Workshop on
Large-Scale Parallel Processing (LSPP)
Friday 18th April, 2008
Schedule
Keynote Presentation
8:10 High Processor Count Computing: The View
from 5832
Matt Reilly, Chief Engineer, SiCortex
Session
1: Node-level Issues
9:00 Data access optimizations for highly
threaded multi-core CPUs with multiple memory controllers,
G. Hager, T. Zeiser, G. Wellein, University of Erlangen
9:30 Experiences in Scaling Scientific
Applications on Current-generation Quad-core Processors
K.J. Barker, K. Davis, A. Hoisie, D.J. Kerbyson, M. Lang, S. Pakin, J. Sancho, Los
Alamos National Laboratory
10:00 Coffee Break
Session
2: Large-Scale Networks
10:30 Locality Aware MPI Communication on a
Commodity Opto-Electronic Hybrid Network
S. Takizawa, T. Endo, S. Matsuoka, Tokyo Institute of Technology
11:00 Symbolic Expression Analysis for Compiled
Communication
S. Shao, Y. Zhang, A. Jones, R. Melhem,
11:30 Optimization of Infiniband for Scientific
Applications
G. Johnson, D.J. Kerbyson, M. Lang,
12:00 Lunch
Session
3: Scalable Systems
1:30 A Scalable, Asynchronous Spanning Tree
Algorithm on a Cluster of SMPs
G. Cong, H. Xue,
2:00 On the Concept of Simultaneous Execution of
Multiple Applications on Hierarchically Based Cluster and the Silicon Operating
System
V. Nagarajan, R. TP Sai Sagar, S. Aananthakrishanan, D. Srinivasan, S. Ramalingam,
A. Vasudevan, B. Subramaniam, V. Sangkar, M. Manivannan, S. Gopalakrishnan, V.
Elangovan, K. Ganesan, V. Krishnamurthy, Waran Research Foundation
2:30 Application-specific Topology-aware Mapping
for Three Dimensional Topologies
A. Bhatele, L. Kale, University of Illinois at Urbana-Champaign
3:00 Coffee Break
Session
4: Highly Threaded Systems
3:30 GPU Acceleration of Numerical Weather
Prediction
J. Michalakes, M. Vachharajani, NCAR and
4:00 Using Hardware Multithreading to Overcome
Broadcast/Reduction Latency in an Associative SIMD Processor
K. Schaffer, R. Walker,
4:30 Faster Matrix-Vector Multiplication on
GeForce 8800GTX
N. Fujimoto,
5:00 Closing Remarks
Organized by: Darren J. Kerbyson, Los Alamos National Laboratory
Ram Rajamony, IBM Austin Research Labs
Charles Weems,