By Topic

Hardware software co-design using profiling and clustering

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Mishra, A. ; Electr. & Electron.Group, BITS, Pilani, India ; Garg, K. ; Asati, A.R. ; Solomon Raju, K.

The digital system design process can be accelerated by concurrent design of hardware and software. This process requires the migration of functions that are computational extensive to hardware. This paper presents a framework for identifying such functions by proposing an algorithm. The framework uses the time profiling and clustering technique to achieve the objectives. Open source spark compiler has been used to convert functions to hardware description language The final interfacing has been done in embedded development kit.

Published in:

Communication, Information & Computing Technology (ICCICT), 2012 International Conference on

Date of Conference:

19-20 Oct. 2012