THE STATE OF GO What’s New since Go 1.20 白明 Tony Bai 《Go语言精进之路》作者 tonybai.com博主 那段时间错过的Go版本 2022.3 Go 1.18 泛型落地 2022.8 Go 1.19 修订Go内存模型文档、支持Soft memory limit 2023.3 Go 1.20 引入Profile-Guided Optimizations

cf30310bdd99235d1d629/p5_1.jpg) ## Passive Standby • Each primary periodically checkpoints its state and sends it to the secondary  ## Snapshotting Protocols A snapshot algorithm attempts to capture a coherent global state of a distributed system We need to retrieve a distributed cut in a system execution that yields a

## State of the UI: Leveraging Kubernetes Dashboard and Shaping its Future Spencer Sugarman UX Researcher, Google Dan Romlein UX Designer, Google ## Talk Goals 1. What Dashboard is and why you should support kind/feature lifecycle/frozen #3148 opened on Jul 16 by SerialVelocity Angular Migration: State Management kind/feature lifecycle/frozen #3133 opened on Jul 7 by austbot Support metrics API good

Analytics Spring 2020 2/25: State Management Vasiliki (Vasia) Kalavri vkalavri@bu.edu ## State in dataflow computations Any non-trivial streaming computation maintains state: • rolling aggregations jpg) ## Streaming state ## Unmanaged • No explicit state primitives - Users define state using arbitrary types - The system is unaware of which parts of an operator constitute state ## Managed • Explicit Explicit state primitives including state types and interfaces - The system is aware of state and can transparently checkpoint it, restore it, re-scale it ![Image](/uploads/documents/b/9/f/d/b9fd594d

Elasticity policies and state migration Vasiliki (Vasia) Kalavri vkalavri@bu.edu Streaming applications are long-running • Workload will change • Conditions might change • State is accumulated over time terminate processes • Adjust dataflow channels and network connections • Re-partition and migrate state in a consistent manner • Block and unblock computations to ensure result correctness ## Automatic Re-configuration requires state migration with correctness guarantees. ## State migration ## State migration strategies ## • Stop-and-restart • halt the whole computation, take a state snapshot of all operators

Choosing Node Configuration Options 25 Storage Settings 25 Gossip Settings 25 Purging Gossip State on a Node 25 Partitioner Settings 25 Snitch Settings 26 Configuring the PropertyFileSnitch 26 About Data Consistency in Cassandra 58 Tunable Consistency for Client Requests 58 About Write Consistency 58 About Read Consistency 58 Choosing Client Consistency Levels 59 Consistency Levels for for Multi-Data Center Clusters 59 Specifying Client Consistency Levels 60 About Cassandra's Built-in Consistency Repair Features 60 Cassandra Client APIs 60 About Cassandra CLI 60 About CQL

number of expected features in the input x • hidden_size – The number of features in the hidden state h - num_layers – Number of recurrent layers. E.g., setting num_layers=2 would mean stacking two RNNs number of expected features in the input x • hidden_size – The number of features in the hidden state h - num_layers - Number of recurrent layers. E.g., setting num_layers=2 would mean stacking two RNNs

Client 1 Local Game State  Client 2 Local Game State ## Deterministic simulation Initial state GameSystems::Tick() deb25e9aa12f06fc0/p14_2.jpg) GameSystems::Tick() on Desktop PC Intel Core i7-8700K New state New state With a deterministic simulation, we mostly need to send player inputs! ## Deterministic lock-step [Image](/uploads/documents/8/e/8/b/8e8bf3c37670c50deb25e9aa12f06fc0/p20_3.jpg) New input data Misprediction!!! State is dirty!  ## Doing

Side Effects Transaction inspect Model State observe ## Level of Detail – Time quanta and synchronization How often do we really care to know the state of the model? ■ Consider a Public Key Cryptography Cryptography Accelerator What happens in HW: Registers Inputs Complex State Machine Doing Things like a Montgomery Ladder Result Registers What we need to see: Registers Inputs openssl call and workloads In the modeling context, coroutines... • Provide syntactic sugar for things like state machines • Look more like RTL • Handle parallelism in a way that isn’t clunky - Scale across large