HPC䛸Analytics䛻ྥ䛡䛯䜽䝺䜲〇ရ䛾䛤⤂௓ᱵ⏣ᏹ᫂, Cray Japan Inc.

PC䜽䝷䝇䝍䝅䞁䝫䝆䜴䝮, 12/15/2016

12/15/2016

Copyright 2016 Cray Inc.

1Cray Systems for Deep Learning
CS-Storm: Dense GPU Cluster Options● 8 x M40 or P100 NVIDIA● 512 GB – 1 TB of RAM, up to 6 SSDs
● M40 has 1.2 – 1.8x workload improvement● P100 Memory Bandwidth 3x of M40● Optimizations in CUDA not available with K40 or K80● Building Block for Dense Deep Learning Compute Solution

XC Scalable Deep Learning Supercomputer● Worlds most scalable supercomputer for deep neural network training● XC50 Features the Telsa P100 GPU accelerator for PCIe

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Copyright 2016 Cray Inc.

2

Cray XC
Series

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3

Copyright 2016 Cray Inc.

The XC Series For Deep Learning
Cray Programming Environment

Cray
Aries™

NVIDIA® Tesla® P100 GPU
Accelerator Compute BladeHigh Performance Parallel Storage

Extreme single
precision performance,and large GPU-memory

High Performance Packet
Switch Network

Scalable network able
to handle neuralnetwork node-to-nodecommunication

NVIDIA® Tesla® K40 GPU
Accelerator Compute Blade

Combine large on-node
memory and mini-batchprocessing to midperformance GPU

For large-scale Deep Learning workflows where Data Parallelism is the preferred mode, the Cray XC Series offers exceptional deployment
flexibility

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4

Cray CS-Storm: Accelerated Computing
Accelerated

Over 800 peak GPU teraflops in one 48U rack leveraging
the power of NVIDIA® Tesla® GPU accelerators

Integrated

Integrated hardware, software, packaging and cooling forreduced TCO and production reliability

ReliableSupercomputer reliability, redundancy andserviceability suitable for large systems, architected, built,
delivered and serviced by Cray

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5

Copyright 2016 Cray Inc.

CS-Storm – Dense Accelerated ComputeSix local SSDs

Motherboard

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x16

Accelerator

PCIe
SwitchAccelerator

PCIeSwitch

x16

PCIeSwitch

x8

I/O

Networkx16

PCIe (x24)

Accelerator

PCIe (x16)

Accelerator

PCIe
SwitchAccelerator

48U rack• 22 nodes• 176 GPUs
• 850+ TF*

Network

16 DDR4
DIMM slots

PCIe (x16)
x16

I/O

Accelerator

x8

Dual Intel Xeon®
host processors

PCIe
CPU 1

Accelerator

PCIe (x24)

UPI
CPU 0

Accelerator

PCIe
® ®
® Tesla8 NVIDIA
4+4
NVIDIATesla
K40, K80, M40, andP100 GPUs

Dense 2U chassis –24” rack / air-cooled

Copyright 2016 Cray Inc.

*176 Tesla P100 + 44 Intel Xeon processors

6

Cray Deep Learning Accelerators(Cognitive Toolkit)

Validated Toolkits for Current Customers● Makes it easier & faster to move existing models to Cray platforms● CS-Storm
Three forFocus
Areas● Downloadable Docker images & configuration guide
Deep
Learning packages● All of the above• Computation• Storage● XC Series• Analytics● Makefiles and build documentation for Deep Learning packages● MS Cognitive Toolkit (CNTK) and TensorFlow

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Copyright 2016 Cray Inc.

7

Urika-GXAgilePlatformg Analytics
y?

SERIOUSAGILITY

HIGH
HFREQUENCY?
INSIGHTSPERVASIVEPERVASI
SPEED??

8Copyright 2016 Cray Inc.

12/15/2016…that’ss…thatenterpriseenterprissesseeaccessible

SERIOUSAGILITY
Example Software Layers

Dynamicallyrepurpose
resources andvarious analytics
tools like these

Processing
Layer

*

*䘨

* Validated now, additional support to follow
䘨 Not included in Urika-GX software stack
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Data Services
Layer

*䘨

Copyright 2016 Cray Inc.

