Exploring Efficiencies in Data Reduction, Analysis, and Distribution in the Exascale Era

<!--HTML--><p align="justify"> <a href="http://www.ddn.com/en/" target="_blank">DataDirect Networks (DDN)</a> is world leader in massively scalable storage. Fellinger will discuss how the growth of data sets beyond the petabyte boundary presents new challenges to researchers in delivering and extracting usable information. He will also explore a Big Data processing architecture that overcomes constraints in network bandwidth and service layers in large-scale data distribution to enable researchers to request raw data through a filter or an analysis library. This technology, operating directly within the storage device, enables the reduction of service latency and process cycles to provide a more efficient feedback loop in iterative scientific experiments to increase data-intensive processing efficiency by up to 400%.</p> <h4> About the speaker</h4> <p align="justify"> Dave Fellinger has over three decades of engineering experience, including film systems, ASIC design and development, GaAs semiconductor manufacture, RAID and storage systems, and video processing devices, and has architected high-performance storage systems for the world&rsquo;s fastest supercomputers. He attended Carnegie-Mellon University and holds patents in optics, motion control, video processing, and pattern recognition.</p> <p align="justify"> In his role as chief scientist of DDN, Fellinger guides the company&rsquo;s product and market strategy to resolve key customer challenges at acute levels of scalability and has been instrumental in establishing DDN as a leader of the Big Data era. As testament to this leadership, DDN technology now delivers more bandwidth to the world&rsquo;s TOP500&reg; fastest computers than all other vendors combined.</p>