IBM Power Systems Introduction

© IBM Corporation, 2016

IBM Power Systems Introduction 16th February 2017

Presented by David SpurwayIBM Power Systems Product ManagerIBM Systems, UK and Ireland

2 © IBM Corporation, 2016

LEGO Bricks

LEGO®is a trademark of the LEGO Group of companies which does not sponsor, authorize or endorse this presentation


Have you ever seen one like this?



They even managed to do this…



Science behind LEGO



LEGO provides the building blocks



Why are Power and LEGO similar?



Manufacturing Cost

Reliability Security

R&DMarket Leadership

Heritage

Why are LEGO and Power Systems Similar?

50+ Years 50+ Years

Constant focus to remain current $1billion

~$4.3B revenue Number 1 (62% Unix)

~18 per million elements rejected 130x more checkers in POWER processors

0.002 mm Tolerance Minimal Advisories & Compliance Reporting

19 Billion elements per year Common Platform

Competition from LEGO “clones” Competition from Intel

LEGO underpins the Toy Market, Power the Enterprise Server Market


http://brickfetish.com/patents/patent_1958.html


Manufacturing Cost



Heritage








50+ Years50+ Years





Manufacturing Cost



Heritage


50+ Years 50+ Years






Constant focus to remain current$1B Invest for Linux$2.4B Invest for POWER8$3B Invest for Future





Manufacturing Cost



Heritage


50+ Years 50+ Years






~$4.3B revenue Number 1 Traditional UNIX





Manufacturing Cost



Heritage


50+ Years 50+ Years






~18 per million elementsrejected

130x more checkers in POWER processors





Manufacturing Cost



Heritage


50+ Years 50+ Years











Manufacturing Cost



Heritage


50+ Years 50+ Years






19 Billion elements per yearCommon Platform





Manufacturing Cost



Heritage


50+ Years 50+ Years





19 Billion elements per year Common PlatformCompetition from LEGO “clones”Competition from Intel





Manufacturing Cost



Heritage


50+ Years 50+ Years











What “bricks” do LEGO use?

IBM AIX, IBM PowerHA, IBM Tivoli Storage Manager, IBM Tivoli Netcool/Webtop,IBM Tivoli Netcool/OMNIbus Probe, IBM Tivoli Composite Application Manager,

IBM Tivoli Monitoring, IBM Tivoli Enterprise Console, IBM Tivoli Network Manager,IBM Tivoli Performance Analyzer, IBM System Storage SAN Volume Controller,

IBM TotalStorage Productivity Center, IBM Power 570,IBM BladeCenter HS22 blade servers, IBM Power 770, IBM System x3650 servers,

IBM System Storage DS4800, IBM System Storage DS8700, IBM Tape Library

http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?infotype=PM&subtype=AB&htmlfid=SPC03262DKEN

LEGO creates model business success with SAP and IBM



What “bricks” do LEGO use?

“Due to the architecture and design of the cloud-based LEGO Matrix, IT is not a bottleneck on growth.”— Esben Viskum, Senior Director, LEGO Service Center




Let’s talk bricks…


Would you like to go fast?


Go faster – win your race



POWER8 is the fastest around


What would “faster” mean to you?


POWER8 Overview

Optimized for Data

Open Innovation Platform

Superior CloudEconomics


Power S814 Power S824

Power S822

Power S812L

Power S822L

Scale-out Systems (1 & 2 sockets)

IBM

Pow

er S

yste

ms

Enterprise Systems (4+ sockets)

Power E880CPower E870CPower E850C

Power S824L

Power Systems Range

Operating Systems

or

Hypervisors Management


IBM Power Systems with Oracle DBs

£0.00

£10,000,000.00

£20,000,000.00

£30,000,000.00

£40,000,000.00

£50,000,000.00

£60,000,000.00

£70,000,000.00

£80,000,000.00

£90,000,000.00

HPE ProLiantDL380 Gen9

(2ch/36co XeonE5-2699 v3

2.3GHz)

HPE ProLiantDL580 Gen9

(4ch/72co XeonE7-8880 v32.30GHz)

IBM PowerSystem S812LC

(1ch/10coPOWER82.92GHz)



