[Acpc-l] Vortrag HEUTE : M. Malawski and K. Zajac

[Peter Brezany]

	   UNIVERSITAET WIEN INSTITUT FUER SOFTWAREWISSENSCHAFT
			      gemeinsam mit
	    FWF-Projekt Spezialforschungsbereich F011 "AURORA"


       EINLADUNG ZU EINEM VORTRAG IM RAHMEN DES AURORA-KOLLOQUIUMS

	      ZEIT:  Montag, 24. 9. 2001, 16.15 Uhr s.t.
		ORT:  Institut fuer Softwarewissenschaft,
		      1090 Wien, Liechtensteinstrasse 22, 
	                      Seminarraum, Mezzanin
	                      
	                    
	          Maciej Malawski and Katarzyna Zajac
	          	          
	          
	          Institute of Computer Science, AGH
			   Krakow, Poland
			   
			   
	      Advanced Library Support for Irregular Data Intensive 
	             Scientific Computing on Clusters
	             
	             
In the past few years, clusters of workstations and PCs have emerged
as an important and rapidly expanding approach to parallel computing.

Although current cluster systems involve large main memories, many
advanced applications access data sets that are often too massive to 
fit in main memory  of even the most powerful clusters and must therefore 
reside on disk and be fetched during execution of the program.
Such applications are called out-of-core (OOC) applications. Traditionally, 
in scientific computations, OOC problems are handled in two different
ways: (1) virtual memory, which allows the in-core program version to be run 
on larger data sets, and (2) specific OOC techniques explicitly interface
file I/O and focus on its optimization.

This talk presents an advanced library system called LIP supporting
parallelization of irregular codes, an important class of scientific
applications, for cluster systems. The library supports parallelization
of both out-of-core and in-core irregular applications in Java,
C, and C++ programming environments and is built up on top of 
MPI/MPI-IO. Therefore, it is fully portable.

The talk is organized as follows: first, we introduce
the terms and concepts relevant to the area of irregular and OOC computing. 
Next, we outline the parallelization and optimization techniques for 
irregular problems. We present the classification of OOC problems 
and describe optimization methods used in this field.
Then, the main concepts the LIP library is based on are presented. 
We also outline a Java to Native Interface Extension
Tool that was used to create Java bindings to the LIP library.
We present performance results obtained from runs of synthetic 
and real benchmarks on various parallel architectures.
Finally, we summarize the results of our research and outline several proposals 
for future development - the main focus is devoted to possible extensions 
of the LIP library toward Grid computing.