## Dynamic Model in TVM ## AWS AI Presenter: Haichen Shen, Yao Wang Amazon SageMaker Neo, Deep Engine Science ## Models with dynamism • Control flow (if, loop, etc) • Dynamic shapes ☐ Dynamic inputs: loop Limitation of TVM/graph runtime • Cannot compile and run dynamic models ## Support dynamic model in TVM • Support Any-dim in typing • Use shape function to compute the type at runtime • Virtual "data" input_shape = [tvm.relay.Any(), 3, 224, 224] dtype = "float32" block = get_model('resnet50_v1', pretrained=True) mod, params = relay.frontend.from_mxnet(block, shape={input_name:

China 2018 ## Model and Operate Datacenter by Kubernetes at eBay 辛肖刚, Cloud Engineering Manager, ebay 梅岑恺, Senior Operation Manager, ebay ## Agenda About ebay Our fleet ★ Kubernetes makes magic at at ebay Model + Controller How we model our datacenter Operation in large scale Q&A 177M Active buyers worldwide $22.7B Amount of eBay Inc. GMV $2.6B Reported revenue 1.1B Live listings • Network ## Kubernetes • Core components • Addon • Taint ## Operations ## Let's model a datacenter running Kubernetes Onboard ![Image](/uploads/documents/2/4/9/8/249845b422d764ccc2a2fa576344083d/p13_2

## CS 591 K1: Data Stream Processing and Analytics Spring 2020 ## 1 /23: Stream Processing Fundamentals Vasiliki (Vasia) Kalavri vkalavri@bu.edu ## What is a stream? - In traditional data processing processing applications, we know the entire dataset in advance, e.g. tables stored in a database. A data stream is a data set that is produced incrementally over time, rather than being available in full before high-volume, real-time data that might be unbounded • we cannot store the entire stream in an accessible way • we have to process stream elements on-the-fly using limited memory ## Properties of data streams

## Microsoft Ready ## The Future of Cloud Native Applications with Open Application Model (OAM) and Dapr Mark Russinovich Chief Technology Officer, Microsoft Azure @markrussinovich ## Application models /9/bc29b5fbf1de02f8968a900b84d384e5/p4_1.jpg) Open Application Model (OAM) Open Application Model Platform agnostic application model Distributed Application Runtime (Dapr) dapr Building blocks developing cloud and edge applications Microsoft is introducing two new specs, the Open Application Model and Dapr, with the aim of making building cloud, edge and Kubernetes apps easier. ### f in ☐ ☑ ☒

## +23 ## Distributed Ranges: A Model for Building Distributed Data Structures, Algorithms, and Views ## BENJAMIN BROCK ## Notices and Disclaimers For notices, disclaimers, and details about performance std::plus()); } ## Stream Benchmarks shp Stream Benchmarks  mhp Stream Benchmarks ![Image](/uploads/d

## Scalable Stream Processing - Spark Streaming and Flink Amir H. Payberah payberah@kth.se 05/10/2018 https://id2221kth.github.io ## Data Processing Graph Data Pregel, GraphLab, PowerGraph GraphX GraphX, X-Stream, Chaos Batch Data MapReduce, Dryad FlumeJava, Spark Structured Data Spark SQL Machine Learning Mliib Tensorflow Streaming Data Storm, SEEP, Naiad, Spark Streaming, Flink, Millwheel BigTable, Cassandra ## Distributed Messaging Systems Kafka Resource Management Mesos. YARN ## Stream Processing Systems Design Issues ▶ Continuous vs. micro-batch processing Record-at-a-Time vs. declarative

# CS 591 K1: Data Stream Processing and Analytics Spring 2020 ## 1 /28: Stream ingestion and pub/sub systems Vasiliki (Vasia) Kalavri vkalavri@bu.edu ## Streaming sources  Where do stream processors read data from? Files, e.g. transaction logs Sockets IoT devices and sensors Databases and KV stores Message queues unpredictable delays • might be producing too fast • stream processor needs to keep up and not shed load • might be producing too slow or become idle • stream processor should be able to make progress • might

## +23 ## C++ Memory Model: from C++11 to C++23 ## ALEX DATHSKOVSKY ## 20 23 October 01 - 06 ## About Me: SPEEDATA alex.dathskovsky@speedata.io www.linkedin.com/in/alexdathskovsky https://www.cppnext [Image](/uploads/documents/a/b/8/f/ab8f331d7156e1b708cb39698c0a1f00/p3_1.jpg) ## its a conspiracy man ## Memory Model ## I mportant Question ## Does the processor executes the program you wrote? ## The Answer ## Short

Efficient Mixture-of-Experts Language Model DeepSeek-AI research@deepseek.com ## Abstract We present DeepSeek-V2, a strong Mixture-of-Experts (MoE) language model characterized by economical training DeepSeek-V2 and its chat versions still achieve top-tier performance among open-source models. The model checkpoints are available at https://github.com/deepseek-ai/DeepSeek-V2. ![Image](/uploads/docum A Contributions and Acknowledgments 27 B DeepSeek-V2-Lite: A 16B Model Equipped with MLA and DeepSeekMoE 29 B.1 Model Description ..... 29 B.2 Performance Evaluation ..... 30 C Full Formulas

Stream Processing with Apache RocketMQ and Apache Flink 王鑫 · The Apache Software Foundation Nov.4, 2018, Shanghai, Apache Flink China Meetup ![Image](/uploads/documents/5/1/f/3/51f363b7213b31d1c40f613be3dd1945/p1_1 system experience • Love open source & community • Focus on distributed technologies, especially stream processing • https://github.com/vesense ![Image](/uploads/documents/5/1/f/3/51f363b7213b31d1c40f613be3dd1945/p2_2