The conference will focus on the following topics: Progress of Exascale in the European Union, high-performance interconnects, Accelerators and Parallel I/O, communication libraries (MPI, SHMEM, PGAS), GPU computing (CUDA, OpenCL) Big Data, advanced topics / technologies / development including server and storage systems, and hands-on clustering, network, troubleshooting, tuning, optimizations. The conference is open to the public and will bring together system managers, researchers, developers, computational scientists and industry affiliates.
Having been to this event several times, I can tell you that Lugano is one of the most beautiful towns in the world. It’s a solid three-day workshop, and this year they’ll be treating attendees to a boat trip on lake Lugano with an on-board apero and dinner.
In this video, Amr Awadallah from Cloudera presents: Cloudera, Impala, and EDW Optimization.
Everyone knows that data volumes are growing exponentially. What’s not so clear is how to unlock the value it holds. The answer is Cloudera, the Platform for Big Data. With a single, integrated enterprise-class solution, Cloudera lets you efficiently query all of your data – structured and unstructured – and have a view beyond data sitting in relational databases. Equally important, Cloudera’s platform runs in real time, so you can work at the speed of thought as you build rapidly on deep insights, create competitive advantage and become truly data-driven.
In this video, Al Wegener from Samplify Systems presents: Numerical Encoding Shatters Exascale’s Memory Wall.
If you develop applications for your own internal research or development purposes, then by linking APAX into your software, you can reduce your time to results when deploying on supercomputing sites or on the Cloud. First, determine what encoding rates you can achieve with APAX by uploading your data to the APAX Profiler. The APAX Profiler will send you a report and a link to your decoded data file. You can download the data file and run it through your computing application to verify your results have not changed.
In this video, Burak Yenier discusses the UberCloud HPC Experiment, a project that aims to identify, test, and document potential solutions to the known roadblocks in high performance computing as a service.
In this video, John Fragalla from Xyratex presents: Architecting High Availability Lustre Storage with ClusterStor 6000.
ClusterStor 6000 is designed to support installations with linear performance scalability in less space, scaling from up to 6 gigabytes per second to installations providing 1 terabyte per second file system throughput, as well as linear data storage capacity from terabytes up to tens of petabytes.
In this video, Brent Gorda from Intel’s High Performance Data Division presents: The Future of Network-Based Storage. Gorda joined Intel in July 2012 as part of Intel’s acquisition of Whamcloud. Since then, Gorda’s team has continued to work on Lustre as well as conduct R&D on Darpa’s Fast Forward Storage & IO program.
In this video, Ankita Kejriwal from Stanford presents: The RAMCloud Project.
The RAMCloud project is creating a new class of storage, based entirely in DRAM, that is 2-3 orders of magnitude faster than existing storage systems. If successful, it will enable new applications that manipulate large-scale datasets much more intensively than has ever been possible before. In addition, we think RAMCloud, or something like it, will become the primary storage system for cloud computing environments such as Amazon’s AWS and Microsoft’s Azure.