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High
Performance
Computing
and Big Data:
1
The coming wave.
In science and engineering, in order to
compete, you must compute
Today, the toughest challenges, and greatest
opportunities, require computation on a massive scale.
2
What used to take days,
now takes seconds.
Medical
Imaging
Energy
Exploration Financial
Analysis
Digital
Content
Creation
CAD
ManufacturingSecurity
Scientific
Research
Climate
Weather
Modeling
New
opportunities
for insight Big data brings new levels of insight that
enhance the value of HPC applications
3
Better medical
therapies
Fastest route
through traffic
Urban planning
and simulation
Graphed
relationships
Big data
oilfield
Driving
discovery
and
innovation
4
Data retrieval moves from
static search to a pipeline
of intelligent agents
Data analytics comes
from cluster computation
of real-time data
Data aggregation
moves from
batch to real-
time orientation
Data
visualization &
simulations are
created from
computational
models and
massive data
input
Powerful infrastructure for
powerful data
5
Intel® Xeon PhiTM
coprocessor is designed
for highly parallel applications, and it’s ideal
for processing big data in scientific and
engineering environments:
• 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
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
66
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 http://www.intel.com/performance
1 Gb
10 Gb
10x
Big solutions delivered
at high speed
10 Gigabit Ethernet (GbE) networks
allow you to quickly import large data
sets for processing in multiple locations.
7
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
We’ll help you
get started
CALL TO ACTION!
Download the Getting Started with Hadoop Planning
Guide and discover valuable information on how to
make big data work for you.
http://www.intel.com/content/www/us/en/big-data/getting-
started-with-hadoop-planning-guide.html
"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
9
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.

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High Performance Computing and Big Data: The coming wave

  • 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. 2 What used to take days, now takes seconds. Medical Imaging Energy Exploration Financial Analysis Digital Content Creation CAD ManufacturingSecurity Scientific Research Climate Weather Modeling
  • 3. New opportunities for insight Big data brings new levels of insight that enhance the value of HPC applications 3 Better medical therapies Fastest route through traffic Urban planning and simulation Graphed relationships Big data oilfield
  • 4. Driving discovery and innovation 4 Data retrieval moves from static search to a pipeline of intelligent agents Data analytics comes from cluster computation of real-time data Data aggregation moves from batch to real- time orientation Data visualization & simulations are created from computational models and massive data input
  • 5. Powerful infrastructure for powerful data 5 Intel® Xeon PhiTM coprocessor is designed for highly parallel applications, and it’s ideal for processing big data in scientific and engineering environments: • 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 66 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 http://www.intel.com/performance
  • 7. 1 Gb 10 Gb 10x Big solutions delivered at high speed 10 Gigabit Ethernet (GbE) networks allow you to quickly import large data sets for processing in multiple locations. 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 CALL TO ACTION! Download the Getting Started with Hadoop Planning Guide and discover valuable information on how to make big data work for you. http://www.intel.com/content/www/us/en/big-data/getting- started-with-hadoop-planning-guide.html "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 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.