.61 Graceful Server Shutdown 1.62 Libaio Native auto-delete-addresses-delay Address Settings. • Support logging HTTP access. • Add a CLI command to purge a queue. - Support user and role manipulation for PropertiesLoginModule via management interfaces. • Docker Support SASL_EXTERNAL for AMQP clients. - New examples showing virtual topic mapping and exclusive queue features. #### 2.5. 0 Full release notes. Highlights: • Exclusive consumers. • Equivalent ActiveMQ

## 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