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distributed dataflows with functional list operations for data processing with C++14

Home Page: https://haptork.github.io/easyLambda/

License: Boost Software License 1.0

Makefile 0.51% C++ 98.66% CMake 0.83%
dataflow-programming mpi parallel functional-programming distributed-computing hpc cpp14

easylambda's People

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eicossa avatar haptork avatar utkarshj1303 avatar

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easylambda's Issues

Don't std::move local return values

It's a bad idea to apply std::move when returning a local object. Scott Meyer says: "Never apply std::move or std::forward to local objects if they would otherwise be eligible for the return value optimization" (Effective Modern C++)

The idea is that the compiler can optimize away the copy if you return by value, but if it can't, it must move. If you apply std::move then it has to move in either way. You're preventing RVO from happening.

I saw this in a few places around the code: https://github.com/haptork/easyLambda/search?q="return+std%3A%3Amove"&type=Code

Plots and animations

Addition of UDFs in algorithms that plot and animate rows as they stream in a map unit, possibly using Cinder.

Since there is a good support for loading data and column selection, this can be quite useful and fits naturally.

However, it goes against the fact that plotting and analysis are two separate things, so I don't know how good of an idea this is.

Running on Windows/MSVC 2015

Hi - Thank you for the excellent library. Looks very interesting. Do you have any plans of adding instructions for pre-requisites and compilation instructions on Windows (e.g., using MSVC 2015)?

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