OSCON Blog posts tagged with 'concurrency'

Late-breaking additions to the schedule

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Edd Dumbill
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Don't miss these two new talks, added to the program over the weekend.

Joe Gregorio will speak in the Python track on Thursday morning. In Threading Is Not A Model he writes

We have many concurrency/multiprocessing capabilities at our finger tips, such as threads, processes, locks, mutexes, select, epoll, transactional memory, etc. But none of them are a model for multiprocessing, they are only tools on which you would build an implementation of such a model. So what are the models we can choose from? How would they be implemented in Python? And how do they relate to the principle of sufficient irritation?

Meanwhile, Jeffrey Osier-Mixon from MontaVista will speak about effectively managing documentation in open source projects. He explains that documentation is an often overlooked, but essential part of a project.

Documentation is a vital user-facing component of all serious projects, open-source and otherwise, but it is often overlooked—-or, worse, dealt with in fire-drill mode just before going to manufacturing or market. However, documentation is a project’s backbone. It is often what users and OEMs see first, and it is also the place you want users to look when they have questions or problems (so they don’t have to call you).

Catch Jeffrey's talk on Thursday afternoon.

 

Tags: concurrency

Sessions tagged with 'concurrency'

Alex Miller (Revelytix)
GPars is a Groovy concurrency library that brings key concurrency constructs from other languages into Groovy. GPars provides concepts like actors, dataflow concurrency, fork/join for divide and conquer, and "safes" to manage mutable state.
Matt Jadud (Allegheny College), Christian Jacobsen (University of Copenhagen)
This talk will introduce Plumbling, a set of tools to support artists and makers in the programming of low-cost, open-hardware platforms like the Arduino. Plumbing is a library of parallel components written in occam-pi, a small language with a long history.
Tim Bray (Google, Inc.)
Computers are getting wider, not faster. If you want your code to run faster, it has to have some parallelism. This is hard, and threads probably aren't the answer. There is a lot of new concurrency technology on the scene. This talk surveys the 2010 state of the art in tools to empower developers to write concurrent code, and makes some predictions.
Francesco Cesarini (Erlang Solutions Ltd)
This hands on tutorial will give you an introduction to the Erlang programming language. You will learn the basics of how to read, write and structure Erlang programs. We start with an insight into the theory and concepts behind sequential and concurrent Erlang, allowing you to get acquainted with the Erlang syntax and semantics.
We have many concurrency/multiprocessing capabilities at our finger tips, but none of them are a model for multiprocessing, they are only tools on which you would build an implementation of such a model. So what are the models we can choose from? How would they be implemented in Python?
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