A Comparison Between Differential Equation Solver Suites In MATLAB, R, Julia, Python, C, Mathematica, Maple, and Fortran
September 26 2017 in C, Differential Equations, Julia, Mathematica, Mathematics, MATLAB, Programming, R | Tags: | Author: Christopher Rackauckas
Many times a scientist is choosing a programming language or a software for a specific purpose. For the field of scientific computing, the methods for solving differential equations are one of the important areas. What I would like to do is take the time to compare and contrast between the most popular offerings. This is a good way to reflect upon what�s available and find out where there is room for improvement. I hope that by giving you the details for how each suite was put together (and the �why�, as gathered from software publications) you can come to your own conclusion as to which suites are right for you.
(Full disclosure, I am the lead developer of DifferentialEquations.jl. You will see at the end that DifferentialEquations.jl does offer pretty much everything from the other suite combined, but that�s no accident: � READ MORE
Interfacing with a Xeon Phi via Julia
March 4 2016 in C, HPC, Julia, Programming, Stochastics, Xeon Phi | Tags: C, julia, MIC, OpenMP, parallel, Xeon Phi | Author: Christopher Rackauckas
(Disclaimer: This is not a full-Julia solution for using the Phi, and instead is a tutorial on how to link OpenMP/C code for the Xeon Phi to Julia. There may be a future update where some of these functions are specified in Julia, and Intel�s compilertools.jl looks like a viable solution, but for now it�s not possible.)
Intel�s Xeon Phi has a lot of appeal. It�s an instant cluster in your computer, right? It turns out it�s not quite that easy. For one, the installation process itself is quite tricky, and the device has stringent requirements for motherboard choices. Also, making out at over a taraflop is good, but not quite as high as NVIDIA�s GPU acceleration cards.
However, there are a few big reasons why I think our interest in the Xeon Phi should be renewed. For one, Intel � READ MORE
Using Julia�s C Interface to Utilize C Libraries
February 4 2016 in C, Julia, Programming | Tags: | Author: Christopher Rackauckas
I recently ran into the problem that Julias�s (GNU Scientific Library) GSL.jl library is too new, i.e. some portions don�t work as of early 2016. However, to solve my problem I needed access to adaptive Monte Carlo integration methods. This means it was time to go in depth in Julia�s C interface. I will go step by step on how I created and compiled the C code, and called it from Julia. READ MORE