In this presentation, Derek Granath from Extreme Networks presents: Accelerating HPC with Ethernet. "High Performance Computing (HPC) requires high-speed, high bandwidth, low latency network infrastructures. Converged Ethernet networks are now displacing dedicated compute, storage and data networks of the past in today's HPC deployments. Top industry institutions; petroleum, human genome, finance and universities have partnered with Extreme Networks to solve their toughest HPC networking challenges." Learn more: http://extremenetworks.com Watch the video presentation: http://insidehpc.com/2013/12/13/slidecast-accelerating-hpc-ethernet/

1. Accelerating High Performance
Computing with Ethernet
Derek Granath
Senior Director, Product Line Management
December 10, 2013
© 2013 Extreme Networks Inc. All rights reserved.

2. Agenda
Transforming Data into Information
HPC Interconnect Challenges and Alternatives
High Speed, Low Latency Ethernet for HPC
Architecture Examples
© 2013 Extreme Networks Inc. All rights reserved.

3. How Much Data?
The World Generates
2.5 Quintillion bytes each day…
or 57.5 Billion 32Gb iPad’s worth
each day
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© 2013 Extreme Networks Inc. All rights reserved.

4. Growth of Data
90% of the data in the world
was created in the past
TWO YEARS
Source: IBM, 2012
Image: NCSA’s Blue Waters sustained petascale supercomputing facility
© 2013 Extreme Networks Inc. All rights reserved.

5. Data Analytics Challenge
Big Data = Transactions + Interactions + Observations
BIG DATA
Sensors/RFID/Devices
Observations
Mobile Web
Petabytes
User Generated Content
Sentiment
Social Interactions & Feeds
User Click Stream
Terabytes
Spatial & GPS Coordinates
WEB
Web Logs
A/B Testing
External Demographics
Dynamic Pricing
Offer History
Interactions
Business Data Feeds
CRM
Affiliate Networks
HD Video, Audio, Images
Segmentation
Transactions
Offer Details
Search Marketing
Purchase Details
Customer Touches
Behavioral Targeting
Purchase Record
Support Contacts
Dynamic Funnels
Gigabytes
ERP
Megabytes
Speech to Text
Product/Service Log
Payment Record
SMS/MMS
Increasing Data Variety and Complexity
Source: Contents of above graphic created in partnership with Teradata, Inc. http://tinyurl.com/mt4ltah
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© 2013 Extreme Networks Inc. All rights reserved.

6. Structured and Unstructured Data
Example
Structured Data
• Fits neatly into traditional
database schemas
• Email metadata
• Call records
• Can be easily
• Stored
• Queried
• Analyzed
Unstructured Data
• Everything else…
• May contain patterns
• Also it might not!
• Video
• Audio
• Photos
• This Presentation!
• Doesn’t fit in fixed length fields
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7. HPC – What Can You Do with it?
Utilities
Financial Services
 Weather impact analysis on
power generation
 Transmission monitoring
 Smart grid management
 Fraud detection
 Risk management
 High Frequency Trading
 360° View of the Customer
Transportation
 Weather and traffic
impact on logistics and
fuel consumption
 Traffic congestion
IT
 System log analysis
 Cybersecurity
Retail
Health & Life Sciences
 360° View of the Customer
 Click-stream analysis
 Real-time promotions
 DNA sequencing
 Epidemic early warning
 ICU monitoring
 Remote healthcare monitoring
Telecommunications
 CDR processing
 Churn prediction
 Geomapping / marketing
 Network monitoring
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Law Enforcement
 Real-time multimodal surveillance
 Situational awareness and threat detection
 Cyber security detection
© 2013 Extreme Networks Inc. All rights reserved.

8. HPC Architectural Evolution
– Clusters Dominate
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© 2013 Extreme Networks Inc. All rights reserved.

9. Moore’s Law For HPC
Compute
Doubles Every
1.5 Years
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Data
Doubles Every
1.5 Years
© 2013 Extreme Networks Inc. All rights reserved.
I/O
Doubles Every
4 Years

10. Interconnect Challenges
Massive Scalability
• Flexibility to grow big cheaply
• Deploy and re-deploy assets
Manageability
• More servers, more storage, more applications
Eased Convergence
• Proven, certified interoperability
• Standards-based technology
Efficiency
• Energy
• Operational
Availability
• Resilient architectures
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© 2013 Extreme Networks Inc. All rights reserved.