Infrastructure
Layer

9PERVASIVEPERVASI
SPEED

Supercomputing

Experience

Enables large-scale memory-intensiveworkloads

42U single rack

Node-local SSDs for deep local memory
hierarchy

Cray Aries network
16/32/48 2-socket Intel® Xeon®
E-5 2600 v4 family processor nodes

Up andRunning inDays!

Cray Aries fabric with high I/O throughput
and low latency

Up to 1,728 cores per system
Options to attach external POSIX-compliant
global storage:

Up to 22 TB DRAM

Pre-integrated
and validated
software +hardware• Cray ® Sonexion® storage (Lustre ® )• Other existing file systems (NFS, GPFS)

35-176 TB PCIe SSDs on-nodes
192 TB HDD local storage

Deep local memory hierarchy
accelerates performance

10

Copyright
Copyri
Copyright
yright 20
2016
16 CraCrayy IInc.
nc.

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SERIOUSAGILITYPERVASIVEPERVASIV
SPEED

§§
§

HIGH FREQUENCYFREQINSIGHTS

System is tuned for demanding analytics
Dynamic workflows for comparison andadaptation
Cray Graph Engine for fast, complex,
pattern matching§§

In-memory semantic graph database based on
W3C standards such as RDF & SPARQL
Tuned for serious speed on noisy data withcomplex relationships

Cray Graph Engine Outperforms
Average Test Speedup of 280XLUBM25K with >3 Billion Triples

Spark GraphX vs. Cray Graph Engine
Results in Seconds on Urika-GX system
480> 200x
Faster420360300> 400xFaster240

3 X Faster180

than prior Urika
generationon complex queries

12060
0
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2Copyright 2016 Cray Inc.

345678

910

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The Cray Portfolio

The industry leader withadded
add support for updatedIntIntel®
Xeon® and Xeon Phi
processors

Agile Analytics platform
fusing supercomputing with
an open, enterprisestandard framework

Cray XC50™

Sonexion® 3000

Cray CS™ Series

Cray XC40™

Urika®-GXEnhanced power for HPC
and Machine Learning.
Workloads with NVIDIA®
Tesla® GPU accelerators
and Intel® Xeon Phi™
processors

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Integrated scale-out
Lustre® storage system
30% more performance (upto 100GB/s)
100in the sameamountof rack space asamo
the competition

Cray’s fastest
supercomputing platform
with support for NVIDIA
Tesla P100 GPU
Accelerators .

Copyright 2016 Cray Inc.

12Legal Disclaimer
Information in this document is provided in connection with Cray Inc. products. No license, express or implied, to any intellectual property rights is
granted by this document.

Cray Inc. may make changes to specifications and product descriptions at any time, without notice.
All products, dates and figures specified are preliminary based on current expectations, and are subject to change without notice.
Cray hardware and software products may contain design defects or errors known as errata, which may cause the product to deviate from publishedspecifications. Current characterized errata are available on request.
Cray uses codenames internally to identify products that are in development and not yet publically announced for release. Customers and other thirdparties are not authorized by Cray Inc. to use codenames in advertising, promotion or marketing and any use of Cray Inc. internal codenames is at thesole risk of the user.

Performance tests and ratings are measured using specific systems and/or components and reflect the approximate performance of Cray Inc.
products as measured by those tests. Any difference in system hardware or software design or configuration may affect actual performance.
The following are trademarks of Cray Inc. and are registered in the United States and other countries: CRAY and design, SONEXION, andURIKA. The following are trademarks of Cray Inc.: ACE, APPRENTICE2, CHAPEL, CLUSTER CONNECT, CRAYPAT, CRAYPORT, ECOPHLEX,LIBSCI, NODEKARE, THREADSTORM. The following system family marks, and associated model number marks, are trademarks of Cray Inc.: CS,CX, XC, XE, XK, XMT, and XT. The registered trademark LINUX is used pursuant to a sublicense from LMI, the exclusive licensee of Linus Torvalds,
owner of the mark on a worldwide basis. Other trademarks used in this document are the property of their respective owners.

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