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Related lectures (12)
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Reactive Streams: Semantics & Challenges
Introduces Reactive Streams semantics, focusing on back-pressure, flow control, methods as signals, specification, challenges, and interoperability.
State Management and Scope
Explores the evolution of stream processing systems and the concept of state, including management issues and manipulation examples.
Introduction to LabVIEW Programming
Covers the basics of LabVIEW programming, focusing on virtual instruments and graphical data flow execution.
Introduction to LabVIEW
Covers the basics of LabVIEW, including its importance, history, functions, and tools available.
Handling Failure and Processing Rate
Covers handling failure, carrying errors as values, failure logging, recovery methods, and processing rate measurements in reactive systems.
Stream Processing: Programming Reactive Systems
Delves into stream processing, its goals, relation to the Reactive Manifesto, challenges, and asynchronous processing.
Programming for Engineers: LabVIEW Essentials
Introduces LabVIEW essentials for engineers, covering loops, structures, dataflow, error handling, clusters, strings, and graph customization.
Akka Streams: Programming Reactive Systems
Covers Akka Streams basics, stream stages concurrency, materialized values, and more.
Dataflow Analysis: Translation Inefficiencies and Optimizations
Explores translation inefficiencies, optimizations, hoisting functions, closure conversion, and dataflow analysis concepts like available expressions and live variables.
Introduction to LabVIEW Programming
Covers the basics of LabVIEW programming, focusing on Virtual Instruments and their applications in engineering projects.
Closure Conversion and Dataflow Analysis
Explores closure conversion, function hoisting, and dataflow analysis for program optimization.
Dataflow Analysis: Optimization
Explores dataflow analysis for optimization, including equations solving, live variables, reaching definitions, and very busy expressions.
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