Scaling physics and material science applications on a massively parallel Blue Gene/L system

George Almasi, James N. Glosli, Jeffrey A. Greenough, Francois Gygi, Alison Kubota, Steve Louis, Thomas E. Spelce, Frederick H. Streitz, Peter L. Williams, Robert K. Yates, Charles Archer, Gyan Bhanot (+9 others)
2005 Proceedings of the 19th annual international conference on Supercomputing - ICS '05  
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
more » ... tory. 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.
doi:10.1145/1088149.1088182 dblp:conf/ics/AlmasiBGGSWBCSGGGKLSSWYAMR05 fatcat:q4ho3aaszjbjnpfy672e7njdzm