ALCF seeking proposals to advance big data science
The Argonne Leadership Computing Facility, part of the US Department of Energy (DOE) Argonne National Laboratory is now accepting proposals for large data science projects. The Argonne Leadership Computing Facility Data Science Program (ADSP) is hoping to gain insight into large datasets produced by experimental, simulation, or observational methods in preparation for 200 petaflop system ‘Aurora’ which should begin operations at the Argonne facility in 2018.
From April 24 to June 15, ADSP’s open call provides an opportunity for researchers to make significant advances in data science and software technology through allocations of computer time and supporting resources at the Argonne Leadership Computing Facility (ALCF), a US Department of Energy Office of Science User Facility.
The ADSP, now in its second year, is the first program of its kind in the nation, and targets big data science problems that require the scale and performance of leadership computing resources. ALCF’s currently has two petascale supercomputers: Mira, an IBM Blue Gene/Q, and Theta, an Intel/Cray system that came online in 2017.
The winning proposals will be awarded time on ALCF resources and will receive support and training from dedicated ALCF staff. Applications undergo a review process to evaluate potential impact, data scale readiness, diversity of science domains and algorithms, and other criteria. This year, there will be an emphasis on identifying projects that can use the architectural features of Theta in particular, as future ADSP projects will eventually transition to Aurora, ALCF’s 200-petaflops Intel/Cray system expected to arrive late next year.
ADSP projects will focus on employing the leadership-class systems and infrastructure to explore and improve a wide range of data science techniques. This includes, but is not restricted to, uncertainty quantification, statistics, machine learning, deep learning, databases, pattern recognition, image processing, graph analytics, data mining, real-time data analysis, and complex and interactive workflows.
To submit an application or for additional details about the proposal requirements, visit the ALCF website. Proposals will be accepted until the call deadline of 5 p.m. CDT on Thursday, June 15, 2017. Awards will be announced in September and commence October 1, 2017.