ALCF Data Science and Machine Learning Programs: From Petascale to Exascale

In addition to traditional high-performance computing simulations, ALCF is growing two additional computational science pillars: Data Science and Machine Learning. We anticipate two calls for proposals (CFPs) in 2018. One CFP will be for the ALCF Data Science Program (ADSP) which targets “big data” science problems for current leadership computing resources. Another CFP will be for the ALCF Early Science Program (ESP) targeting the Argonne 2021 exascale supercomputer. The goal of both programs is to explore and improve a variety of computational methods that will enable data-driven discoveries across all scientific disciplines. The projects will focus on data science techniques covering a wide area of discovery including but not limited 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. The ESP projects will ultimately have pre-production access to 2021 exascale system to run proposed calculations. The ADSP and ESP CFPs will be announced on the ALCF website, http://www.alcf.anl.gov.