🚀 go-pugleaf

University of Colorado at Boulder
Department of Computer Science
ECOT 717 Engineering Center
Campus Box 430
Boulder, Colorado 803090430
(303) 492-7514, FAX: (303) 492-2844

CS COLLOQUIUM
Reducing the overheads of object-oriented languages
Amer Diwan
University of Colorado, Department of Computer
Science
Thursday, October 24, 2002
3:30 - 4:30 PM
Engineering Center Classroom 265

Modern object-oriented languages offer many software engineering benefits. 
For example garbage collection increases programmer productivity by 
eliminating many kinds of memory management bugs.  However, the features in 
object-oriented languages also have a cost.  The cost may be in terms of 
performance (e.g., high overhead of garbage collection or polymorphism) or 
programmer time (e.g., when the garbage collector does not free large, dead 
data structures). My research focuses on reducing the costs of modern 
object-oriented programming languages.

This talk focuses on one aspect of my research: connectivity-based garbage 
collection (cbgc). Most state-of-the-art garbage collectors today are 
generational; i.e., they assume that the longer an object has survived, the 
less likely it is to die (generational hypothesis).  While this hypothesis 
is often true, it is well known that it does not hold for many programs. 
Even when the hypothesis holds, generational collectors often have a high 
overhead because they need to track pointers from older to younger objects. 
Our research proposes an alternative, CBGC, to generational (or more 
generally age-based collectors) that eliminates many of the overheads of 
generational collection. CBGC works by partitioning objects based on their 
connectivity not age, and also uses connectivity information to when to 
collect each partition. Our preliminary results show that our approach has 
significant promise for achieving short pause times, smaller memory 
footprint, and effective collections.

Host:  Richard Byrd
------------------------------
http://www.cs.colorado.edu/department/events/colloquia/colloquia.html
Sign Language Interpreters Available Upon Request.  Please contact 
Stephanie Morris, Department of  Computer Science, Engineering  ECOT 722, 
303-492-6101, at least five days prior to the colloquium.

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