Brian McCandless, Tor Raubenheimer, Kwok Ko (SLAC)
The increase in single processor speed based on Moores law alone will not be able to deliver the dramatic speedup needed in many beam tracking simulations to uncover very slowly evolving effects in a reasonable time. SLAC has embarked on an effort to bring the power of parallel computing to bear on such computations with the goal to reduce the turnaround time by orders of magnitude so that the results may impact present facilities and future machine designs. This poster will describe the approaches adopted for parallelizing the LIAR code and the ION_MAD code. We will present the parallel simulations from their respective applications to study the ground motion effect on bunch trains in the NLC linac and the fast-ion instabilities in the APS ring. The scalability of these tracking codes and their further improvement will be discussed.
*Work supported by the Department of Energy, contract DE-AC03-76SF00515.
Comments or Questions to
linac2000@slac.stanford.edu