IBM PowerSystem S824


IBM PowerSystem E850




Cost Comparison 3 Year DG MaintOracle DG Lic Costs3 Year Tuning Pack MaintOracle Tuning Pack Lic Costs3 Year Diag Pack MaintOracle Diag Pack Lic Costs3 Year Partitioning MaintOracle Partitioning Lic Costs3 Year RAC MaintOracle RAC Lic Costs3 Year Oracle MaintOracle DB Lic CostsPeople Costs (3yr)SAN Port CostsLAN Port CostsPower Costs (3yr 24x7)Rack Costs (3yr)Hardware Maint (3yr 24x7)System Purchase


Linux on Power: Lower Hardware Costs

• PowerVM Linux Edition– 1 year 24x7 SWMA

• Integrated Facility for Linux– Linux only

4 CoreActivations

32 GBMemory

+ +

Lower CostSupport


Linux on Power: Lower IBM Software Costs

• 70 Processor Value Units

• Same as 2-socket servers

• Enterprise Power advantage

PowerVM

Linux Linux Linux

Power Hardware


IBM Power Systems with WAS/ND

£0.00

£500,000.00

£1,000,000.00

£1,500,000.00

£2,000,000.00

£2,500,000.00

£3,000,000.00

£3,500,000.00

£4,000,000.00

£4,500,000.00

£5,000,000.00

HPE ProLiantDL380 Gen9(2ch/36co

Xeon E5-2699v3 2.3GHz)

HPE ProLiantDL580 Gen9(4ch/72co

Xeon E7-8880v3 2.30GHz)





IBM PowerSystem S824






Cost Comparison

WAS/ND 3 Year Support Costs

WAS/ND License Costs

People Costs (3yr)

SAN Port Costs

LAN Port Costs

Power Costs (3yr 24x7)

Rack Costs (3yr)

Hardware Maint (3yr 24x7)

System Purchase


Open Source for IBM i

• Option 1 – Node.JS 2.x

• Option 2 - Python 3.4

• Option 3 – GCC / chroot

• Option 4 – Python 2.7

• Option 5 – Node.JS 4.x

• Option 6 – Git

• Option 7 – Tools

• Option 8 – Orion

• Option 9 – cloud-init

• Option 10 – Node.JS 6.x31

New


Do you believe that POWER8 is best for you?


Need a refresher in Computer Science?


Getting answers from your data

• To work with your data today, you need to get the data to the processor core–Get data from disk–From disk to adapter–From adapter to memory–From memory to cache



• To work with your data today, you need to get the data to the processor core–Get data from disk–From disk to adapter–From adapter to memory–From memory to cache–From cache to processor core



• To work with your data today, you need to get the data to the processor core–Get data from disk–From disk to adapter–From adapter to memory–From memory to cache–From cache to processor core–Get your answer!

Still gobbledegook?


Your not a computer scientist?


You don’t need to be.


What would “faster” mean to you?


Taking the kids to school


Fast processors = new knowledge fast


POWER8 vs. Intel Performance

Benchmark x86 E5 HaswellBest

Results POWER8Best

Results

PerCore Ratio

SAP SD 2-Tier ERP 6 Dell PowerEdge R730E5-2699 v3, 36 Core 16,500 IBM E870

80 Core 79,750 2.2 X

SPECjbb2013 Lenovo Flex x240E5-2699 v3, 36 Core 245,178 IBM E870

80 Core 1,299,150 2.4 X

SPECint_rate2006 Dell PowerEdge T620E5-2699 v3, 36 Core 1,400 IBM S824

24 Core 1,750 1.9 X

SPECfp_rate2006 Dell PowerEdge T620E5-2699 v3, 36 Core 942 IBM S824

24 Core 1,370 2.2 X

Oracle e-BS 12.1.3Extra Large Payroll

Cisco UCS C240 M4E5-2697 v3, 28 Core 1,125,281 IBM S824

12 Core 1,090,909 2.3 X

IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour: 8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result valid as of October 3, 2014. Source: http://www.sap.com/benchmark. Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36 cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033.

SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results

SPECcpu2006 results are submitted as of 9/8/2014. For more information go to http://www.specbench.org/cpu2006/results/ All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 1/24/2015. For more information go to http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html

PerCore Ratio

2 X or better


POWER8 vs. Intel Performance

Benchmark x86 E5 HaswellBest

Results POWER8Best

Results

PerCore Ratio

SAP SD 2-Tier ERP 6 Dell PowerEdge R730E5-2699 v3, 36 Core 16,500 IBM E870

80 Core 79,750 2.2 X

SPECjbb2013 Lenovo Flex x240E5-2699 v3, 36 Core 245,178 IBM E870

80 Core 1,299,150 2.4 X

SPECint_rate2006 Dell PowerEdge T620E5-2699 v3, 36 Core 1,400 IBM S824

24 Core 1,750 1.9 X

SPECfp_rate2006 Dell PowerEdge T620E5-2699 v3, 36 Core 942 IBM S824

24 Core 1,370 2.2 X

Oracle e-BS 12.1.3Extra Large Payroll

Cisco UCS C240 M4E5-2697 v3, 28 Core 1,125,281 IBM S824

12 Core 1,090,909 2.3 X

IBM Power E870 on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 8 processors / 80 cores / 640 threads, POWER8; 4.19GHz, 2048 GB memory, 79,750 SD benchmark users, running AIX® 7.1 and DB2® 10.5, dialog response: 0.97 seconds, order line items/hour: 8,722,000, dialog steps/hour: 26,166,000, SAPS: 436,100, Database response time (dialog/update): 0.013 sec / 0.026 sec, CPU utilization: 99%, Cert #2014034. Result valid as of October 3, 2014. Source: http://www.sap.com/benchmark. Dell PowerEdge R730, on the two-tier SAP SD standard application benchmark running SAP enhancement package 5 for the SAP ERP 6.0 application; 2 processors/36 cores/72 threads, Intel Xeon Processor E5-2699v3; 2.30 GHz, 256 GB memory; 16,500 SD benchmark users, running RHEL 7 and SAP ASE 16; Certification # 2014033.

SPECjbb2013 results are submitted as of 12/01/2014. For more information go to http://www.specbench.org/jbb2013/results

SPECcpu2006 results are submitted as of 9/8/2014. For more information go to http://www.specbench.org/cpu2006/results/ All results use Oracle eBS 12.1.3 Payroll Batch Extra Large Kit and are current as of 1/24/2015. For more information go to http://www.oracle.com/us/solutions/benchmark/apps-benchmark/results-166922.html


SMT = Hermione’s Time-TurnerAttend multiple lessons at once and learn more!


POWER8 and AIX Demonstrate SMT Throughput Improvement Compared to Intel

IBM Confidential


Do you have enough to do?


Is the car park big enough?Cache = school car park


Core

Cache

Memory

Memory is slow relative tocache

1-100clock cycles

400-800clock cycles

1clock cycle

Cache is Critical to Good Performance


Chip Cache and Core Speed

2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included

Chip FamilyCore

Frequency(GHz)

L1 plus L2 Cache per Core (KB)

Approximate Cache per Core

(MB)

Intel 26xx-V4 (2S, 8+ Cores) 1.7 – 3.2 320 2.81 – 3.44

Intel 46xx-V4 (4S, 8+ Cores) 1.8 – 2.6 320 2.81 – 4.06

Intel 48xx-V4 (4S, 8+ Cores) 2.0 – 2.1 320 2.81

Intel 88xx-V4 (8S, 8+ Cores) 2.1 – 2.8 320 2.81 – 6.31

POWER8 (DCM, 8+ Cores) 3.02 – 4.15 608 19.27

POWER8 (SCM, 8+ Cores) 4.02 – 4.35 608 19.27

IBM z13 5.0 4,320 32.22

Note: Only 3 of the 42 Intel chips included on this chart have greater than 2.81 MB of cache per core. Only 3 of the chips included have clock frequencies >= 3 GHz

Chip FamilyCore

Frequency(GHz)

L1 plus L2 Cache per Core (KB)

Approximate Cache per Core

(MB)

Intel 26xx-V4 (2S, 8+ Cores) 1.7 – 3.2 320 2.81 – 3.44

Intel 46xx-V4 (4S, 8+ Cores) 1.8 – 2.6 320 2.81 – 4.06

Intel 48xx-V4 (4S, 8+ Cores) 2.0 – 2.1 320 2.81

Intel 88xx-V4 (8S, 8+ Cores) 2.1 – 2.8 320 2.81 – 6.31

POWER8 is… Faster Bigger Much Bigger!

