October 16, 2013
Oct. 16 -- As part of the Blue Water project, up to 1 percent (or 1.8 million node-hours) per year of the system's computational capacity is available for educational uses, including semester-long courses, workshops, and institutes.
These Education Allocations are intended to broaden the impact of Blue Waters and contribute to the development of a national workforce with expertise in petascale computing. The allocation is to enable projects that advance petascale computational and data analysis knowledge and skills, foster projects that are visionary and/or are national in scope, integrate research and education activities among national science and engineering communities, and proactively engage under-represented groups and individuals in science, engineering and scholarly research.
Some possible educational topics include:
The Blue Waters Education Allocations Committee anticipates that up to 20 allocations will be supported at a time. Projects may be for at most one year but will typically cover a one- to two-week period or a semester.
For complete details and to submit a proposal, visit: https://bluewaters.ncsa.illinois.edu/education-allocations.
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?