Thomas LeCompte and Taylor Childers put supercomputers to work for Energy Frontier experiments by running LHC event generation at massively parallel scales on Mira, the supercomputer hosted by Argonne‘s Leadership Computing Facility. MPI (Message Passing Interface) was used to make Alpgen, a leading-order event generator, run in parallel threads. This work used a discretionary computing allocation on Mira to start the process of scaling to the minimum job size on Mira (512-computing nodes). An ASCRLeadership Computing Challenge award of 50M core-hours on Mira enabled the production of ATLAS event generation samples in preparation for Run-II.
The date for this call has passed. The information below is for purposes of record only.
The Scientific Discovery through Advanced Computing (SciDAC): High Energy Physics call for DOE National Labs is available here. The University version can be foundhere. Letters of intent are due December 3, 2014, and are strongly encouraged. The proposal due date is January 7, 2015.
Summary: The Office of High Energy Physics (HEP) and the Office of Advanced Scientific Computing Research (ASCR) of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announce their interest in receiving peer reviewable proposals from interdisciplinary multi-institutional teams to the Scientific Discovery through Advanced Computing (SciDAC) program, for Scientific Computation Application Partnerships (hereafter, Partnerships) in the area of computational high energy physics. Applications should propose two-year research plans and demonstrate how the proposed research will advance the HEP mission by fully exploiting leadership class computing resources (by which we mean those existing at or planned in the next five years for the Oak Ridge and Argonne Leadership Computing Facilities, or the high performance production computational systems at the National Energy Research Scientific Computing Center, or similar computing facilities). Proposals should focus on computational advances for the HEP Science drivers and be aligned with 2014 P5 priorities. Proposals from established areas for use of supercomputers such as Computational Cosmology, Lattice Gauge Theory, and Accelerator Modeling and Simulation will be considered along with those from emerging HPC using areas. Innovative research for HEP data analysis and simulation tools and HEP crosscut initiatives are included in the scope of this Funding Opportunity Announcement. Proposals must demonstrate viable partnerships with ASCR SciDAC Institutes and propose ways to contribute to cross cut computational needs of the HEP community. Partnerships are encouraged to request joint funding from HEP and ASCR Offices under this Announcement by stating the requested funding amounts from HEP and ASCR, respectively, and supporting their proposed funding distribution in the budget justification (see Management Plan). All proposers should provide clear plans for engagement with the ASCR SciDAC Institutes as applicable and propose contributions to HEP cross cut computing.