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Call to Participate in Data Mobility Exhibition

September 12, 2019
Greetings Current and Prior Campus Cyberinfrastructure (CC*) Awardees & R&E Community Members;
 
Data mobility is a critical component of the process of science.  Being able to predictably and efficiently move scientific data between experimental source, processing facilities, long-term storage, and collaborators is a common use case that transcends the boundaries of research disciplines.  
 
Current and previous CC* awardees, along with the greater R&E community, are encouraged to participate in an exciting and beneficial data mobility exhibition that will be conducted community wide, and highlighted at the 2019 and 2020 CC and CICI PI Meetings.  Using reference data sets, and existing or planned campus CI components, participants will download, measure, and potentially improve their scientific data movement capabilities.  
 
Steps to participate:
 
1) Create a brief (1-2 page) description of the network and data architecture for your campus environment using this template:
 
 
An example can be found here:
 
 
2) Prepare an environment to transfer reference data sets.  This should be done by utilizing a “local” data transfer machine, and the Globus Connect software.  It is recommended to use a machine that is already functioning for scientific use vs. a purpose built resource (e.g. let this be as close to production as you can).  Help can be requested at epoc@iu.edu 
 
3) Download the reference data sets and record the results.  Information on this is available here:
 
 
4) Share the description, and your results on a standardized spreadsheet:
 
 
With the organizers via this form:
 
 
5) For those that want to accelerate their results, 1:1 assistance, via the Engagement and Performance Operations Center (EPOC), is available: epoc@iu.edu 
 
This event begins “now”, and will extend for a full year, through the CC* 2020 PI meeting.  Participation is open to all – no requirement to be involved with CC* or CICI, in fact we would encourage sharing of this with other interested parties that may not see the initial message.  The purpose of this activity is to characterize the performance expectations for data movement at the researcher level, and improve these as needed across the R&E community.  Its a big task, and there may be challenges, but this community can and will meet them.  
 
More information on this event can be found here:
 
 
A webinar was held Friday August 30th @ 2pm ET to discuss the motivations and structure of this event further, it is available for viewing on YouTube
 
 
We encourage all interested parties to consider this event, questions or comments can be sent to epoc@iu.edu or discussion can continue on the CI Engineering mailing list: cybinf-engr@es.net 
 

South Dakota State U Seeks Research High Performance Computer Specialist (HPC Facilitator)

August 28, 2019

https://yourfuture.sdbor.edu/postings/17061

South Dakota State University is located in Brookings, SD.

The Division of Technology & Security (DTS) at South Dakota State University (SDSU) is announcing an opening for a 12-month, full-time, benefit-eligible Research High-Performance Computing (HPC) Specialist. This position will support computational applications and develop program algorithms that provide solutions to solve scientific problems associated with SDSU research projects. Must be authorized to work in the U.S. Sponsorship is not available for this position.

SDSU is especially interested in candidates that can contribute to and/or coordinate course offerings that address the experiences of underrepresented minorities in organizations. Women, minorities, veterans, and people with disabilities are especially encouraged to apply.

RESPONSIBILITIES:
The successful candidate will engage the university research community with efforts that include the design, planning, coordination, implementation, and training of HPC application, programming, and other associated HPC solutions to support the computational needs within SDSU grant research.

MINIMUM QUALIFICATIONS:
• Ph.D. completed by the date of hire;
• One year of HPC application experience within-cluster and single server environment(s), supporting CPU and data-intensive research;
• Experience engaging researchers (and graduate staff) to understand their research and propose the appropriate computational methodology to solve their scientific problems; 
• Experience leading training workshops/similar and developing HPC instructional materials or actively contributing as Service Personnel, PI, or a Co-PI on research grant proposals; 
• Demonstrated ability to work as a contributing team member; 
• Excellent oral and written communication skills;
• Strong interpersonal skills;
• Demonstrated use of technology in managing and/or delivering research applications and associated computer programs;
• Valid driver’s license, or ability to obtain one within 30 days of hire.

PREFERRED QUALIFICATIONS:
• At least three years of computational experience developing HPC application solutions;
• Ph.D. in a Computer or Data Science field;
• At least three years of computational experience in higher education working within a research computing department.
• Involvement in the development of instructional training materials for HPC and has actively contributed as Service Personnel, PI, or a Co-PI on research grant proposals.

Trusted CI Now Accepting Engagement Applications for Early 2020

August 14, 2019

Trusted CI is now accepting applications for one-on-one engagements to be executed in Jan-June 2020. Applications are due Oct 2, 2019 (Slots are limited and in demand, so this is a hard deadline!) To learn more about the process and criteria, and to complete the application form, visit their site http://trustedci.org/application

During Trusted CI’s first 5 years, Trusted CI has conducted more than 24 one-on-one engagements with NSF-funded projects, Large Facilities, and major science service providers representing the full range of NSF science missions.

 (See https://trustedci.org/engagedcommunities/.)  We support a variety of engagement types including: assistance in developing, improving, or evaluating an information security program; software assurance-focused efforts; identity management; technology or architectural evaluation; training for staff; and more.

As the NSF Cybersecurity Center of Excellence, Trusted CI’s mission is to provide the NSF community a coherent understanding of cybersecurity’s role in producing trustworthy science and the information and know-how required to achieve and maintain effective cybersecurity programs.

GPN Equipment Upgrade

July 18, 2019

On July 16, Shannon Spurling, Jodi Gilpin, and Brad Dodds from MOREnet installed the new QFX10002-72Q in the Kansas City POP.