July 10, 2013
July 10 -- The current era of extreme data culled from a range of diverse data sources, ranging from extreme scale simulations to instruments, experiments, and pervasive sensors and systems, has the potential for revolutionizing science, engineering, and society in general. However, the expanding distribution and dynamism of the data, increasing data heterogeneity and uncertainty about its quality and availability, as well as the growing costs (time and energy) associated with transporting and processing this data, requires new paradigms and practices in data management and analytics, as well as supporting software stacks before this potential can be realized.
The goal of this special issue of CiSE is to explore the fundamental challenges — as well as the state of the art in solutions — of extreme data. From innovative algorithmic formulations to implementation frameworks and software stacks, what can accelerate insights from extreme data? End-to-end application workflows and relevant experiences with real applications are of particular interest.
Published by the IEEE Computer Society and the American Institute of Physics, CiSE magazine features the latest computational science and engineering research in an accessible format, along with departments covering news and analysis, CSE in education, and emerging technologies.
We strongly encourage submissions that include multimedia, data, and community content, which will be featured on the IEEE Computer Society website along with the accepted papers.
For more information please see http://www.computer.org/portal/web/computingnow/cscfp4
Contact guest editors Manish Parashar, Rutgers University (parashar at rutgers.edu) or George K. Thiruvathukal, Loyola University Chicago (gkt at cs.luc.edu).
Authors are asked to submit high-quality original work that has neither appeared in nor is under consideration by other journals. All submissions will be peer-reviewed following standard journal practices. Manuscripts based on previously published conference papers must be extended substantially to include at least 30 percent new material. Manuscripts should be written in the active voice, should be no longer than 7,200 words (counting each standard figure and table as 250 words), and should follow the style and presentation guidelines of CiSE (see www.computer.org/cise/author for details).
Please submit your article using the online manuscript submission service at https://mc.manuscriptcentral.com/cs-ieee. When uploading your article, select the appropriate special-issue title under the category "Manuscript Type." Also include complete contact information for all authors. If you have any questions about submitting your article, contact the peer review coordinator at firstname.lastname@example.org.
Source: IEEE Computer Society
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?