POWER8 (DCM, 8+ Cores) 3.02 – 4.15 608 19.27

POWER8 (SCM, 8+ Cores) 4.02 – 4.35 608 19.27


Larger memory bandwidth means less waiting

POWER8 Memory Bandwidth per Socket

GB/Sec

IBM Confidential


Chip Bandwidth and Threading

2S=2 Socket, 4S=4 Socket, 8S=8 Socket, DCM=Dual Chip Module, SCM=Single Chip Module, Low Power Models Not Included, Updated 6/1/2015

Chip Family

MemoryBandwidthper Socket

Peak I/OBandwidthper Socket

Threadsper Core

Intel 26xx-V4 (2S, 8+ Cores) 60 – 77 GB/s 80 GB/s 1, 2

Intel 46xx-V4 (4S, 8+ Cores) 68 GB/s 80 GB/s 1, 2

Intel 48xx-V4 (4S, 8+ Cores) 102 GB/s 64 GB/s 1,2


POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8

POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8

Chip Family

MemoryBandwidthper Socket

Peak I/OBandwidthper Socket

Threadsper Core

Intel 26xx-V4 (2S, 8+ Cores) 60 – 77 GB/s 80 GB/s 1, 2


Intel 48xx-V4 (4S, 8+ Cores) 102 GB/s 64 GB/s 1,2


POWER8 is… Much faster! About the same Does much more!

POWER8 (DCM, 8+ Cores) 192 GB/s 96 GB/s 1, 2, 4, 8

POWER8 (SCM, 8+ Cores) 230 GB/s 64 GB/s 1, 2, 4, 8


Enterprise System PoolsGrow your brains and move them around


• Planned maintenance

• Rebalance capacity

• Failover clusters

• Server migration

Power Enterprise Pools Lower Costs

Before After

A B C A B C


Marketing

Scale-Up or Scale-Out

Scale-Up Scale-Out


What is Power8?

http://www.power8.com/Home.aspx

http://www.power8.com/Home.aspx


What is POWER8?

POWERx – All uppercase, with number, no space – processor generationPower – Uppercase “P”, rest lower case, no number, servers, based on POWER processors


POWER8 Overview

Optimized for Data




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


Hadoop / Spark Commercial Technical

OpenPOWER Linux Cluster (LC) Systems (existing)

S812LC1 socket, 2U, Linux

8 or 10 coresUp to 1 TB memory

Up to 112 TB Storage4 Available PCI Slots

KVM / Bare Metal

S822LC – GCA2 socket, 2U, Linux


2 Disks5 Available PCI slots

KVM / Bare Metal

S822LC – GTA2 socket, 2U, Linux


2 Disks2 NVIDIA K80 GPUs3 Available PCI Slots

Bare Metal


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

http://www-03.ibm.com/systems/power/hardware/s812lc/buy.html

http://h71016.www7.hp.com/dstoreHPE/MiddleFrame.asp?page=config&ProductLineId=431&FamilyId=3852&BaseId=45441&oi=E9CED&BEID=19701&SBLID


PostgreSQL Benchmark Price Performance

Power S822LC HP DL380 Gen9

Configuration

16 cores / 128 threads, POWER8; 3.6GHz,

256 GB memory, PostgreSQL 9.5 Alpha2, RHEL 7.1,

PowerKVM

36 cores / 72 threads; Intel E5-2699 v3; 2.3 GHz;

256 GB memory, PostgreSQL 9.5 Aplha2, RHEL 7.1, RHEV

Web Price ($US) $20,872 $29,123

Relative Results 1,250 1,000

Price Performance $16.70 (1.74X Better) $29.12

• Results are based on IBM internal testing of single system running multiple virtual machines with pgbench select only work load and are current as of October 5, 2015. Performance figures are based on running a 300 scale factor. Individual results will vary depending on individual workloads, configurations and conditions.

