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Parallel Programming and Heterogeneous Computing Shared-Nothing Systems: Actors and Channels Max Plauth, Sven Khler , Felix Eberhardt, Lukas Wenzel and Andreas Polze Operating Systems and Middleware Group Actors 1 Actor 0 Actor 1 Actor 3


  1. Parallel Programming and Heterogeneous Computing Shared-Nothing Systems: Actors and Channels Max Plauth, Sven Köhler , Felix Eberhardt, Lukas Wenzel and Andreas Polze Operating Systems and Middleware Group

  2. Actors 1 Actor 0 Actor 1 Actor 3 Actor 4 Actor 2 ParProg 2019 Shared-Nothing: Actors & Channels Actors Sven Köhler „Everything is an actor “ Chart 2

  3. The Actor Model Part of AI research at MIT ■ Another mathematical model for concurrent computation ■ No global system state concept (relationship to physics) ■ Actor as computational primitive ■ Makes local decisions, has a mailbox for incoming messages □ Concurrently creates more actors □ Concurrently sends / receives messages □ Asynchronous one-way message sending with changing topology ■ (CSP communication graph is fixed), no order guarantees ParProg 2019 Shared-Nothing: Recipient is identified by mailing address □ Actors & Channels Actors can send their own identity to other actors □ Sven Köhler C. Hewitt, P. Bishop, and R. Steiger. “A Universal Modular ACTOR Formalism for Artificial Intelligence” Chart 3 In: Proceedings of the 3rd International Joint Conference on Artificial Intelligence. (pp. 235-245) IJCAI’73.

  4. The Actor Model Asynchronous, unordered, distributed messaging for interaction ■ Fundamental aspects ■ Emphasis on local state, time and name space □ No central entity □ Actor A gets to know actor B only by direct creation, □ or by name transmission from another actor C Concurrency utilizes Future concept □ Computation ■ Not global state sequence, but partially ordered sets of events □ ParProg 2019 Event: Receipt of a message by a target actor – Shared-Nothing: Actors & Channels Each event is a transition from one local state to another – Sven Köhler Events may happen in parallel – Messaging reliability declared as orthogonal aspect Chart 4 ■

  5. Erlang 2 ParProg 2019 Shared-Nothing: Actors & Channels Joe Armstrong Erlang Sven Köhler (1950-2019) Chart 5

  6. Erlang – Er icsson Lang uage Functional language with actor support in practice ■ Designed for large-scale concurrency ■ First version in 1986 by Joe Armstrong, at Ericsson Labs □ Available as open source since 1998 □ Language goals driven by Ericsson product development ■ Scalable distributed execution of phone call handling software with □ large number of concurrent activities Fault-tolerant operation under timing constraints □ ParProg 2019 Online software update □ Shared-Nothing: Applications Actors & Channels ■ Sven Köhler Amazon EC2 SimpleDB, WhatsApp, Facebook chat (former ejabberd), □ T-Mobile SMS and authentication, Motorola call processing, Ericsson GPRS and 3G mobile network products, CouchDB, … Chart 6

  7. Erlang Cluster Host 1 PA.0 PB.0 PA.1 PA.4 sequential PA.5 PB.1 PA.2 nodeA nodeB Host 2 Host 3 ParProg 2019 nodeC Shared-Nothing: nodeD Actors & Channels Sven Köhler An Erlang cluster consists of multiple interconnected nodes, each running several light-weight processes (actors). Chart 7 Message passing implemented by shared memory (same node),TCP (ERTS), …

  8. Sequential Erlang: Language Elements Sequential subset is influenced by functional and logical programming ■ (Prolog, ML, Haskell, ...) ■ Atoms - constant literals, implement only comparison operation (lowercase) ■ Variables (uppercase) – immutable, single bound within context ■ Control flow through pattern matching A = 10 {A, A, B} = {foo, foo, bar} ■ Dynamic typing (runtime even allows invalid types) Functions and modules, built-in functions ■ ParProg 2019 Shared-Nothing: Functions are defined as match set of pattern clauses □ Actors & Channels On match, all variables in the function’s head become bound □ Sven Köhler area({square, Side}) -> Side * Side; area({circle, Rad}) -> math:pi() * Rad * Rad. Chart 8 Lists and tuples are the base for complex data structures ■

  9. Sequential Erlang: Example -module(fact). -export([factorial/1]). Clauses end with a semicolon. factorial(0) -> 1; factorial(N) -> N * factorial(N - 1). Functions and shell expressions end with a period. > factorial(3). matches N = 3 in clause 2 == 3 * factorial(3 - 1) == 3 * factorial(2) matches N =2 in clause 2 ParProg 2019 == 3 * 2 * factorial(2 - 1) Shared-Nothing: Actors & Channels == 3 * 2 * factorial(1) Sven Köhler matches N = 1 in clause 2 == 3 * 2 * 1 * factorial(1 - 1) == 3 * 2 * 1 * factorial(0) Chart 9 == 3 * 2 * 1 * 1 (clause 1) == 6

