Mark Harfouche hmaarrfk

I recently (July 2018) installed Ubuntu 16.04 on my XPS 15 9560.

my main usecase is to be able to run and test cuda programs localy when developing image processing software.

I chose Ubuntu 16.04 mostly because of compatibility with software like cuda, pytorch, tensorflow, and matlab. My previous Fedora 28 worked well, but had too much incompatiblity with software that was stuck on an older GCC. Fedora is leading the pack with GCC 8 and it is simply too aggressive for larger peices of software. They also renamed lib to lib64 which I think was a mistake.

Creating a USB

Static repo data:

no no, i mean on every package install command, conda seems to try and download metadata from all the channels I have because that step is slow i simply ask it to download from the offline cache it has by adding the --offline

ah, you mean a more static repodata. Yes, we're working on that. It won't be the default for a while, though You can try it now

Writing benchmarks for scikit-image

If you are requesting a change to be made for the sake of performance, it helps to provide a benchmark showing the improvement of the algorithm in the usecase that you are considering.

To create a benchmark, you should.

Install airspeed velocity

pip install asv

	/*
	* Copyright (c) 2009 Xilinx, Inc. All rights reserved.
	*
	* Xilinx, Inc.
	* XILINX IS PROVIDING THIS DESIGN, CODE, OR INFORMATION "AS IS" AS A
	* COURTESY TO YOU. BY PROVIDING THIS DESIGN, CODE, OR INFORMATION AS
	* ONE POSSIBLE IMPLEMENTATION OF THIS FEATURE, APPLICATION OR
	* STANDARD, XILINX IS MAKING NO REPRESENTATION THAT THIS IMPLEMENTATION
	* IS FREE FROM ANY CLAIMS OF INFRINGEMENT, AND YOU ARE RESPONSIBLE
	* FOR OBTAINING ANY RIGHTS YOU MAY REQUIRE FOR YOUR IMPLEMENTATION.