Launched in 2016, the ADSP supports data-centric computing projects that require the scale and performance of leadership-class supercomputers, such as Theta, the ALCF's 11.69 petaflops Intel-Cray system.
The ADSP open call provides an opportunity for researchers to submit proposals for projects that will employ advanced statistical, machine learning, and artificial intelligence techniques to gain insights into massive datasets produced by experimental, simulation, or observational methods.
The programme, which currently supports eight projects, allocates ALCF computing time and supporting resources to research teams focused on exploring, demonstrating, and improving 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, you can visit the Data Science Programme website.
Proposals will be accepted until the call deadline of 5 p.m. CT on July 1, 2019. Awards will be announced in September and commence October 1, 2019.