Launched in 2016, the ADSP targets at ‘big data’ science problems that require the scale and performance of leadership computing resources, such as the ALCF’s two petascale supercomputers: Mira, an IBM Blue Gene/Q system, and Theta, an Intel-Cray system.
From April 27 to June 20, 2018, researchers can use the ADSP open call to submit proposals for projects that will employ advanced data science and machine learning techniques to gain insights into very large datasets.
The program, which currently supports eight projects, allocates computing time and supporting resources to research teams focused on using the ALCF’s leadership-class systems and infrastructure to explore, demonstrate, and improve a wide range of data and learning techniques. These techniques include 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.
ADSP proposals undergo a review process to evaluate potential impact, data-scale readiness, diversity of science domains and algorithms, and other criteria.
ADSP projects are two-year awards. The selected projects will receive support from ALCF staff scientists to help the research teams reach their science goals. The projects may also be funded in part by Data Science postdoctoral scholars. In addition, the ALCF will provide training opportunities to familiarize teams with ALCF’s hardware and software environments.
To submit an application or for additional details about the proposal requirements, visit the ACLF website. Proposals will be accepted until the call deadline of 5 pm CDT on Wednesday, June 20, 2018. Awards will be announced in September and commence October 1, 2018.
