This document discusses updates to the GPars concurrency library. It introduces new remote object capabilities that allow objects to communicate across the network using Netty. It also discusses various concurrency models like actors, dataflow, data parallelism, and CSP that are supported in GPars.

1. GPars 2014
Dr Russel Winder
russel@winder.org.uk
@russel_winder
http://www.russel.org.uk
Copyright © 2014 Russel Winder 1

2. This is a sales pitch…
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3. This is a s✘ales pitch…
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4. This is a sales pitch…
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5. This is breaking news…
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6. It's new…
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7. It's improved…
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8. It's…
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9. Copyright © 2014 Russel Winder 9

10. Thanks to GSoC 2014,
Rafał Sławik
built on a partial implementation by
Alex Tkachman.
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11. Remote Objects
Copyright © 2014 Russel Winder 11

12. GPars already has single JVM
concurrency and parallelism.
You can use it from Java
as well as Groovy.
Copyright © 2014 Russel Winder 12

13. GPars now has remote objects.
Realized by using Netty.
Copyright © 2014 Russel Winder 13

14. Actors
Independent processes
communicating via
asynchronous exchange
of messages.
Dataflow
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Data Parallelism
Transform a sequence to
another sequence where all
individual actions happen
at the same time.
CSP
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Copyright © 2014 Russel Winder 14

15. Active Objects
An object that is actually
an actor but looks like a
full service object.
Agents
A wrapper for some
shared mutable state.
Fork/Join
An toolkit for tree structured
concurrency and parallelism.
Software Transactional Memory
Wrappers for mutable values that uses transactions
rather than locks.
Copyright © 2014 Russel Winder 15

16. Actors
Independent processes
communicating via
asynchronous exchange
of messages.
Dataflow
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Data Parallelism
Transform a sequence to
another sequence where all
individual actions happen
at the same time.
CSP
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Copyright © 2014 Russel Winder 16

17. Data Parallelism
Transform a sequence to
another sequence where all
individual actions happen
at the same time.
Copyright © 2014 Russel Winder 17

18. Dataflow
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Copyright © 2014 Russel Winder 18

19. CSP
Sequential processes
communicating by
sending messages on
channels.
Copyright © 2014 Russel Winder 19

20. Actors
Independent processes
communicating via
asynchronous exchange
of messages.
Copyright © 2014 Russel Winder 20

21. Actors
Independent processes
communicating via
asynchronous exchange
of messages.
Dataflow
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Data Parallelism
Transform a sequence to
another sequence where
all individual actions
happen at the same time.
CSP
Operators connected by
channels with activity
triggered by arrival of
data on the channels.
Copyright © 2014 Russel Winder 21

22. Copyright © 2014 Russel Winder 22

23. Copyright © 2014 Russel Winder 23

24. Copyright © 2014 Russel Winder 24

25. Hadoop
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26. Copyright © 2014 Russel Winder 26

27. Copyright © 2014 Russel Winder 27

28. Service Oriented Architecture
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29. Services
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30. Micro-Services
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31. Pico-Services
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32. No HTTP, Web, port 80, HTML, CSS..
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33. Copyright © 2014 Russel Winder 33

34. GPars
Dr Russel Winder
russel@winder.org.uk
@russel_winder
http://www.russel.org.uk
Copyright © 2014 Russel Winder 34