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I2PC Seminar Series - Loop-Based Alias Speculation Using Atomic Region Support

SpeakerWonsun Ahn (University of Illinois)
Date Jan 17, 2013
Time 4:00 pm - 5:00 pm   Central Time
Location Siebel Center 2405
Cost Free
Sponsor Illinois-Intel Parallelism Center
Contact Meg Osfar
Event type Other
Views 1179
Originating Calendar I2PC Events

Illinois-Intel Parallelism Center (I2PC) Distinguished Speaker Series



Thursday, January 17th, 4-5pm CST, Siebel Center 2405




      Loop-Based Alias Speculation Using Atomic Region Support


                                         Wonsun Ahn

                                     University of Illinois



ABSTRACT: Alias analysis is a critical component in many compiler optimiza- tions. A promising approach to reduce the complexity of alias anal- ysis is to use speculation. The approach consists of performing op- timizations assuming the alias relationships that are true most of the time, and repair the code when such relationships are found not to hold. This work proposes alias speculation that leverages hardware support for atomic regions, which is becoming increasingly popular today. The use of atomic regions eliminates the need for recovery code, which limits the scope and aggressiveness of past speculative alias schemes. In addition, it greatly decreases the amount of alias checks that have to be performed at runtime, which used to slow- down execution. The potential of the new alias speculation is tested with Loop Invariant Code Motion (LICM) and Global Value Num- bering (GVN) optimization passes.

This is work with Yuelu Duan and Josep Torrellas that will appear in ASPLOS 2013.

BIO: Wonsun Ahn is a postdoctoral research scientist at the Computer Science Department of the University of Illinois at Urbana-Champaign. He received his PhD degree from the same department at 2012 and his bachelor's degree from Seoul National University in Korea at 2004. His current research efforts are focused on making the hardware-software barrier more permeable by proposing hardware extensions to enable more compiler optimizations based on runtime information.




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