Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Decomposing the load-store queue by function for power reduction and scalability

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 $31
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

2 Author(s)
Baugh, L. ; University of Illinois at Urbana-Champaign, Department of Computer Science, 201 N. Goodwin Avenue, Illinois 61801, USA ; Zilles, C.

Because they are based on large, content-addressable memories, load-store queues (LSQs) present implementation challenges in superscalar processors. In this paper, we propose an alternate LSQ organization that separates the time-critical forwarding functionality from the process of checking that loads received their correct values. Two main techniques are exploited: First, the store-forwarding logic is accessed only by those loads and stores that are likely to be involved in forwarding, and second, the checking structure is banked by address. The result of these techniques is that the LSQ can be implemented by a collection of small, low-bandwidth structures yielding an estimated three to five times reduction in LSQ dynamic power.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:50 ,  Issue: 2.3 )