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Go's concurrency primitives, inspired by process calculi such as CCS and CSP, feature channel-based communication and lightweight threads, providing a distinct means of structuring concurrent software. The Go programming language has been heavily adopted in industry as a language that efficiently combines systems programming with concurrency. We also report briefly on work-in-progress based upon the corresponding notion of weak bisimulation, in which internal actions cannot be observed. These theories are based upon a semantics in terms of a labeled transition system and a notion of strong bisimulation, both of which are expounded in detail in a companion paper. The paper continues by presenting the algebraic theory of strong bisimilarity and strong equivalence, including a new notion of equivalence indexed by distinctions-i.e., assumptions of inequality among names. The important examples are the encoding into the π-calculus of higher-order functions (the λ-calculus and combinatory algebra), the transmission of processes as values, and the representation of data structures as processes. After an illustrated description of how the π-calculus generalises conventional process algebras in treating mobility, several examples exploiting mobility are given in some detail. The π-calculus gains simplicity by removing all distinction between variables and constants communication links are identified by names, and computation is represented purely as the communication of names across links. The calculus is an extension of the process algebra CCS, following work by Engberg and Nielsen, who added mobility to CCS while preserving its algebraic properties. Not only may the component agents of a system be arbitrarily linked, but a communication between neighbours may carry information which changes that linkage.
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We present the π-calculus, a calculus of communicating systems in which one can naturally express processes which have changing structure. We have applied our techniques to the Apache 2.0.44 web server, demonstrating that we can achieve high performance and scalability despite using a simple threaded programming model. This technique uses a blocking graph that is automatically derived from the application to describe the flow of control between blocking points in a cooperative thread package.
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We also present resource-aware scheduling, which allows thread scheduling and admission control to adapt to the system's current resource usage. A compiler analysis makes our stack implementation efficient and sound. We introduce linked stack management, which minimizes the amount of wasted stack space by providing safe, small, and non-contiguous stacks that can grow or shrink at run time. Using this approach, we are able to provide three key features: (1) scalability to 100,000 threads, (2) efficient stack management, and (3) resource-aware scheduling. As a result, we can take advantage of cooperative threading, new asynchronous I/O mechanisms, and compiler support. By implementing Capriccio as a user-level thread package, we have decoupled the thread package implementation from the underlying operating system. While recent work has advocated event-based systems, we believe that thread-based systems can provide a simpler programming model that achieves equivalent or superior performance. This paper presents Capriccio, a scalable thread package for use with high-concurrency servers.