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.
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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
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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.
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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.
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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
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