A C++ Platform to Perform Parallel Computations Of Optimisation Tasks

Pagmo

pagmo is a C++ scientific library for massively parallel optimization. It is built around the idea of providing a unified interface to optimization algorithms and to optimization problems and to make their deployment in massively parallel environments easy.

If you are using pagmo as part of your research, teaching, or other activities, we would be grateful if you could star the repository and/or cite our work. For citation purposes, you can use the following BibTex entry, which refers to the pagmo paper in the Journal of Open Source Software:

@article{Biscani2020,
  doi = {10.21105/joss.02338},
  url = {https://doi.org/10.21105/joss.02338},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {53},
  pages = {2338},
  author = {Francesco Biscani and Dario Izzo},
  title = {A parallel global multiobjective framework for optimization: pagmo},
  journal = {Journal of Open Source Software}
}

The DOI of the latest version of the software is available at this link.

The full documentation can be found here.

Upgrading from pagmo 1.x.x

If you were using the old pagmo, have a look here on some technical data on what and why a completely new API and code was developed: https://github.com/esa/pagmo2/wiki/From-1.x-to-2.x

You will find many tutorials in the documentation, we suggest to skim through them to realize the differences. The new pagmo (version 2) should be considered (and is) as an entirely different code.

---

IMPORTANT NOTICE: pygmo, the Python bindings for pagmo, have been split off into a separate project, hosted here. Please update your bookmarks!

---

Download Details:

Author: Esa
Source Code: https://github.com/esa/pagmo2 
License: GPL-3.0, LGPL-3.0 licenses found

#machinelearning #python #optimization #algorithm #parallel #computing 

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A C++ Platform to Perform Parallel Computations Of Optimisation Tasks

Pagmo

pagmo is a C++ scientific library for massively parallel optimization. It is built around the idea of providing a unified interface to optimization algorithms and to optimization problems and to make their deployment in massively parallel environments easy.

If you are using pagmo as part of your research, teaching, or other activities, we would be grateful if you could star the repository and/or cite our work. For citation purposes, you can use the following BibTex entry, which refers to the pagmo paper in the Journal of Open Source Software:

@article{Biscani2020,
  doi = {10.21105/joss.02338},
  url = {https://doi.org/10.21105/joss.02338},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {53},
  pages = {2338},
  author = {Francesco Biscani and Dario Izzo},
  title = {A parallel global multiobjective framework for optimization: pagmo},
  journal = {Journal of Open Source Software}
}

The DOI of the latest version of the software is available at this link.

The full documentation can be found here.

Upgrading from pagmo 1.x.x

If you were using the old pagmo, have a look here on some technical data on what and why a completely new API and code was developed: https://github.com/esa/pagmo2/wiki/From-1.x-to-2.x

You will find many tutorials in the documentation, we suggest to skim through them to realize the differences. The new pagmo (version 2) should be considered (and is) as an entirely different code.

---

IMPORTANT NOTICE: pygmo, the Python bindings for pagmo, have been split off into a separate project, hosted here. Please update your bookmarks!

---

Download Details:

Author: Esa
Source Code: https://github.com/esa/pagmo2 
License: GPL-3.0, LGPL-3.0 licenses found

#machinelearning #python #optimization #algorithm #parallel #computing 

How to Run C/C++ in Sublime Text?

C and C++ are the most powerful programming language in the world. Most of the super fast and complex libraries and algorithms are written in C or C++. Most powerful Kernel programs are also written in C. So, there is no way to skip it.

In programming competitions, most programmers prefer to write code in C or C++. Tourist is considered the worlds top programming contestant of all ages who write code in C++.

During programming competitions, programmers prefer to use a lightweight editor to focus on coding and algorithm designing. Vim, Sublime Text, and Notepad++ are the most common editors for us. Apart from the competition, many software developers and professionals love to use Sublime Text just because of its flexibility.

I have discussed the steps we need to complete in this blog post before running a C/C++ code in Sublime Text. We will take the inputs from an input file and print outputs to an output file without using freopen file related functions in C/C++.

#cpp #c #c-programming #sublimetext #c++ #c/c++

Dicey Issues in C/C++

If you are familiar with C/C++then you must have come across some unusual things and if you haven’t, then you are about to. The below codes are checked twice before adding, so feel free to share this article with your friends. The following displays some of the issues:

1. Using multiple variables in the print function
2. Comparing Signed integer with unsigned integer
3. Putting a semicolon at the end of the loop statement
4. C preprocessor doesn’t need a semicolon
5. Size of the string matters
6. Macros and equations aren’t good friends
7. Never compare Floating data type with double data type
8. Arrays have a boundary
9. Character constants are different from string literals
10. Difference between single(=) and double(==) equal signs.

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The below code generates no error since a print function can take any number of inputs but creates a mismatch with the variables. The print function is used to display characters, strings, integers, float, octal, and hexadecimal values onto the output screen. The format specifier is used to display the value of a variable.

1. %d indicates Integer Format Specifier
2. %f indicates Float Format Specifier
3. %c indicates Character Format Specifier
4. %s indicates String Format Specifier
5. %u indicates Unsigned Integer Format Specifier
6. %ld indicates Long Int Format Specifier

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A signed integer is a 32-bit datum that encodes an integer in the range [-2147483648 to 2147483647]. An unsigned integer is a 32-bit datum that encodes a non-negative integer in the range [0 to 4294967295]. The signed integer is represented in twos-complement notation. In the below code the signed integer will be converted to the maximum unsigned integer then compared with the unsigned integer.

#problems-with-c #dicey-issues-in-c #c-programming #c++ #c #cplusplus

C# Performance tips and tricks

Given the vast amount of C# and the explosive growth in data we’re dealing with, some optimization work has been needed at various times. Most of the big gains come from really re-thinking a problem and approaching it from a whole new angle.

Today however, I wanted to share some C# performance tips that have helped in my recent work. Some of these are fairly micro so don’t just charge out and employ everything here.

#c #c# #c++ #programming-c

SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

As a Software Engineer, the mind is trained to seek optimizations in every aspect of development and ooze out every bit of available CPU Resource to deliver a performing application. This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. Most of us, as we spend years in our jobs — tend to be proficient in at least one of these.

Recently, I spent some time checking on the Performance (not a very detailed study) of the various programming languages. One, by researching on the Internet; Two, by developing small programs and benchmarking. The legacy languages — be it ASM or C still rule in terms of performance. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability. They still will win for mission-critical or real-time systems, which need performance over these parameters. There were languages I briefly read about, including other performance comparisons on the internet. These include Python, PHP, Perl, and Ruby. Considering all aspects and needs of current enterprise development, it is C++ and Java which outscore the other in terms of speed. According to other comparisons [Google for ‘Performance of Programming Languages’] spread over the net, they clearly outshine others in all speed benchmarks. So much for my blog title :-) So when these titans are pit against each other in real-time, considering all aspects of memory and execution time — Java is floored. Though I have spent the last ~17 years (In 2021) of my life coding and perfecting my Java and J2EE skill — I suddenly feel… Ahem, Slow! One of the problem statements to verify this is given below (along with the associated code) and the associated execution parameters.

#performance #c++ #programming languages #core java #computing #computer hardware #complexity metrics #optimization and algorithmic aspects #platform independence