application for a complete example that uses authentication (and stores user data in a PostgreSQL database). Third party authentication The tornado.auth module implements the authentication and authorization initialize(). Example: class ProfileHandler(RequestHandler): def initialize(self, database): self.database = database def get(self, username): (continues on next page) 6.2. Web framework 41Tornado (continued from previous page) ... app = Application([ (r'/user/(.*)', ProfileHandler, dict(database=database)), ]) RequestHandler.prepare() → Awaitable[None] | None Called at the beginning of a request

mos/blog] for a complete example that uses authentication (and stores user data in a PostgreSQL database). Third party authentication The tornado.auth module implements the authentication and authorization initialize(self, database): self.database = database def get(self, username): ... app = Application([ (r'/user/(.*)', ProfileHandler, dict(database=database)), ]) RequestHandler get_user_locale, which you can override to set the locale based on, e.g., a user preference stored in a database, or get_browser_locale, which uses the Accept-Language header. RequestHandler.log_exception(typ:

System (CurveFS) • CurveFS: a high performance cloud native file systemUse Cases • Container • Database • Data apps(middleware/bigdata/ai) • Data backupContainer • Aggregates underlying storage container-native storageDatabase • Database services orchestrated in the cloud • Curve can backup / sync data to slave cloud • When master cloud failure happens, Database service can move to the slave horizontal / vertical scaling, auto config tuning, abnormal detection and schedule tuningStorage Engine Comparison (vs. Ceph) DATA CONSISTENT PROTOCOL CURVE (RAFT) CEPH WRITE SUCCESS majority write successful

Telegraph Electrification Mass Steel Production Mass Production & Assembly Lines Internal Combustion Engine Flight Synthetic Fertilizer Transistors PCs Internet Smartphones Cloud12 …Technology Compounding designate particularly influential models within the AI/machine learning ecosystem. Epoch maintains a database of 900 AI models released since the 1950s, selecting entries based on criteria such as state-of-the-art at the center of the AI hardware stack. Its GPUs (graphics processing units) became the default engine for training and inference, prized for their ability to handle highly parallel computations at

real-time analytics and search in one system, meaning you don't need to manage a separate search engine. Power AI-driven applications: CrateDB is designed with AI in mind, offering capabilities such as and management, ensuring that teams can leverage existing skills and tools to interact with the database. Seamless integration: CrateDB easily integrates with external tools and services, enabling businesses

rights reserved. Amazon/Intel Confidentia Presenter: Zhi Chen, Cody Yu Amazon SageMaker Neo, Deep Engine Science Bring Your Own Codegen to TVM AWS AI© 2019, Amazon Web Services, Inc. or its Affiliates Implement extern operator functions, OR 2. Implement a graph annotator Generate binary/library/engine for the subgraph ● Implement an IR visitor for codegen ● Implement the build logic© 2019, Amazon Implement the Codegen ● Implement a codegen class to accept subgraphs and build binary/library/engine for runtime dispatching ● Codegen path: src/relay/backend/contrib//codegen.cc

CURVE Roadmap CURVE Community You can take awayDesign objectives App scenario & requires ● Database scenario ● Elastic block Storage for KVM / Kubernetes / iSCSI Design objectives ● Thin provisioning take awayPerformance in database scenario Solution architecture ● CURVE provides underlying distributed shared storage services ● Polardb for PostgreSQL provides database services Solution features seperation between storage and computation ● The call method is the same as that of the standalone database Performance test vs CEPH ● BenchmarkSQL transactions per minute increased by 39% ● In PGBench

FacelD Multimodal Interection CPU (ARM、Intel) 1驱动万物智能 Accelerated Op Library / Others Inference Engine DSP (Qualcomm) PART TWO Alios TVM @ ARM CPU AiOS 1驱动万物智能 Alios TVMQOARM CPU 。 Support TFLite 1024 1024, 1024 PART Five Misc AiOS 1驱动万物智能 M Nvidia GTX 1050 。， Integrate other inference engine (like TRT) 2 _ _ 10 9

its Affiliates. All rights reserved. Presenter: Haichen Shen, Yao Wang Amazon SageMaker Neo, Deep Engine Science Dynamic Model in TVM AWS AI© 2019, Amazon Web Services, Inc. or its Affiliates. All rights

–消息通过回调函数接收 –消息异步发送 ●Tag –MPI使用 ●Stream –官方不推荐30 WORKER ●worker是UCX通讯中的核心概念，它是一个进度引擎(progress engine) ●worker既不是协程也不是线程，而是一个状态机，可以通过不停地调用 ucp_worker_progress(worker)完成功能。如果你用过libuv或者libevent的evbuffer，它们有点