  10. Sequential Erlang: Conditional Programming CASE construct: Result is last expression evaluated on match ■ Catch-all clause ( _ ) not recommended here ( defensive programming ) □ (May lead to match error at completely different code position) case cond-expression of pattern1 -> expr1, expr2, ... pattern2 -> expr1, expr2, ... end IF construct: Test until one of the guards evaluates to TRUE ■ if □ Guard1 -> expr1, expr2, ... Guard2 -> expr1, expr2, ... ParProg 2019 end Shared-Nothing: Actors & Channels WHEN construct: Add a guard (bool-condition) to function head ■ Sven Köhler Func(Args) when bool-expression -> expr1, expr2, ... □ Chart 10

  11. Concurrency in Erlang Concurrency Oriented Programming (COP) [Joe Armstrong] ■ Processes are completely independent (shared nothing) □ Synchronization and data exchange with message passing □ Each process has an unforgeable name □ If you know the name, you can send a message □ Default approach is fire-and-forget □ You can monitor remote processes □ Using this gives you … ■ ParProg 2019 Opportunity for massive parallelism (shared nothing software) □ Shared-Nothing: No additional penalty for distribution, despite latency issues Actors & Channels □ Sven Köhler Easier fault tolerance capabilities □ Concurrency by default □ Chart 11

  12. Concurrency in Erlang Each concurrent activity is called process ■ Only interaction through message passing ■ Designed for large number of concurrent activities ■ (Joe Armstrong ‘ s tenets) „The world is concurrent. “ □ „Things in the world don ‘ t share data. “ □ „Things communicate with messages. “ □ „Things fail. “ □ Design philosophy is to spawn a process for each new event ParProg 2019 ■ Shared-Nothing: Constant time to send a message ■ Actors & Channels spawn(module, function, argumentlist) Sven Köhler ■ Spawn always succeeds, created process may terminate □ Chart 12 with a runtime error later ( abnormally )

  13. Concurrent Programming in Erlang Pid ! Msg ParProg 2019 Shared-Nothing: Actors & Channels Sven Köhler Chart 13

  14. Concurrent Programming in Erlang Functions exported + #args Pattern Matching Communication Tail Recursion ParProg 2019 Shared-Nothing: Actors & Channels Tail Recursion Sven Köhler Chart 14 Spawning

  15. Concurrent Programming in Erlang Communication via message passing is part of the language ■ Receiver has a mailbox concept ■ Queue of received messages □ Only messages from same source arrive in-order □ Send never fails, works asynchronously ( PID ! message ) ■ Selective message fetching from mailbox ■ receive statement with set of clauses, pattern matching on entire □ mailbox Process is suspended in receive operation until a match □ ParProg 2019 Shared-Nothing: receive Actors & Channels Pattern1 when Guard1 -> expr1, expr2, ..., expr_n; Sven Köhler Pattern2 when Guard2 -> expr1, expr2, ..., expr_n; Other -> expr1, expr2, ..., expr_n Chart 15 end

  16. Concurrent Programming in Erlang Processes can be registered under a name (see shell „ regs(). “ ) ■ Registered processes are expected to provide a stable service □ Messages to non-existent processes under alias results in an error on □ the caller side Timeout for receive through additional after block ■ receive Pattern1 when Guard1 -> expr1, expr2, ..., expr_n; Pattern2 when Guard2 -> expr1, expr2, ..., expr_n; Other -> expr1, expr2, ..., expr_n after Timeout -> expr1, expr2, ... ParProg 2019 Shared-Nothing: end Actors & Channels Typical process pattern: ■ Sven Köhler Get spawned, register alias, initialize local state, enter receiver loop with current state, finalize on some stop message Chart 16

  17. Concurrent Programming in Erlang Receiver loop typically modeled with tail-recursive call ■ Receive message, handle it, recursively call yourself □ Call to sub-routine our yourself is the very last operation, □ so the stack frame can be overwritten (becomes a jump) Tail recursion ensures constant memory consumption □ Non-handled messages in the mailbox should be considered as bug, ■ avoid defensive programming ( throw away without notice ) Messaging deadlocks are easily preventable by preventing the ■ circular wait condition (wait for multiple message patterns) Libraries and templates available for most common patterns ■ ParProg 2019 Shared-Nothing: Client / Server model - clients access resources and services □ Actors & Channels Finite state machine - perform state changes on message □ Sven Köhler Event handler - receive messages of specific type □ Chart 17 Erlang performs preemptive scheduling (on timeout or receive call) ■

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