linux-3.8.4: Compile times

In Phoronix Forum I have received feedback regarding the CPU time issue, as described below, see “CPU Usage Time Is Dependant on Load”. Right now I use

3.2.0-38-generic #61-Ubuntu SMP Tue Feb 19 12:18:21 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux

So maybe this behaviour is kernel dependant. Therefore I compiled the latest stable Linux kernel, see The Linux Kernel Archives.

make menuconfig
time make
    . . .
real    69m59.311s
user    63m38.191s
sys     9m23.687s

It takes more than a complete hour on an AMD FX(tm)-8120 Eight-Core Processor, although basically only one core is used!

Fon and Deutsche Telekom Partner Together in Germany

Yesterday Fon and Deutsche Telekom announced that Deutsche Telekom wants to partner with Fon. Fon already partnered with British Telecom, with Portuguese Zon, with Belgian Belgacom, French SFR, Croatian (Deutsche) Telekom, and others. Fon already partnered with E-Plus in Germany. But this partnering with E-Plus, as far as I can tell, did not lead to anything.

As of today the hotspot landscape in Germany is quite sparse. Whenever you want to surf you have to pay unattractive rates. Starbucks being the exception.

Now the partnership from Fon and Deutsche Telekom may change the situation in Germany. Let’s see how this develops. For the records, below you’ll find the as of now.


GTC 2012 Keynote by Jen-Hsun Huang (Part 03): The NVIDIA Kepler GPU Architecture

NVidia CEO Jen-Hsun Huang speaks on GTC (GPU Technology Conference) 2012 on key differences between Fermi and Kepler. Key differences are

  1. SMX: Streaming Multiprocessor neXt generation
  2. Hyper-Q: keep GPU busy with queuing
  3. Dynamic Parallelism: GPU can now assign work to itself, e.g., run Quicksort without help from CPU

The video shows heatmaps of some GPUs, i.e., one can see graphically how much work is done on the GPU. The video is here:

Also have a look at the white-paper at NVIDIA‘s site: NVIDIA-Kepler-GK110-Architecture-Whitepaper

A similar presentation conducted by Stephen Jones, from NVIDIA: Inside the Kepler Architecture,