Search Results for "assembly operating system"

OpenWrt Project is a Linux operating system targeting embedded devices. Instead of trying to create a single, static firmware, OpenWrt provides a fully writable filesystem with package management. This frees you from the application selection and configuration provided by the vendor and allows you to customize the device through the use of packages to suit any application.

Instructions: 1. Write this .iso file to a Pen Drive, with the Free multibootusb software ( links below ) 2. Boot from the Pen Drive, after changing the BIOS Boot Order quickly on system startup 3. First startup will show some info dialogs. These can be cancelled without making any changes 4. Click on the opendhcp folder link on Desktop 5. Right click the set_eth0_static_ipaddress.sh file and choose Open as Text option. Edit the file to meet your network needs. To know about...

The Common Open Research Emulator (CORE) is a tool for emulating networks on one or more machines. You can connect these emulated networks to live networks. CORE consists of a GUI for drawing topologies of lightweight virtual machines, and Python modules for scripting network emulation.

The project is implemented as part of the CS-110 operating system course at IIIT Bangalore 2013. Aodv protocol is implemented on GPU using CUDA 4.0. A significant gain in execution time is observed when compared to CPU. Thus a simulator which uses GPU can be built on similar lines of NS2 if all the protocols can be parallelized and implemented on GPU. Guide: Prof Shrisha Rao srao@iiitb.ac.in Prof Poonacha P G poonacha.pg@iiitb.ac.in Students: Abhilash C S abhilash.gowder@iiitb.org Abhishek Varshney abhishek.varshney@iiitb.org Dilip S dilip.s@iiitb.org Navik Yogesh Laljibhai navik.yogeshlaljibhai@iiitb.org Pradyot H Adavi pradyot.h.adavi@iiitb.org

The project is implemented as part of the CS-110 operating system course at IIIT Bangalore 2013. Aodv protocol is implemented on GPU using CUDA 4.0. A significant gain in execution time is observed when compared to CPU. Thus a simulator which uses GPU can be built on similar lines of NS2 if all the protocols can be parallelized and implemented on GPU. Guide: Prof Shrisha Rao srao@iiitb.ac.in Prof Poonacha P G poonacha.pg@iiitb.ac.in Students: Abhilash C S abhilash.gowder@iiitb.org Abhishek Varshney abhishek.varshney@iiitb.org Dilip S dilip.s@iiitb.org Navik Yogesh Laljibhai navik.yogeshlaljibhai@iiitb.org Pradyot H Adavi pradyot.h.adavi@iiitb.org