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Appendix A. Appendix: Survey Material Tab. A.2 gives the full list of concepts and the corresponding language or paper in which they have been identified. Table A.2.: Concepts provided by languages and proposed in papers. Language/Paper Concept Concept Active Objects asynchronous invocation futures event-loop Ada guards synchronization monitors threads Aida ownership transactions Alice atomic primitives futures AmbientTalk actors futures asynchronous invocation isolates event-loop mirrors far-references Ateji PX channels reducers fork/join speculative execution parallel loops Axum Axum-Domains immutability actors isolation by-value reader-writer-locks channels synchronization Briot et al. active objects locality actors locks asynchronous invocation message sends atomic operations monitors concurrent objects reflection data parallelism replication event-loop semaphore events synchronization futures threads green threads transactions guards C# concurrent objects futures fork/join parallel loops C/C++11 asynchronous operations locks atomic operations memory model atomic primitives thread-local variables condition variables threads fences volatiles 256
A.2. Concurrent and Parallel Programming Concepts Table A.2 – continued from previous page Language/Paper Concept Concept futures Chapel PGAS parallel loops channels parallel prefix scans fork/join reducers green threads Charm++ active objects by-value asynchronous invocation event-loop Cilk fork/join speculative parallelism reducers Clojure atoms persistent data structures compare-and-swap thread pools immutability transactions CoBoxes actors far-references by-value immutability Concurrent Haskell channels threads green threads transactions Concurrent ML channels threads synchronization Concurrent Objects concurrent objects Concurrent Pascal monitors threads Concurrent Smalltalk asynchronous invocation promises monitors Erlang actors single assignment variables immutability Fortran 2008 barriers locks critical sections parallel loops Fortress immutability implicit parallelism memory model parallel loops reducers threads transactions Go channels green threads Io actors futures co-routines 257
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Faculty of Science and Bio-Engineer
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DON’T PANIC
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S A M E N VAT T I N G Over de laats
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C O N T E N T S 1. Introduction 1 1
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Contents 4.4. RoarVM . . . . . . .
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Contents 9.5. Future Work . . . . .
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L I S T O F TA B L E S 2.1. Flynn
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List of Listings 7.2. Applying tran
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1. Introduction of solutions for di
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1. Introduction traded in for bette
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1. Introduction ad hoc implementati
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1. Introduction Chapter 7: Implemen
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1. Introduction and systems [De Kos
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1. Introduction ReBench This disser
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2. Context and Motivation 2.1. Mult
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2. Context and Motivation in litera
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2. Context and Motivation e. g., ar
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2. Context and Motivation tasks wit
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2. Context and Motivation section.
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2. Context and Motivation Table 2.1
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2. Context and Motivation The remai
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2. Context and Motivation Clojure A
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2. Context and Motivation To achiev
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2. Context and Motivation Each vat
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2. Context and Motivation driven to
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2. Context and Motivation 2.5. Buil
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2. Context and Motivation First, it
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3. Which Concepts for Concurrent an
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4 E X P E R I M E N TAT I O N P L A
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4.2. SOM: Simple Object Machine SOM
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4.2. SOM: Simple Object Machine 1 S
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4.2. SOM: Simple Object Machine nee
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4.2. SOM: Simple Object Machine 1 S
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4.2. SOM: Simple Object Machine HAL
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4.4. RoarVM Used Software and Libra
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4.4. RoarVM that is performance cri
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4.4. RoarVM Table 4.2.: The Smallta
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4.4. RoarVM is a problematic operat
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5 A N O W N E R S H I P - B A S E D
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5.1. Open Implementations and Metao
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5.2. Design of the OMOP metaclass-b
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5.2. Design of the OMOP Meta Level
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5.2. Design of the OMOP set of mech
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5.3. The OMOP By Example current :
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5.3. The OMOP By Example dling writ
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5.3. The OMOP By Example The proces
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5.4. Semantics of the MOP 1 SOMObje
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5.4. Semantics of the MOP 1 SOMInte
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5.5. Customizations and VM-specific
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5.6. Related Work how to use it to
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5.6. Related Work In ABCL/R2, meta-
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5.7. Summary which owns a set of ob
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6. Evaluation: The OMOP as a Unifyi
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7 I M P L E M E N TAT I O N A P P R
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7.1. AST Transformation VMs makes s
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7.1. AST Transformation all have th
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7.1. AST Transformation because thi
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7.2. Virtual Machine Support ments
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7.2. Virtual Machine Support to the
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7.2. Virtual Machine Support 1 void
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7.2. Virtual Machine Support 1 void
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7.2. Virtual Machine Support Table
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7.3. Summary the RoarVM, primitives
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8. Evaluation: Performance 8.1. Eva
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8. Evaluation: Performance tional c
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Page 271 and 272: A A P P E N D I X : S U RV E Y M AT
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Page 294 and 295: References Joe Armstrong. A history
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Page 298 and 299: References Koen De Bosschere. Proce
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Page 304 and 305: References ISO. ISO/IEC 14882:2011
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Page 316 and 317: References ming in mobile ad hoc ne
Page 318: References 3-14, New York, NY, USA,
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