Matthias Kaiserswerth
IEEE/ACM Transactions on Networking
Blue Matter is the application framework being developed in conjunction with the scientific portion of the IBM Blue Gene® project. We describe the parallel decomposition currently being used to target the Blue Gene/ L machine and discuss the application-based trace tools used to analyze the performance of the application. We also present the results of early performance studies, including a comparison of the performance of the Ewald and the particle-particle particle-mesh (P3ME) methods, compare the measured performance of some key collective operations with the limitations imposed by the hardware, and discuss some future directions for research. © Copyright 2005 by International Business Machines Corporation.
Matthias Kaiserswerth
IEEE/ACM Transactions on Networking
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011
Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007
Corneliu Constantinescu
SPIE Optical Engineering + Applications 2009