[julia-users] Re: ANN: ParallelDataTransfer.jl

[Joaquim Masset Lacombe Dias Garcia]

Very nice!

Em segunda-feira, 3 de outubro de 2016 11:44:04 UTC-3, Andre Bieler 
escreveu:
>
> Thank you Sir! :)
>
> On Sunday, October 2, 2016 at 5:30:34 PM UTC+2, Chris Rackauckas wrote:
>>
>> ParallelDataTransfer.jl 
>>  is a 
>> library for sending and receiving data among processes defined using 
>> Julia's parallel computing framework. This library can be used to:
>>
>>
>>- Send variables to worker processes
>>- Directly define variables on worker processes
>>- Broadcast a definition statement to all workers
>>- Get variables from remote processes
>>- Pass variables between processes
>>
>>
>>  This library is constructed so these operations are done safely and 
>> easily, with the wait/fetch/sync operations built in. This allows one to do 
>> parallel programming at a high-level, specifying what data is moving, and 
>> not the details of how it moves.
>>
>> Also included are examples of how to use this functionality type-safely. 
>> Since these functions/macros internally utilize eval statements, the 
>> variables they define are in the global scope. However, by passing these 
>> variables into functions or declaring their types, one can easily use this 
>> library with type-stable functions. Please see the README for details.
>>
>> If you like this project, please star the repository to show your 
>> support. Please feel free to suggest features by opening issues (and please 
>> report bugs as well). Thank you for your attention.
>>
>

[julia-users] Re: ANN: ParallelDataTransfer.jl

[Andre Bieler]

Thank you Sir! :)

On Sunday, October 2, 2016 at 5:30:34 PM UTC+2, Chris Rackauckas wrote:
>
> ParallelDataTransfer.jl 
>  is a library 
> for sending and receiving data among processes defined using Julia's 
> parallel computing framework. This library can be used to:
>
>
>- Send variables to worker processes
>- Directly define variables on worker processes
>- Broadcast a definition statement to all workers
>- Get variables from remote processes
>- Pass variables between processes
>
>
>  This library is constructed so these operations are done safely and 
> easily, with the wait/fetch/sync operations built in. This allows one to do 
> parallel programming at a high-level, specifying what data is moving, and 
> not the details of how it moves.
>
> Also included are examples of how to use this functionality type-safely. 
> Since these functions/macros internally utilize eval statements, the 
> variables they define are in the global scope. However, by passing these 
> variables into functions or declaring their types, one can easily use this 
> library with type-stable functions. Please see the README for details.
>
> If you like this project, please star the repository to show your support. 
> Please feel free to suggest features by opening issues (and please report 
> bugs as well). Thank you for your attention.
>

[julia-users] Re: ANN: ParallelDataTransfer.jl

['Philippe Roy' via julia-users]

Thanks!

looks nice.

Le dimanche 2 octobre 2016 11:30:34 UTC-4, Chris Rackauckas a écrit :
>
> ParallelDataTransfer.jl 
>  is a library 
> for sending and receiving data among processes defined using Julia's 
> parallel computing framework. This library can be used to:
>
>
>- Send variables to worker processes
>- Directly define variables on worker processes
>- Broadcast a definition statement to all workers
>- Get variables from remote processes
>- Pass variables between processes
>
>
>  This library is constructed so these operations are done safely and 
> easily, with the wait/fetch/sync operations built in. This allows one to do 
> parallel programming at a high-level, specifying what data is moving, and 
> not the details of how it moves.
>
> Also included are examples of how to use this functionality type-safely. 
> Since these functions/macros internally utilize eval statements, the 
> variables they define are in the global scope. However, by passing these 
> variables into functions or declaring their types, one can easily use this 
> library with type-stable functions. Please see the README for details.
>
> If you like this project, please star the repository to show your support. 
> Please feel free to suggest features by opening issues (and please report 
> bugs as well). Thank you for your attention.
>