Simple Configuration of iptables on Debian
I do not use any GUI application to configure the network interfaces on my Linux machines. Instead, I simply edit the configuration files.
The simplest way, among many solutions found on the web, was to write a script that runs iptables with various command line switches.
So I wrote a simple script, /etc/network/if-up.d/iptables, as follows. Whenever a network interface is brought up, the scripts in /etc/network/if-up.d are executed. If the file does not exist, you can create one.
#!/bin/sh
# Flushing all rules
iptables -F
iptables -X
# Setting default filter policy
iptables -P INPUT ACCEPT
iptables -P OUTPUT ACCEPT
iptables -P FORWARD ACCEPT
# Block the use of http://www-proxy:3128
iptables -A OUTPUT -p tcp --dport 3128 -j DROP
Please, refer to the man page if you desire to know what each iptables command does.
Now, all you need to do is run chmod to set the right permission.
chmod a+x /etc/network/if-up.d/iptables
NVIDIA Research Summit
- September 30 – October 2, 2009 – The Fairmont Hotel, San Jose, California
The NVIDIA Research Summit is a cross-disciplinary forum during the GPU Technology Conference. The Research Summit is intended for researchers and students interested in using GPUs in science and engineering. Attendees new to GPU computing will learn how GPU computing can drastically increase computational power and dramatically reduce time-to-discovery; attendees already using GPU computing can learn advanced topics in GPU computing, discuss their work with NVIDIA engineers and researchers and network with each other.
For more information, visit http://www.nvidia.com/researchsummit
The Slides from Workshop on High Performance GPU Computing with NVIDIA
The slides from Workshop on High Performance GPU Computing with NVIDIA are available at:
http://www.cse.unsw.edu.au/~pls/cuda-workshop09.
Thanks to Mark Harris, Manuel Chakravarty and Dragan Dimitrovici for the great talks, and NVIDIA and Xenon Systems for sponsoring the workshop.
Workshop on High Performance GPU Computing with NVIDIA CUDA
It is now open for registration.
Level 1 Seminar Room, K17, CSE, UNSW, Sydney
April 17, 2009
http://www.cse.unsw.edu.au/~pls/cuda-workshop09.
GPU Kernels as Data-Parallel Array Computations in Haskell
The final version of the paper, “GPU Kernels as Data-Parallel Array Computations in Haskell”, has been sent to EPHAM 2009, which willl be held in conjunction with CGO 2009 between 22 Mar 2009 and 25 Mar 2009.
The paper can be found at http://www.cse.unsw.edu.au/~chak/papers/gpugen.pdf.