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Appendix A. Appendix: Survey Material Table A.2 – continued from previous page Language/Paper Concept Concept JCSP channels processes Java 7 atomic primitives memory model concurrent objects monitors condition variables thread pools fork/join thread-local variables futures threads locks volatiles Java Views locks Join Java message sends threads synchronization Linda by-value isolation coordination processes immutability MPI barriers one-sided communication by-value processes message sends MapReduce immutability side-effect free reducers MultiLisp atomic primitives locks futures Occam-pi by-value processes channels OpenCL atomic primitives vector operations data movement OpenMP atomic primitives barriers monitors parallel blocks parallel loops thread-local variables threads Orleans actors state reconciliation futures transactions replication vats Oz active objects locks channels single assignment variables futures threads Parallel Actor Monitors actors reader-writer-locks message sends 258
A.2. Concurrent and Parallel Programming Concepts Table A.2 – continued from previous page Language/Paper Concept Concept Parallel Prolog data-flow graphs mvars fork/join parallel bulk operations futures Reactive Objects asynchronous invocation encapsulation SCOOP condition variables ownership locks threads STM transactions Skillicorn and Talia active objects message sends actors one-sided communication channels parallel loops data parallelism processes data streams side-effect free implicit parallelism synchronization isolation threads join tuple spaces locality Sly barriers map/reduce join race-and-repair StreamIt data streams message sends Swing event-loop threads message sends UPC PGAS reducers barriers X10 APGAS condition variables atomic primitives far-references by-value fork/join clocks message sends XC channels threads Each identified concept was briefly characterized and then assessed with regard to the identified survey criteria (cf. Sec. 3.2.1.1). As discussed in Sec. 3.2.2 (cf. Tab. 3.5) certain concepts have not been regarded individually. Instead, closely related concepts have been surveyed together. This information, and general relationships between concepts have been recorded for each concept as well. 259
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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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8. Evaluation: Performance The goal
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Page 271 and 272: A A P P E N D I X : S U RV E Y M AT
Page 273 and 274: A.1. VM Support for Concurrent and
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Page 294 and 295: References Joe Armstrong. A history
Page 296 and 297: References Zoran Budimlic, Aparna C
Page 298 and 299: References Koen De Bosschere. Proce
Page 300 and 301: References Yaoqing Gao and Chung Kw
Page 302 and 303: References Michael Haupt, Stefan Ma
Page 304 and 305: References ISO. ISO/IEC 14882:2011
Page 306 and 307: References Tim Lindholm, Frank Yell
Page 308 and 309: References on Modularity In Systems
Page 310 and 311: References Johan Östlund, Tobias W
Page 312 and 313: References Tardieu. The asynchronou
Page 314 and 315: References Matthew J. Sottile, Timo
Page 316 and 317: References ming in mobile ad hoc ne
Page 318: References 3-14, New York, NY, USA,
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