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SC15
AUSTIN,TEXAS
INNOVATION ACROSS THE STACK DRIVES PERFORMANCE.
A recap of Day Two at SC15
Day Two at a glance,
brought to you by
Day Two at SC15 covered several themes:
Removing the networking bottleneck with
accelerated interconnects.
Laying the foundations for the move to
exascale computing.
The growing role of GPUs and FPGAs in
accelerated computing.
1
2
3
OpenPOWER Supercomputing Recap Day Two: Innovating Across the Stack
Such acceleration on a massive scale can
help solve many of today’s high-performance
computing problems like real-time
performance requirements, unstructured
data and extremely large data sets.
At SC15, OpenPOWER Foundation members
demonstrated how accelerators can
solve networking bottlenecks caused by
unprecedented volumes of unstructured data.
OpenPOWER Supercomputing Recap Day Two: Innovating Across the Stack
Yes it is, with InfiniBand from Mellanox.
• Mature and proven technology.
• Scales effortlessly in the cloud.
• Has the support of the InfiniBand Trade Alliance.
InfiniBand Interconnect advantages
• Proven and scalable for high-performance end-to-end connectivity.
• Flexible, supporting POWER, GPUs, and FPGAs.
• Standards-based, supported by large ecosystem.
• Offloading architecture, like RDMA and application acceleration engines.
• Converged I/O: compute, storage, and management on a single fabric.
• Backward and future compatible.
Where does this lead us?
The U.S. Department
of Energy is charting
a path to exascale
with accelerated
interconnects and
GPUs.
U.S. Dept. of Energy FLOP targets
But to get there, we need to start seeing our
systems in new ways.
Take a broad view of the stack. If it’s integrated top-
to-bottom, you can customize the system to fit your
needs and get better performance than relying
solely on the chip.
OpenPOWER Supercomputing Recap Day Two: Innovating Across the Stack
And accelerators help us achieve that
specialization, with reprogrammable
FPGAs customized to your needs and
GPUs that slash the time it takes to
glean insights from data.
80x
up to
faster
for real-world
graph analytics.
How much faster is GPU acceleration?
OpenPOWER Supercomputing Recap Day Two: Innovating Across the Stack
By embracing innovations driven
by the OpenPOWER Foundation’s
ecosystem, you can take advantage
of the full spectrum of acceleration
technology. Because for maximum
effect, accelerators must be
implemented across the stack.
OpenPOWER Supercomputing Recap Day Two: Innovating Across the Stack
Thanks!To keep up with the latest on Open Innovation from #SC15,
follow @OpenPOWERorg for real-time updates and tomorrow’s recap.

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OpenPOWER Supercomputing Recap Day Two: Innovating Across the Stack

  • 1. SC15 AUSTIN,TEXAS INNOVATION ACROSS THE STACK DRIVES PERFORMANCE. A recap of Day Two at SC15
  • 2. Day Two at a glance, brought to you by Day Two at SC15 covered several themes: Removing the networking bottleneck with accelerated interconnects. Laying the foundations for the move to exascale computing. The growing role of GPUs and FPGAs in accelerated computing. 1 2 3
  • 4. Such acceleration on a massive scale can help solve many of today’s high-performance computing problems like real-time performance requirements, unstructured data and extremely large data sets.
  • 5. At SC15, OpenPOWER Foundation members demonstrated how accelerators can solve networking bottlenecks caused by unprecedented volumes of unstructured data.
  • 7. Yes it is, with InfiniBand from Mellanox. • Mature and proven technology. • Scales effortlessly in the cloud. • Has the support of the InfiniBand Trade Alliance.
  • 8. InfiniBand Interconnect advantages • Proven and scalable for high-performance end-to-end connectivity. • Flexible, supporting POWER, GPUs, and FPGAs. • Standards-based, supported by large ecosystem. • Offloading architecture, like RDMA and application acceleration engines. • Converged I/O: compute, storage, and management on a single fabric. • Backward and future compatible.
  • 9. Where does this lead us?
  • 10. The U.S. Department of Energy is charting a path to exascale with accelerated interconnects and GPUs.
  • 11. U.S. Dept. of Energy FLOP targets
  • 12. But to get there, we need to start seeing our systems in new ways. Take a broad view of the stack. If it’s integrated top- to-bottom, you can customize the system to fit your needs and get better performance than relying solely on the chip.
  • 14. And accelerators help us achieve that specialization, with reprogrammable FPGAs customized to your needs and GPUs that slash the time it takes to glean insights from data.
  • 15. 80x up to faster for real-world graph analytics. How much faster is GPU acceleration?
  • 17. By embracing innovations driven by the OpenPOWER Foundation’s ecosystem, you can take advantage of the full spectrum of acceleration technology. Because for maximum effect, accelerators must be implemented across the stack.
  • 19. Thanks!To keep up with the latest on Open Innovation from #SC15, follow @OpenPOWERorg for real-time updates and tomorrow’s recap.