ibm power for life sciences

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1 © IBM Corporation, 2016 Spark Internal Benchmarks Price Performance Power S812LC HP DL380 Gen9 (Haswell) Configuration 10 cores / 80 threads, POWER8; 2.9GHz, 256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 24 cores / 48 threads, E5-2690 v3; 2.6GHz , 256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 Web Price ($US) $12,999 $16,004 Relative Results 1,940 1,000 All results are based on IBM Internal Testing of 10 SparkBench benchmarks consisting of SQL RDD Relation, Twitter, Pageview Streaming, PageRank, Logistic Regression, SVD++, TriangleCount, SVM, MF, SQL Hive IBM Power System S812LC 10 cores / 80 threads, 1 X POWER8; 2.9GHz, 256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 Intel Xeon HP DL380; 24 cores / 48 threads, 2 X E5-2690 v3; 2.6GHz , 256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8 * Pricing is based on web prices for S812LC (http://www-03.ibm.com/systems/power/hardware/s812lc/buy.html ) and HP DL380 ( http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45441&oi=E9CED&BEID=19701&SBLID = ) 2 x 1TB SATA 7.2K rpm LFF HDD, 10 Gb two port, 2 x 16gbps FCA Price Performance $6.70 (2.3X Better) $16.00

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1 © IBM Corporation, 2016

Spark Internal Benchmarks Price Performance

Power S812LC HP DL380 Gen9 (Haswell)

Configuration

10 cores / 80 threads,POWER8; 2.9GHz,

256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8

24 cores / 48 threads, E5-2690 v3; 2.6GHz ,

256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8

Web Price ($US) $12,999 $16,004

Relative Results 1,940 1,000

• All results are based on IBM Internal Testing of 10 SparkBench benchmarks consisting of SQL RDD Relation, Twitter, Pageview Streaming, PageRank, Logistic Regression, SVD++, TriangleCount, SVM, MF, SQL Hive• IBM Power System S812LC 10 cores / 80 threads, 1 X POWER8; 2.9GHz, 256 GB memory, Ubuntu 15.04, Spark 1.4, OpenJDK 1.8• Intel Xeon HP DL380; 24 cores / 48 threads, 2 X E5-2690 v3; 2.6GHz , 256 GB memory. Ubuntu 15.04, Spark 1.4, OpenJDK 1.8• * Pricing is based on web prices for S812LC (http://www-03.ibm.com/systems/power/hardware/s812lc/buy.html ) and HP DL380 (

http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45441&oi=E9CED&BEID=19701&SBLID = )• 2 x 1TB SATA 7.2K rpm LFF HDD, 10 Gb two port, 2 x 16gbps FCA

Price Performance $6.70 (2.3X Better) $16.00

2 © IBM Corporation, 2016

OpenPOWER drives industry innovation

The OpenPOWER Foundation creates an open ecosystem, using the POWER Architecture to share expertise, investment, and

server-class intellectual property to serve the evolving needs of customers.

Performance of leading POWER architecture Broadens the capability and performance of the POWER platform

Collaboration across multiple thought leadersCollaborative development model drives collective thought leadership, simultaneously across multiple disciplines

Open DevelopmentOpenPOWER enables greater innovation through both open software and open hardware

3 © IBM Corporation, 2016

OpenPOWER Open Interfaces

OpenPOWER open interfaces enable an unbeatable innovation pace

CAPI

NVLink40 GB/s

CAPI16 GB/s

POWER8Memory Interface Control

ServerClass

Memory

DMI

IBM andPartner Devices

GPU

4 © IBM Corporation, 2016

Workload Accelerators and Power

Field ProgrammableGate Array

GraphicsProcessingUnit

DescriptionReconfigurable hardware

Task customized, low latency, low power

1000s of simple cores

High bandwidth, floating point, and parallelism

ExampleUse Cases

Compression, encryption, high speed streaming, search, Monte Carlo simulations

Deep neural networks, speech recognition, chemistry, simulations, JAVA, Hadoop, graphics

Power ChipIntegration

Coherent Accelerator Processor Interface (CAPI) NVIDIA NVLink

*All statements regarding IBM's future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

5 © IBM Corporation, 2016

GPUs are like minions

The individual cores in a GPU are not very powerful

https://devblogs.nvidia.com/parallelforall/inside-pascal/

But gather loads together, and remarkable things can happen!

6 © IBM Corporation, 2016

Power Systems and NVIDIA GPU Roadmap

NVIDIA GPU NVIDIA GPU with NVLink

2015

Power Chip Power Chipwith NVLink

2016

80 GB/sPeak*

PCIe x1632 GB/s

7 © IBM Corporation, 2016

PowerAI: AI Platform

CAFFE NVCaffeTorch IBMCaffe

TensorFlow

OpenBLAS

TheanoDeep

Learning Frameworks & Building

Blocks

Accelerated Servers and

Infrastructure for Scaling

Spectrum Scale:High-Speed Parallel

File System

Scale toCloud

Cluster of NVLink Servers

Coming Soon

Bazel

DIGITS NCCL

Distributed Frameworks

Chainer

8 © IBM Corporation, 2016

FPGAs are like Wolverine…

• Really good at doing one thing

• Only does one thing, just really fast

• Unlike Wolverine, can be reprogrammed to change what it does–This takes a particular set of skills,

which many of the OpenPOWER Foundation member have

• Can work alongside more general computational elements, and maybe other FPGAs–Like the X-Men!

9 © IBM Corporation, 2016

Coherent Accelerator Processor Interface

Non-CAPI

Off-ChipAccelerator

Core

Memory

PC

I

CAPI

FPGAw/CAPI

AcceleratorP8Core

Memory

PC

I

10 © IBM Corporation, 2016

Edico Genome

https://www-304.ibm.com/events/tools/interconnect/2016ems/REST/presentations/PDF/InterConnect2016_7052.pdf

11 © IBM Corporation, 2016

IBM OpenPOWER Server with DRAGEN

https://www-304.ibm.com/events/tools/interconnect/2016ems/REST/presentations/PDF/InterConnect2016_7052.pdf