ACM SIGPLAN Workshop on Memory Systems Performance and Correctness
Co-located with PLDI 2012

Call for Papers (PDF, HTML, text)
Organizing Committee
Final Program
Final Paper Guidelines
Past Workshops
Link to ACM Proceedings


Important Dates

Paper Submission:
Mar 12, 2012 (11:59pm EDT)
Mar 22, 2012 (11:59pm EDT)
You can still submit a full paper even if you have not submitted an abstract.
Apr 23, 2012
Final Submission:
May 8, 2012

Final Program

8:30-8:45 Opening Remarks: Lixin Zhang, ICT, Chinese Academy of Sciences
8:45-9:00 Program Chair's Note: Onur Mutlu, Carnegie Mellon University (PDF) (slides)
9:00-10:15 Can Parallel Data Structures Rely on Automatic Memory Managers? (slides)
ISMM/MSPC Invited Talk: Erez Petrank, Technion (Bio)
10:15-10:30 Break
10:30-11:20 Session 1: Locality and Memory Models

Session Chair: Chen Ding, Rochester

Identifying Optimal Multicore Cache Hierarchies for Loop-based Parallel Programs via Reuse Distance Analysis
Meng-ju Wu and Donald Yeung
University of Maryland
(ACM DL Link) (slides) (poster)

Can Seqlocks Get Along with Programming Language Memory Models?
Hans Boehm
HP Labs
(ACM DL Link) (slides) (poster)

11:30-12:20 Session 2: Memory Scheduling

Session Chair: Hyesoon Kim, Georgia Tech

Rank Idle Time Prediction Driven Last-Level Cache Writeback
Zhe Wang, Samira Khan, and Daniel Jimenez
University of Texas at San Antonio
(ACM DL Link) (slides) (poster)

Trace-driven Simulation of the Memory System Scheduling in Multithread application
Pengfei Zhu, Mingyu Chen, Yungang Bao, Licheng Chen, and Yongbing Huang
ICT, Chinese Academy of Sciences
(ACM DL Link) (slides) (poster)

12:30-13:30 Break
13:30-14:45 Session 3: Memory Management

Session Chair: Erez Petrank, Technion

Parallel Memory Defragmentation on a GPU
Ronald Veldema, Michael Philippsen
Universitat Erlangen-Nurnberg
(ACM DL Link) (slides) (poster)

Analysis of Pure Methods using Garbage Collection
Erik Österlund and Welf Löwe
Linnaeus University
(ACM DL Link) (slides) (poster)

Towards Region-Based Memory Management for Go
Matthew Davis, Harald Sondergaard, Peter Schachte, and Zoltan Somogyi
University of Melbourne
(ACM DL Link) (slides)

15:00-15:30 Break
15:30-16:15 Session 4: Poster Potpourri

Session Chair: Hans Boehm, HP Labs

A Higher Order Theory of Locality
Chen Ding and Xiaoya Xiang
University of Rochester
(ACM DL Link) (slides) (poster)

Supporting Virtual Memory in GPGPU without Supporting Precise Exceptions
Hyesoon Kim
Georgia Tech
(ACM DL Link) (slides) (poster)

A Study Towards Optimal Data Layout for GPU Computing
Eddy Zheng, Zhang, Han Li, and Xipeng Shen
The College of William and Mary
(ACM DL Link) (slides) (poster)

Design Space Exploration of Memory Model for Heterogeneous Computing
Jieun Lim and Hyesoon Kim
Seoul National University
(ACM DL Link) (slides) (poster)

Defensive Loop Tiling for Multi-core Processor
Bin Bao and Xiaoya Xiang
University of Rochester
(ACM DL Link) (slides)

16:15-17:30 Poster Session and Wild and Crazy Idea Presentations

ISMM/MSPC Invited Talk

Can Parallel Data Structures Rely on Automatic Memory Managers?
Erez Petrank, Technion

The complexity of parallel data structures is often measured by two major factors: the throughput they provide and the progress they guarantee. Concurrent access (and furthermore, optimistic access) to shared objects makes the management of memory one of the more complex aspects of concurrent algorithm design. The use of automatic memory management greatly simplifies the design of parallel algorithms. However, currently we do not know how to build a practical automatic memory manager that supports concurrent algorithms with progress guarantees. This talk examines the current state-of-the-art memory management support for concurrent algorithms, and spells out the most difficult open problem facing the memory management community today.

Erez Petrank is a professor of computer science at the Technion. Erez's research interests are in the areas of memory management and parallel algorithms. He has been active in designing concurrent data structures and various memory management algorithms. He also participated in the construction of practical systems at IBM and at Microsoft.