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MRI: Acquisition of High Speed Network Infrastructure for High Performance Distributed Computation in the Colleges of Science and Engineering

MRI: Acquisition of High Speed Network Infrastructure for High Performance Distributed Computation in the Colleges of Science and Engineering
MRI:科学与工程学院高性能分布式计算的高速网络基础设施的购置
批准号:
0922702
负责人:
Jose Castillo
金额:
$25.59万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2013-02-28

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中文摘要
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英文摘要
This award will fund the purchase of a Cisco 10 Gigabit/s switch and wavelength division multiplexing equipment to construct a three-way high-speed data link between science and engineering research groups affiliated with the Computational Science Research Center (CSRC) at San Diego State University (SDSU), the TeraGrid hub at the San Diego Supercomputer Center (SDSC), and the California Institute for Telecommunications and Information Technology(CalIT2) at the University of California, San Diego (UCSD). This network infrastructure will provide core data transmission resources for research groups at SDSU in physical chemistry, geophysics, astronomy, bioinformatics, thermal science, combustion engineering, fluid dynamics, nonlinear dynamics, ocean modeling, and computer science who routinely use SDSC and CalIT2 computing resources. The wavelength division multiplexing equipment will enable rapid network transactions between the two campuses, thereby allowing researchers at SDSU to rapidly transfer terabytes of data generated on TeraGrid clusters back to SDSU for local visualization and post-processing.The core 10 Gigabit/s switch will initially interconnect server room facilities at SDSU in two separate colleges: the College of Science and the College of Engineering. The switch will also provide several additional 10 Gigabit/s interfaces for individual research laboratories to connect and thereby form a high-speed research backbone network on the SDSU campus. Research projects that will immediately make use of this network infrastructure include (1) the development of a service oriented architecture/cyberinfrastructure of chemical equilibrium and kinetic services used to model gas turbine NOx emissions in syngas combustion, (2) the development of a cyberinfrastructure for the General Curvilinear Ocean Model (GCOM),(3) computational quantum mechanical studies of floppy reactive intermediates, (4) the numerical investigation of high-order particle-source-in-cell (PSIC) methods for the simulation of pulse detonation engines, and (5) the development of PetaShake, a petascale implementation of the TeraShake parallel Anelastic Wave Model (AWM) code that simulates earthquake scenarios using several billion grid points. These projects currently place heavy demands on the existing SDSU campus network. SDSU researchers now require greater throughput and shorter delay when exchanging datasets and this grant will provide a much needed improvement to SDSU-UCSD network connectivity by funding the necessary equipment to facilitate rapid data transfer between the two universities. In addition to faculty and graduate student use, this network infrastructure will be used by undergraduate students working on projects that include (1) senior thesis research projects in computer science and computer engineering, (2) programming projects in courses such as computer networking, high-speed network design, client-server programming, and distributed computing, and (3) undergraduate research carried out under existing, externally funded fellowship programs. SDSU occupies a strong position for making these opportunities available to minorities underrepresented in science and engineering research, as one of the top ten campuses in the nation granting bachelor's degrees to ethnic minorities.
期刊论文(1)
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会议论文
Parallel Implementation of a PETSc-Based Framework for the General Curvilinear Coastal Ocean Model
基于 PETSc 的通用曲线沿海海洋模型框架的并行实现
DOI: 10.3390/jmse7060185
发表时间: 2019
期刊: Journal of Marine Science and Engineering
影响因子: 2.9
作者: [Valera, Manuel, Thomas, Mary P., Garcia, Mariangel, Castillo, Jose E.]
通讯作者: Castillo, Jose E.
CC* Compute: Central Computing with Advanced Implementation at San Diego State University
Broadening Opportunities for Interdisciplinary Computational Science and Engineering Research Training (ICSERT)
CC-NIE Network Infrastructure: Implementation of a Science DMZ at San Diego State University to Facilitate High-Performance Data Transfer for Scientific Applications
Acquisition of a Computational Mathematics Cluster
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