For the Unity and GNOME Shell version, check this out.
Having tried out a bunch of DE’s in the past, I find myself moving towards minimalism and speed, and IMO nothing is better suited than XFCE to fulfill those requirements. But just when I thought everything was fine and dandy on my shiny new Xubuntu 13.10 install, video tearing reared its ugly head again. Compositing and tear-free playback just don’t play nice, but Docky (yeah I don’t like the default XFCE panels) requires compositing for all its fancy effects! There is a workaround for this though, and it’s easier than you might think, at least on Intel chipsets. I’ve tested the following fix on an HP laptop running an i5-3210M (with the HD 4000) and 8 gigs of RAM, and used VLC for playback. Before we move any further, let’s get this out of the way – this fix isn’t guaranteed to work, and there’s always a small chance that you might end up breaking your install. If you’re fine with that, read on! Continue reading →
Laptop trackpads have sucked for a long while now, and will continue to do so in all probability along with the vast majority of laptop displays (atleast they used to be good a while back, remember 1680×1050? Yeah, I don’t either). I’ve been using the Ubuntu 13.04 development release and the slider under Mouse and Touchpad refuses to let me change the default speed of the trackpad, which is incredibly slow. If you’ve faced a similar problem and would like to increase or decrease the speed of your mouse pointer (either the touchpad or a mouse), here’s how you can. Continue reading →
Video tearing has been the bane of Linux’s existence on desktops and laptops, but the situation is vastly better than what it was a year ago. This post is related to fixing issues with the Intel HD3000 and HD4000 (Sandy Bridge and Ivy Bridge) series of graphics cards in Ubuntu. This is a clean fix that doesn’t involve any PPAs or experimental drivers, and has been tested on my HP Pavilion G4 running Ubuntu 12.04 on an Ivy Bridge i5. Continue reading →
This is a follow up to my previous post which was aimed at CUDA 4.2 on Ubuntu 12.04. Although 12.10 is out, it’s not as stable as I would like it to be – I’d recommend sticking with Ubuntu 12.04 for development unless you have specific reasons to upgrade. With CUDA 5, Nvidia has greatly simplified the installation process for Linux, packaging the CUDA toolkit, the SDK and the development drivers all in a neat little package.
Update (Oct 10, 2013) – I no longer have access to this router, and will not be able to respond to your queries (or try them out to find a solution). Feel free to leave a comment however, and hopefully some other reader will be able to help out.
I’ve recently purchased a D-Link DSL-2750U router which includes an ADSL 2+ modem as well as WiFi N 300 capabilities. It’s brilliant for its price, and has worked pretty well thus far. I could have used the included setup CD, but that’s not how we roll! Today, I’m going to detail a few steps to get your DSL-2750U working via the web interface. Albeit a little daunting at first, the web interface is actually quite flexible once you get the hang of it. A lot of these steps are probably recyclable for other routers, more so for other D-Link products that use a similar interface. Continue reading →
Thanks to the active developers over at CyanogenMod, we now have a build of Android’s latest and greatest (Jelly Bean, v4.1.1 as of this writing) available for the Samsung Galaxy S. If you’re like me and you can’t wait to get your hands dirty, here’s how you can get your fix.
This post is now outdated. Please refer this link for an updated version.
If you’re looking for a quick and easy way to get started with GPGPU computing, you really can’t go wrong with nVidia’s CUDA. It is a parallel computing architecture that harnesses the power of GPUs in order to achieve significant speedups in problems that would have otherwise taken a significantly longer time while executing on the CPU. It is the most mature architecture for GPGPU computing, with a wide number of libraries based around it. This guide is going to cover the installation of the CUDA toolkit and SDK on Ubuntu, along with the necessary development drivers.
NOTE – For CUDA to work, you must have an nVidia GPU which is CUDA capable. If you have an ATI GPU, this guide is not for you. You can, however, look into OpenCL.
NOTE – It is recommended that you have atleast 4 GB of RAM on your machine to ensure that both the guest and host operating systems have sufficient memory for a seamless experience. This guide was written for VirtualBox v4.1.8 on a Windows 7 host.
If you’re one of those people who’ve always wanted to try out Linux, but put it off for fear of messing up your computer beyond repair, virtual machines are a great way to experience it without breaking your existing Windows installation. As a bonus, you can simply delete them when you’re done tinkering and they’ll go away. As simple as that! Read on to find out how you can get started with virtual machines today.Find out how!