Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
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.
Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
Ohad Shamir, Sivan Sabato, et al.
Theoretical Computer Science
Gabriele Dominici, Pietro Barbiero, et al.
ICLR 2025
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering