The Laboratory's Multiprogrammatic and Institutional Computing (M&IC) Program brings tailored, cost-effective classified and unclassified computing services to LLNL programs and scientists.
The Livermore Computing Center (LC) is primarily funded through the Advanced Simulation and Computing (ASC) and M&IC Programs. Because M&IC represents a broadening of services to multiple programs and to institutional users, such as Laboratory Directed Research and Development (LDRD) researchers, there are two related thrusts:
M&IC and the Stockpile Stewardship Program (SSP) have worked together to make LLNL a premier institution for computational and simulation science. Such standing is vital to the continued success of LLNL science programs and to the recruitment and retention of top scientists. M&IC constantly works at balancing investments to meet the widespread demand for capacity computing and provide cost-effective capability platforms. In fielding computing platforms and advanced data assessment capabilities, M&IC leverages the investments of the SSP for the mutual benefit of the SSP, other programs, and LLNL.
Through strong and consistent LLNL investments, M&IC's computing resources are used across LLNL to push the limits of computing and its application to simulation science. Through these efforts, LLNL has become a premier laboratory in simulation science, which has resulted in world-class scientific insight and has facilitated the recruitment and retention of leading physical and computer scientists. All LLNL programs and projects are bolstered through these efforts and provide LLNL scientists with access to world-class systems.
See our M&IC flyer for a concise overview of the M&IC Program.
The Computation Directorate issued a call for proposals for projects requiring significant unclassified computing resource allocations (greater than 2 million core-hours/year) on institutional capability systems for up to one year.
The call has been closed. Recipients of allocations will be announced at a later date.
See the Grand Challenge page for more details.