Hello, A yearly allocation for the LCRC cluster has been requested with the following updated information: Submitter/PI: Michael Borland Project Name: ApsRenewalLattice Division: ASD Project title: Lattice Development and Beam Dynamics for APS Upgrade Associated funding: Department of Energy,Office of Science, Office of Basic Energy Sciences Other Systems: ASD "weed" cluster, operated by ASD/AOP group. weed has 56 Nehelem processors with a lustre filesystem and infiniband network. I typically have access to about 50% of the cluster full time. Science: As part of the APS Upgrade, the accelerator lattice (the location and powering of the magnets) may be completed replaced with a multi-bend achromat (MBA) configuration. This configuration promises dramatically lower emittance and dramatically higher x-ray brightness. If successful, it would make APS the brightest storage ring hard x-ray source in the world. The goal of this project is to design and validate an MBA lattice suitable for incorporation into the APS Upgrade. Project description: APS has developed a method of using multi-objective genetic algorithms (MOGA) for optimization of accelerator lattices. In past years, this method has been applied successfully using fusion, intrepid, and a small APS cluster to development and evaluation of lattices for the APS Upgrade. In the coming year, we are working on a multi-bend achromat (MBA) lattice design that promises to push APS x-ray brightness to world-leading levels. Significant progress has already been made and results are very encouraging. Our approach is to create a series of lattices that gradually push performance up while simultaneously incorporating on-going constraints derived from on-going interactions with magnet and vacuum system designers. As such, the process is naturally iterative, working toward a major technical review in December 2013 and a major project review in Spring 2014. In addition to MOGA, we will perform ensemble evaluation to assess the robustness of solutions, evaluate effects of insertion devices, and explore collective instabilities. The codes being used have all been used in past years on fusion. These include Pelegant, a parallel accelerator simulation code used primarily for particle tracking and acceptance determination, as well as a Tcl script used for genetic optimization. The simulations are close to embarrassingly parallel and thus scale very well. Project URL: Current FY Hours Used: undetermined amount New FY Requested allocation: 7000000 Q1: 3000000 Q2: 2000000 Q3: 1000000 Q4: 1000000 Justification: The code is already running efficiently on Blues. Scaling is very good because the code is close to embarrassingly parallel. The MOGA script runs many simultaneous, unconnected jobs, each using 2 nodes. Because each job uses only 32 cores, scaling is not relevant. Jobs are sized to take advantage of the number of cores provided, e.g., by tracking n*32 particles so that each core has an approxiamtely equal workload. Thank You, The LCRC Accounts System