SlideShare a Scribd company logo
SC16
Salt Lake City, Utah
November 15, 2016
OpenPOWER Recap Day One
Welcome everyone to SC16,
one of OpenPOWER’s favorite
events!
Day 1 didn’t disappoint as
former IBM VP Katharine Frase
began the day discussing
cognitive computing and AI.
Katharine Frase
Former VP & CTO
IBM Public Sector
How do we get to systems that
can help us ask the right
questions, not just find the right
answers?
Katharine Frase
Former VP & CTO
IBM Public Sector
We’re teaching humans to speak in a
language that computers understand.
And organizations of all
shapes and sizes are looking
to leverage AI and cognitive
computing.
They’re putting their money
where their mouth is, too!
$17B in AI investments
since 2009
This is where OpenPOWER members
IBM and NVIDIA come in! At SC16
they announced PowerAI, a new deep
learning package optimized for
OpenPOWER: ibm.co/2feltl5
Scott Soutter
Offering Manager
HPC & Deep Learning, IBM
Deep learning isn’t just a computing
opportunity. It has the potential to
revolutionize every organizational
segment, geography, & domain.
24%
FASTER
Deep learning training on
OpenPOWER than x86
with PowerAI!
Already people are turning to
the OpenPOWER ecosystem to
maximize deep learning
potential!
One in five health care dollars in
the U.S. are spent on caring for
patients with diabetes*.
See how Julia Computing, Inc. is
working with OpenPOWER to help
solve this problem with accelerated
deep learning: bit.ly/2fRDYNn
$$$$$
*American Diabetes Association
Elsewhere, OpenPOWER
members discussed their
deployments and use of
OpenPOWER technology.
1. Fat single nodes
2. Unlocking new workloads & programming
3. Ultra-powerful clusters
4. Specialized pre-post processing
The top four deployments of
the IBM S822LC for HPC
OpenPOWER server:
Mateo Valero
Barcelona Supercomputing Center
Having industrial technological partners
willing to collaborate on the project is a
sine qua non. This is why BSC decided
to join the OpenPOWER Foundation.
2.5x The performance of Kinetica
on x86 when running on the
IBM S822LC for HPC!
See more HPC application
performance on OpenPOWER:
http://ibm.co/2fVDCYM
Architectural & performance portability like the POWER8-
NVIDIA NVLink platform is critical to our application
developers & users as we move from existing CPU-only &
GPU-enabled applications on machines like Titan to
DOE’s upcoming major systems including the Summit
system we’re installing at ORNL.
Tjerk Straatsma
Scientific Computing Group Leader
Oak Ridge National Laboratory
Thanks for joining us today!
Stay tuned tomorrow for our
second recap!
Be sure to follow us on
Twitter @OpenPOWERorg
for the latest news.

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OpenPOWER SC16 Recap: Day 1

  • 1. SC16 Salt Lake City, Utah November 15, 2016 OpenPOWER Recap Day One
  • 2. Welcome everyone to SC16, one of OpenPOWER’s favorite events! Day 1 didn’t disappoint as former IBM VP Katharine Frase began the day discussing cognitive computing and AI.
  • 3. Katharine Frase Former VP & CTO IBM Public Sector How do we get to systems that can help us ask the right questions, not just find the right answers?
  • 4. Katharine Frase Former VP & CTO IBM Public Sector We’re teaching humans to speak in a language that computers understand.
  • 5. And organizations of all shapes and sizes are looking to leverage AI and cognitive computing. They’re putting their money where their mouth is, too!
  • 6. $17B in AI investments since 2009
  • 7. This is where OpenPOWER members IBM and NVIDIA come in! At SC16 they announced PowerAI, a new deep learning package optimized for OpenPOWER: ibm.co/2feltl5
  • 8. Scott Soutter Offering Manager HPC & Deep Learning, IBM Deep learning isn’t just a computing opportunity. It has the potential to revolutionize every organizational segment, geography, & domain.
  • 9. 24% FASTER Deep learning training on OpenPOWER than x86 with PowerAI!
  • 10. Already people are turning to the OpenPOWER ecosystem to maximize deep learning potential!
  • 11. One in five health care dollars in the U.S. are spent on caring for patients with diabetes*. See how Julia Computing, Inc. is working with OpenPOWER to help solve this problem with accelerated deep learning: bit.ly/2fRDYNn $$$$$ *American Diabetes Association
  • 12. Elsewhere, OpenPOWER members discussed their deployments and use of OpenPOWER technology.
  • 13. 1. Fat single nodes 2. Unlocking new workloads & programming 3. Ultra-powerful clusters 4. Specialized pre-post processing The top four deployments of the IBM S822LC for HPC OpenPOWER server:
  • 14. Mateo Valero Barcelona Supercomputing Center Having industrial technological partners willing to collaborate on the project is a sine qua non. This is why BSC decided to join the OpenPOWER Foundation.
  • 15. 2.5x The performance of Kinetica on x86 when running on the IBM S822LC for HPC! See more HPC application performance on OpenPOWER: http://ibm.co/2fVDCYM
  • 16. Architectural & performance portability like the POWER8- NVIDIA NVLink platform is critical to our application developers & users as we move from existing CPU-only & GPU-enabled applications on machines like Titan to DOE’s upcoming major systems including the Summit system we’re installing at ORNL. Tjerk Straatsma Scientific Computing Group Leader Oak Ridge National Laboratory
  • 17. Thanks for joining us today! Stay tuned tomorrow for our second recap! Be sure to follow us on Twitter @OpenPOWERorg for the latest news.