[hpc-announce] ALCF Data Science Program - Call for Proposals

Vishwanath, Venkatram venkat at anl.gov
Mon Apr 18 14:17:31 CDT 2016

The Argonne Leadership Computing Facility Data Science Program (ADSP) is targeted at “big data” science problems that require the scale and performance of leadership computing resources. The goal of the program is to help explore and improve a variety of computational methods that will help enable data-driven discoveries across all scientific disciplines.

URL: http://www.alcf.anl.gov/alcf-data-science-program

Call for Proposals:
The call for proposals is now open through May 31, 2016. Please see the proposal instructions for more information: http://www.alcf.anl.gov/alcf-data-science-program-proposal-instructions

ADSP will be an ongoing program with a regular call for proposals each year. ALCF plans to select two ADSP projects each year for two-year awards. If a renewal is needed, a new proposal will still be required.

Program Overview:
ADSP projects are expected to cover a wide variety of application domains that span experimental and observational sciences. The projects will focus on data science techniques 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 goal of the program is to explore, prove, and improve such techniques on leadership-class systems.

Computing Platforms:
ADSP project teams will have access to ALCF computing resources, including its primary production system, Mira, as well as visualization and analytics clusters, storage and, eventually, Theta, the 8.5-petaflops Cray XC40 system using Intel Xeon Phi 2nd Generation processors, expected to arrive later this year.

ADSP Resources:
Staff and Postdoc Support: The chosen ADSP projects will receive part-time support from ALCF staff. In addition, the ALCF will hire two postdocs to work directly with the ADSP projects.

Training and Hardware Access:
ALCF will offer targeted training for the ADSP projects. Depending on the requirements of the projects, this training is likely to include a detailed introduction to the hardware and software stack, access to early hardware, deep dives on specific hardware features, and customized tutorials.

Computing and Storage Resources:
ADSP projects will be awarded compute time and storage space on Theta. The initial compute time awards are expected to range from 50 million core-hours to 150 million core-hours. Awards for the second year will be based on the proposal and consultation with the project. Storage requirements may be up to 100 terabytes, and any additional project needs could be accommodated in consultation with the ALCF.

Reporting Requirements:
ADSP project teams are expected to provide quarterly progress reports, participate in update calls, collaborate with ALCF staff, help prepare highlights of notable accomplishments and results, and provide a written report at the end of the project.
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