logo

Scientific Discovery through Advanced Computing (SciDac): High Energy Physics

Sector: Advanced Electronics • Location: United States of America

Source: Grants.gov

Project
Archived

The Office of High Energy Physics (HEP) and the Office of Advanced Scientific Computing Research (ASCR) of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announce their interest in receiving peer reviewable proposals from interdisciplinary multi-institutional teams to the Scientific Discovery thro

Project Information FAQ

Project Information

5 Q
The project “Scientific Discovery through Advanced Computing (SciDac): High Energy Physics” is an infrastructure initiative in the Advanced Electronics sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

archived

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

Description

The Office of High Energy Physics (HEP) http://science.energy.gov/hep/research/ and the Office of Advanced Scientific Computing Research (ASCR) http://science.energy.gov/ascr/research/ of the Office of Science (SC), U.S. Department of Energy (DOE), hereby announce their interest in receiving peer reviewable proposals from interdisciplinary multi-institutional teams to the Scientific Discovery through Advanced Computing (SciDAC) program, for Scientific Computation Application Partnerships (hereafter, Partnerships) in the area of computational high energy physics. Applications should propose two-year research plans and demonstrate how the proposed research will advance the HEP mission http://science.energy.gov/hep/about by fully exploiting leadership class computing resources (by which we mean those existing at or planned in the next five years for the Oak Ridge and Argonne Leadership Computing Facilities, or the high performance production computationa l systems at the National Energy Research Scientific Computing Center, or similar computing facilities, see http://science.energy.gov/ascr/facilities/.) Proposals should focus on computational advances for the HEP Science drivers http://science.energy.gov/hep/research/science-drivers-of-particle-physics/ and be aligned with 2014 P5 priorities. Proposals from established areas for use of supercomputers such as Computational Cosmology, Lattice Gauge Theory, and Accelerator Modeling and Simulation will be considered along with those from emerging HPC users. Innovative research for HEP data analysis and simulation tools and HEP crosscut initiatives are included in the scope of this Funding Opportunity Announcement. Proposals must demonstrate viable partnerships with ASCR SciDAC Institutes http://science.energy.gov/ascr/research/scidac/scidac-institutes/ and propose ways to contribute to cross cut computational needs of the HEP community. Partnerships are encouraged to request joint fu nding from HEP and ASCR Offices under this Announcement by stating the requested funding amounts from HEP and ASCR, respectively, and supporting their proposed funding distribution in the budget justification (see Management Plan). All proposers should provide clear plans for engagement with the ASCR SciDAC Institutes as applicable and propose contributions to HEP cross cut computing.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data