High Performance Computing and Big Data: The coming wave.

Transcription

1 High Performance Computing and Big Data: The coming wave. 1

2 In science and engineering, in order to compete, you must compute Today, the toughest challenges, and greatest opportunities, require computation on a massive scale. What used to take days, now takes seconds. Climate Weather Modeling Medical Imaging Energy Exploration Financial Analysis Scientific Research Digital Content Creation 2 Security CAD Manufacturing

3 New opportunities for insight Big data brings new levels of insight that enhance the value of HPC applications Better medical therapies Fastest route through traffic Urban planning and simulation Graphed relationships Big data oilfield 3

4 Driving discovery and innovation Data retrieval moves from static search to a pipeline of intelligent agents Data aggregation moves from batch to realtime orientation Data visualization & simulations are created from computational models and massive data input Data analytics comes from cluster computation of real-time data 4

5 Powerful infrastructure for powerful data Intel Xeon Phi TM coprocessor is designed for highly parallel applications, and it s ideal for processing big data in scientific and engineering environments: 5 Dynamic construction of data streams Parallel processing of complex models Programmability on x86 platform Provides maximum flexibility when used with Intel Xeon processor-based systems and clusters

6 Big data needs big storage Intel Solid-State Drive storage is efficient and cost-effective enough to capture and store terabytes, if not petabytes, of data. Higher performance, lower latency than hard disk drives Moving quickly down the cost curve Extended endurance and reliability 6 Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to

7 Big solutions delivered at high speed 10 Gigabit Ethernet (GbE) networks allow you to quickly import large data sets for processing in multiple locations. 1 Gb 10x 10 Gb 7

8 Rapid data processing accelerates results Intel provides the HPC performance, low latency storage, and high throughput networking your scientific and engineering applications need to take advantage of big data and provide new levels of insight and opportunity. 8

9 We ll help you get started "IT managers are facing the challenge of high performance of big data...not just storing it, but accessing it in very fast ways." Mike Gualtieri Principal Analyst, Forrester Research CALL TO ACTION! Download the Getting Started with Big Data Planning Guide and discover valuable information on how to make big data work for you. youeverwantedetoknowaboutbigdata.html 9

10 Information in this document is provided in connection with Intel products. No license, express or implied, by estoppel or otherwise, to any intellectual property rights is granted by this document. Except as provided in Intel s Terms and Conditions of Sale for such products, Intel assumes no liability whatsoever, and Intel disclaims any express or implied warranty, relating to sale and/or use of Intel products including liability or warranties relating to fitness for a particular purpose, merchantability, or infringement of any patent, copyright or other intellectual property right. Intel products are not intended for use in medical, life saving, or life sustaining applications. Intel may make changes to specifications and product descriptions at any time, without notice. Copyright 2013 Intel Corporation. All rights reserved. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks of Intel Corporation in the U.S. and other countries.