Title
Scaling physics and material science applications on a massively parallel Blue Gene/L system
Abstract
Blue Gene/L represents a new way to build supercomputers, using a large number of low power processors, together with multiple integrated interconnection networks. Whether real applications can scale to tens of thousands of processors (on a machine like Blue Gene/L) has been an open question. In this paper, we describe early experience with several physics and material science applications on a 32,768 node Blue Gene/L system, which was installed recently at the Lawrence Livermore National Laboratory. Our study shows some problems in the applications and in the current software implementation, but overall, excellent scaling of these applications to 32K nodes on the current Blue Gene/L system. While there is clearly room for improvement, these results represent the first proof point that MPI applications can effectively scale to over ten thousand processors. They also validate the scalability of the hardware and software architecture of Blue Gene/L.
Year
DOI
Venue
2005
10.1145/1088149.1088182
I4CS
Keywords
Field
DocType
early experience,blue gene,lawrence livermore national laboratory,parallel blue gene,node blue gene,current blue gene,current software implementation,l system,material science application,mpi application,software architecture,excellent scaling,scalability,materials science,mpi,applications
Massively parallel,Computer science,Blue gene,Parallel computing,L-system,Software architecture,Interconnection,Software implementation,Scaling,Scalability
Conference
ISBN
Citations 
PageRank 
1-59593-167-8
3
0.47
References 
Authors
8
21