The PLASMA group investigates issues spanning the areas of programming languages, run-time systems (especially memory management) and operating systems. The focus of the group is on cooperative system support for robust and high-performing computing in the context of modern programming languages.
 

people
 
Prof. Emery Berger
Prof. Eliot Moss
Prof. Prashant Shenoy
Prof. Scott Kaplan (Amherst College)
Yi (Eric) Feng
Matthew Hertz
Gene Novark
Ting Yang

 
projects
 
CRAMM, Cooperative Robust Automatic Memory Management
SAVMM, Scheduler-Aware Virtual Memory Management
Heap Layers, infrastructure for building memory managers
Hoard, fast and scalable memory manager

 
   
   
 
 
recent publications UMass CS TR-04-17:
Automatic vs. Explicit Memory Management:
Settling the Performance Debate

with Matthew Hertz.
UMass CS TR-04-16:
Page-Level Cooperative Garbage Collection

with Matthew Hertz and Yi (Eric) Feng - Abstract.
UMass CS TR-04-15 (to appear in OOPSLA 2004):
MC2: High-Performance Garbage Collection for Memory-Constrained Environments

with Naren Sachindran and Eliot Moss.
UMass CS TR-04-14 (to appear in ISMM 2004):
Autonomic Heap Sizing: Taking Real Memory into Account

with Ting Yang, Matthew Hertz, Scott Kaplan, and Eliot Moss - Abstract.
SOSP 2003 (poster): Scheduler-Aware Virtual Memory Management
Emery Berger, Scott Kaplan, Bhuvan Urgaonkar, Pritesh Sharma, Abhishek Chandra, Prashant Shenoy
  OOPSLA 2002: Reconsidering Custom Memory Allocation
Emery Berger, Ben Zorn & Kathryn McKinley
- Abstract, PowerPoint.
  PLDI 2001: Composing High-Performance Memory Allocators
Emery Berger, Ben Zorn & Kathryn McKinley
- PowerPoint, HeapLayers 0.2 (Zip, Tarball), benchmark suite.
  ASPLOS-IX: Hoard: A Scalable Memory Allocator for Multithreaded Applications Emery Berger, Kathryn McKinley, Robert Blumofe, & Paul Wilson - PowerPoint, Hoard home page.
  Ph.D. THESIS: Memory Management for High-Performance Applications, Emery Berger, Department of Computer Sciences, The University of Texas at Austin (2002).
nominated for ACM best dissertation award