About

The Center for Computation and Visualization provides high-performance computing and visualization services to the Brown community. We also collaborate with researchers on projects across vast range of disciplines.

Mission


We envision an environment where computational best practices, innovative solutions, and expert knowledge combine to build advanced tools for research and to enable new discoveries. Our mission is to provide the scientific and technical computing expertise required to advance computational research and support Brown’s academic mission. In practice, this frequently means partnering with researchers for projects that may span weeks, months, or years. In some cases, these partnerships can involve researchers using grant funds as partial support of one of our research software engineers or data scientists. We have a team of data scientists and research software engineers with a huge variety of scientific backgrounds (e.g., Engineering, Physics, Computer Vision, Biology, Psychology, Statistics, Applied Math, Computer Science, etc.), so we can closely calibrate a person with a project.

People


Leadership

Linnea Wolfe

Director of Operations

Mete Tunca

Assistant Director of Cloud and Research Computing

Paul Stey

Director of Scientific Computing and Data Science

Sam Fulcomer

Associate Director

Thomas Serre

Faculty Director

CCV Operations

David D Johnson

Senior HPC Systems Engineer

Geoffrey Avila

Senior HPC Systems Engineer

Paulo S Baptista

Senior Research Systems Administrator

Singh Saluja

Research Services Support Specialist

Advanced Research Computing

Ashok Ragavendran

Lead Data Scientist

Computational Biology Core

Andrew Leith

Genomics Data Scientist

Computational Biology Core

August Guang

Genomics Data Scientist

Computational Biology Core

Joselynn Wallace

Genomics Data Scientist

Computational Biology Core

Isabel Restrepo

Lead Data Scientist

Data & Visualization

Benjamin Knörlein

Senior Research Software Engineer

Data & Visualization

Camilo Diaz

Graphics/Visualization Software Engineer

Data & Visualization

Fernando Gelin

Senior Research Software Engineer

Data & Visualization

Mary McGrath

Data Scientist

Data & Visualization

Helen Kershaw

Lead Research Software Engineer

High-Performance Computing

Paul Hall

Senior Research Software Engineer

High-Performance Computing

Raj Shukla

Research Software Engineer

High-Performance Computing

Andras Zsom

Lead Data Scientist

Institutional Data

Ashley S. Lee

Senior Data Scientist

Institutional Data

Sam Bell

Data Scientist

Institutional Data

CCV Interns

Aryan Srivastava

Virtual Reality Intern

Data & Visualization

Cameron Webster

Data science Intern

Institutional Data

Kalvin Lam

Virtual Reality Intern

Data & Visualization

Louis Kilfoyle

Data Science Intern

Institutional Data

Maura Driscoll

Web Development Intern

Data & Visualization

Minsik Cho

HPC Intern

High-Performance Computing

Rashi Dhar

Web Development Intern

Data & Visualization

Tiffany Lei

Web Development Intern

Data & Visualization

Diversity Statement


CCV embraces a community enriched and enhanced by diverse dimensions, including race, ethnicity and national origins, disability status, gender and gender identity, sexuality, class and religion. We believe diversity brings innovation and progress. We are especially committed to increasing the representation of those populations that have been historically underrepresented in STEM.

We are committed to attracting, recruiting and retaining a diverse team. We especially encourage individuals from underrepresented groups to join our community.

Opportunities


Research Services Support Specialist

CCV Operations | User Services

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Manager CCV Service Center

CCV Operations | User Services

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Research Software Engineer/Senior Research Software Engineer

Advanced Research Computing | High-Performance Computing

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Research Software Engineer/Senior Research Software Engineer

Advanced Research Computing | Data & Visualization

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Data Scientist/Senior Data Scientist

Advanced Research Computing | Institutional Data

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How to Cite CCV


Acknowledgment

If you publish research that benefited from the use of CCV services or resources, we would greatly appreciate an acknowledgment that states:

This research [Part of this research] was conducted using [computational/visualization] resources and services at the Center for Computation and Visualization, Brown University.

Facilities Statement

If you are writing a grant proposal for research that will use CCV facilities, please use the following text as a short description of our facilities:

Brown University continues to make significant investments in resources to promote high performance computing, analysis, and handling of massive data sets. A key resource is the Center for Computation and Visualization (CCV). CCV functions are to partner with faculty and researchers in their funded research projects with CCV application scientists, who write, test, and optimize code, and are co-authors on scientific publications; to generate, store, backup, analyze or visualize large datasets; and to provide the necessary infrastructure, including support, to transfer and share data at high bandwidths through a parallel file system. CCV establishes collaborations with research groups to install, run, test, and debug parallel or compute-intensive algorithms and applications and provides access to systems with specialized hardware, such as large memories or GPU co accelerators. CCV also provides a business model to integrate externally funded hardware into Brown’s on-campus data center.

The computing platform comprises a 450+ high performance computing node system, some with extra large memory and some with GPUs for accelerated computing, for a total core count of over 7,000, and peak performance of roughly 125 Teraflops. A GPFS parallel filesystem provides roughly 400 Terabytes of disk storage and 40 Gigabits per second Infiniband connectivity is used for all parallel applications messaging and I/O. The storage system is integrated with a 2 Petabyte Tivoli TSM backup/archival system. CCV also maintains a high end visualization lab with large scale immersive visualization capabilities. This includes a fully immersive 360 degree YURT, a 3-wall Cave system, and a multi-projector stereo flat display wall. Custom visualization solutions for software and hardware needs are available.

Please contact us if you need a more detailed description.