how could I compare different real-time Linux solutions (PREEMPT_RT, Xenomai, Ubuntu lowlatency, among others)?. I am using rt-tests (and cyclictest) for PREEMPT_RT. I read Lachesis testsuite as an option. What would be a testsuite valid?.
Thank you,
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I need to perform some machine learning tasks using a Tensor Flow based Neuronal network architecture (PointNet https://github.com/charlesq34/pointnet). I would like to use cloud infrastructure to do this, because I do not have the physical resources needed. The demands of the customer are, that they would like to get the whole set up machine I used for the training afterward and not only the final model. This is because they are researchers and would like to use the machine themselves, play around and understand what I did but they do not want to do the setup/installation work on their own. Unfortunately they can not provide a (physical or virtual) machine themselves right now.
The question is: Is it possible/reasonable to set up a machine on a cloud infrastructure provider like google cloud or AWS, install the needed software (which uses Nvidia Cuda) and export this machine after a while when suitable hardware is available, import it to a virtualisation tool (like Virtual Box) and continue the usage on ones own system? Will the installed GPU/Cuda-related software like TensorFlow etc. still work?
I guess it's possible, but it will be needed to configure the specific hardware to make it work on the local environment.
For Google Cloud Platform,
the introduction to Deep Learning Containers, will you allow to create portable environments.
Deep Learning Containers are a set of Docker containers with key data science frameworks, libraries, and tools pre-installed. These containers provide you with performance-optimized, consistent environments that can help you prototype and implement workflows quickly. Learn more.
In addition, please check Running Instances with GPU accelerators
Google provides a seamless experience for users to run their GPU workloads within Docker containers on Container-Optimized OS VM instances so that users can benefit from other Container-Optimized OS features such as security and reliability as well.
To configure Docker with Virtualbox, please check this external blog.
I want to build a system over seL4 and I do not want to write the drivers from scratch. I know that L4linux managaged to raise an entire linux kernel, drivers included, over fiasco.OC.
Ideally I want a driver wrapper that would allow me to run linux drivers as standalone tasks over sel4.
I am willing to code much. but I want to avoid reading hardware spec sheets and rewriting drivers.
I last looked at L4 in depth many years ago.
Based on my understanding the answer to your question should be in general a no. The reasons for this are mainly in two aspects: For one is because a fully bloated linux driver needs to take care of too many aspects to integrate into the kernel subsystems. The another reason is the two kernels are different.
If the specific driver you are looking at does not heavily integrate into the kernel subsystems, it may be not a huge task for you to develop a wrapper.
I am trying to learn both Dart and GCE. I already created a server at GCE, but I don't know how to install Dart since I can only use Linux commands on the Debian server.
This is mostly about Dart on AppEngine:
You should be able to find all information here https://www.dartlang.org/cloud/
I did it using the instructions from this page and the linked pages at the bottom.
The discussions here https://groups.google.com/a/dartlang.org/forum/#!forum/cloud provide some useful bits too.
Dart on Compute engine:
Here is a blog post that covers it pretty good http://financecoding.github.io/blog/2013/09/30/getting-started-with-dart-on-compute-engine/ but some things have changed since this was written.
There are docker images https://github.com/dart-lang/dart_docker ready to execute Dart scripts.
Just search for information how to use Docker images with GCE and you should be fine (there should already be a lot available)
Please ask again if you encounter concrete problems.
Dart on AppEngine runs as Managed VM. Managed VMs work differently than real AppEngine VMs that run 'native' supported languages like Java, Python, and Go. Managed VMs are in fact Compute engines but managed by AppEngine. This means they are launched and shut down depending on the load (and depending on some basic configuration settings in app.yaml and also depending on payment settings) while Compute Engines instances are basically always on. You have to manage yourself when instances should be added/removed depending on the load. There is Kubernetes which is a handy tool to make this easier but you have to actually manage your instances. Besides from that there is not much difference between Managed VMs and Compute Engine instances. A difference to native AppEngine is that you can add any libraries and also binaries to Managed VMs like to CE.
There are pricing differences but I don't know details about this myself yet
I have been experimenting with kernel building and have successfully created a very basic kernel which I am slowly extending to add features. I have successfully run it in virtualbox and qemu but thought I would investigate the possibility of building a simple virtual machine emulator like those but with just the required features to run my very simple kernel, or better yet, just to be able to boot a machine in software by passing through the host hardware to the guest kernel.
I know that visualization is a very complex topic that has taken huge amounts of effort by a lot of people to get it to the stage it is at with projects like Virtualbox or VMWare and I don't want to try and re-create them.
Alternatively if anyone knows of an existing virtualization sdk that could be used to embed the output of the running virtual machine into another application that could be used. I want to create an application that boots this virtual machine as part of a simulation.
Please find TVMM, which is an open source educational virtual machine monitor. Its code is somehow simple and you can get many points form it.
Hi I am keen on setting up a Linux box to play around with Rails, No-Sql, Mono C#... and opensource projects!
I am keen on learning Ruby on Rails and don't have a Mac so I think for now the cheapest option is to install a Linux distro on my computer. I am also keen on trying out MongoDB
I am a complete nube to Linux and am wondering if I should install openSuse, Ubuntu, Debian or ? I am also a C# developer so I can install Mono and MonoDevelop. They have packages for these http://monodevelop.com/Download
Anyone have some blog posts, screencasts, books, experience I would love to hear about it :)
Cheers
Jake
Note: you can still learn Ruby on windows, you can also use Ruby and .NET with IronRuby which is nearly 100% compatible with C Ruby. That's not to stop you from learning linux though as it gives you a different perspective on OS's and will expose you to the power of the command line.
Mono on linux is very complete. The best distribution to use with it would be Open Suse (as it's supported and recommended by Novell who develop Mono).
If you want to go the NoSql route than I would recommend looking at redis a very fast and advanced key-value data store with support for rich data structures, i.e. lists, sets and ordered sets. If you use C#/Mono you can this redis client which has native support for storing complex types and exposes Redis server-side lists and sets as IList<T> and ICollection<T>'s.
It probably doesn't matter much which Linux you install on a desktop. The user experience will be determined by Gnome or KDE, not the distro.
The two aspects of linux that have the biggest user-experience impact are the desktop and the package system. Linux has, sadly, two of each.1.
There are two desktops: Gnome and KDE. In general, you can choose Gnome or KDE with any distro and you can even install both. (You only run one at a time, though.) Please realize that except for some configuration details, for the most part the distros redistribute the same set of Unix-model software, so you aren't getting anything wildly different or even as different as XP vs Vista.
Either of the two main package systems can in some ways be used with any distro, but life will be much easier if you stay with the vanilla one for your distro. But since you aren't expecting either one I think it won't matter.
Now, if you went and installed, say, NetBSD, then you might notice some real differences, although you would still have your choice of Gnome or KDE.
1. Technically, there are 10 or 20 window managers that provide interesting lightweight GUI's that are something a bit less than a full-blown desktop GUI, but that's in the advanced class. Also in that class: Unix servers generally run no GUI at all.
I would go with Ubuntu or OpenSuse since most of the tutorials, community support and other stuff around Mono is targeted to these distributions.