11. Network Considerations for Big Data
Processing Time
Barrier Synchronized Computation
Traffic Burstiness
Buffering & Burst Handling
Data Volume
Large long-lived flows
Das, Anupam et. al, "Transparent and Flexible Network Management for Big Data Processing in the Cloud."
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© 2013 Extreme Networks Inc. All rights reserved.

12. Top 3 Requirements for HPC/SC
Interconnect Fabric
Next-Generation HPC clusters demand:
• Non-blocking performance for any-to-any connectivity
Throughput
o Switch fabric performance
o Non-oversubscribed, wire-speed architecture
o Cut-through support
• Ample bandwidth for multiple applications and jobs
Bandwidth
o Higher speeds and feeds: 10/40/100 Gigabit Ethernet
o Higher density per slot
o Link aggregation (LAG) support
• Least time taken to complete a job
Latency
o Lowest port-to-port latency in the I/O fabric
o Jumbo-frame support
o Short-reach optics and cables support
© 2013 Extreme Networks Inc. All rights reserved.

13. I/O Technology to Meet the Future
Demand
To bridge the gap, you need an I/O technology, that is:
Scalable
• Bandwidth aggregation to multiply I/O
• Seamless migration to higher speeds and feeds
Flexible
• Short, medium, long range connectivity options
• I/O diversity and mix-n-match
Economical
• Minimal cost increase with speed migrations
• Reusable in terms of infrastructure and training
Reliable
• Is resilient and time tested
• Provides required level of service up time
© 2013 Extreme Networks Inc. All rights reserved.

14. HPC I/O Technology Alternatives
Infiniband
Fiber Channel
Scalability
Bandwidth
Latency
Flexibility
Reliability
Economics
© 2013 Extreme Networks Inc. All rights reserved.
Ethernet

15. Ethernet and InfiniBand Dominate
Note: Gigabit Ethernet Category
includes 10GbE
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© 2013 Extreme Networks Inc. All rights reserved.

16. Ethernet Penetration in Top 500
212 (42.4%) of world’s top 500 fastest supercomputers use Ethernet
Source: Top500.org, November 2013
© 2013 Extreme Networks Inc. All rights reserved.

17. RoCE – RDMA over Converged Ethernet
• RoCE is a link layer protocol between two hosts in a broadcast domain
• Allows Remote Direct Memory Access (RDMA) similar to Infiniband to run
over Ethernet
• RoCE replaces IB link layer with Ethernet
• Simpler than iWARP (Internet Wide Area RDMA Protocol)
• RoCE is marginally slower than IB which is sub μs, and latencies can
approach 1-3 μs (micro-seconds), but less expensive and lower power to
deploy than IB
• Ideal for High Performance Cluster Computing environments already
familiar with Ethernet Technology, but need the speed and agility of IB
• No Support for IP (unlike iWARP): Need to use a head-end gateway to
access closed- cluster environments
• Multicast RDMA is defined for RoCE (also unlike iWARP)
• Requires IEEE Data Center Bridging for PFC support on the network, a
RoCE capable Ethernet adapter for hardware acceleration
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© 2013 Extreme Networks Inc. All rights reserved.

18. Sample Architecture
Compute Nodes
Cluster
Clients
Master Nodes
10G
40G
Compute Nodes
Cluster
Front End
Access
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40G
Storage
High Performance
Interconnect Fabric
Back End

19. HPC Design with Centralized Storage
Back End
Front End
High-Performance Fabric
Master
Nodes
Front End
Master
Nodes
10GbE Data Path
Access
Access
40GbE Storage Path
Compute Nodes
Storage Nodes
© 2013 Extreme Networks Inc. All rights reserved.
Compute Nodes

20. Cluster Interconnect Fabric Options
Fully Non-blocking Architecture
•
•
•
•
•
Six 32 x 40G switches
256 10G ports, fully non-blocking
64 10G ports to each server
16 40G uplinks per rack to spine
Less than 1.8 microsecond latency
3:1 Over-subscribed
•
•
•
•
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Ten 32 x 40G switches
768 10G ports to servers
8 40G uplinks per rack to spine
Less than 1.8 microsecond
latency
© 2013 Extreme Networks Inc. All rights reserved.

21. Ethernet evolves –
That’s what it does!
Thank You
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© 2013 Extreme Networks Inc. All rights reserved.