• IBM Power System S822LC; 16 cores / 128 threads, POWER8; 3 .6GHz, 256 GB memory, PostgreSQL 9.5 Alpha2, RHEL 7.1, PowerKVM • Competitive stack: HP Proliant DL380 Gen9; 36 cores / 72 threads; Intel E5-2699 v3; 2.3 GHz; 256 GB memory, PostgreSQL 9.5 Aplha2 , RHEL 7.1, RHEV • Transactions per $ graph compares virtual machine at comparable per VM transactions per second using S822LC running 8 vcpu (1 core equiv.) and DL380 GEN9 ran 4 vcpu (2 core equiv.) VM configurations. S822LC produced 26, 781

average TPS per VM @ 20 VMs; DL380 produced 26,793 average TPS per VM @ 16 VMs.• Pricing is based on web pricing for S822LC http://www-03.ibm.com/systems/power/hardware/s822lc-commercial/buy.html and HP DL380


http://www-03.ibm.com/systems/power/hardware/s822lc-commercial/buy.html



Dense Virtualisation Big Data Technical

OpenPOWER Linux Cluster (LC) Systems (new)

S821LCUp to 2 socket, 1U, Linux

8, 10, 16 or 20 coresUp to 512 GB memoryUp to 38 TB Storage1 NVIDIA K80 GPU

4 Available PCI Slots

S822LC for Big DataUp to 2 socket, 2U, Linux

8, 10, 16 or 20 coresUp to 512 GB memoryUp to 96 TB Storage2 NVIDIA K80 GPUs5 Available PCI slots

S822LC for HPC2 socket, 2U, Linux

NVLink16 or 20 cores

Up to 1 TB memory2 Disks

2 or 4 NVIDIA P100 GPUs3 Available PCI Slots


OpenPOWER Linux Cluster (LC) Systems

S821LCMTM: 8001-12C

Code Name: Stratton

S822LC for Big DataMTM: 8001-22C

Code Name: Briggs

S822LC for HPCMTM: 8335-GTB

Code Name: Minsky (was Garrison)

Power S812LCMTM: 8348-21C

Code Name: Habanero

Power S822LCMTM: 8335-GCA

Code Name: Firestone

Power S822LCMTM: 8335-GTA

Code Name: Firestone


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


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.


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!

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


The Mythbusters explain GPUs – click image below!

https://www.youtube.com/watch?v=-P28LKWTzrI


Power Systems and NVIDIA GPU Roadmap

NVIDIA GPU NVIDIA GPU with NVLink

2015

Power Chip Power Chipwith NVLink*

2016*

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

80 GB/sPeak*

PCIe x1632 GB/s


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!


Coherent Accelerator Processor Interface

Non-CAPI

Off-ChipAccelerator

Core

Memory

PC

I

CAPI

FPGAw/CAPI

AcceleratorP8Core

Memory

PC

I


What is CAPI?

FPGA

POWER8 Core

PCIe

POWER8 Processor

OS

App

Memory (Coherent)

AFU

IBM Supplied PSL

Virtual Memory

CA

PP

CAPI (Coherent Accelerator Processor Interface) is a set of IBM innovations in hardware and software that allow an application and it’s accelerated component to share the same virtual address space.

For customers, CAPI enables performance and ease of programming:

• Application to set up data coherently in shared virtual memory and call the accelerator functional unit (AFU)

• AFU to reads and writes data from and to shared virtual memory coherently across PCIe and communicating with the application

• AFU to coherently cache data in the PSL cache for quick AFU access


What is OpenCL?

Host Accelerator

C/C++ API

OpenCL C

• OpenCL is an open standard programming framework enabling a programmer to code and compile a kernel for a number of architectures like CPU’s, GPU’s, FPGA’s or other processors.

• OpenCL provides an abstraction of the hardware allowing software engineers to accelerate algorithms

• OpenCL enables flexibility of acceleration approaches

• OpenCL enables selection of most effective acceleration platform for your kernel

• Allows you to leverage a vast OpenCL ecosystem for accelerated functionality

– Multiple FPGA suppliers– Multiple kernel providers

http://en.wikipedia.org/wiki/File:OpenCL_Logo.png












http://www.khronos.org/

http://www.khronos.org/

http://altera.com/

http://www.google.com/

http://www.fujitsu.com/

http://www.ibm.com/

http://www.amd.com/

http://www.arm.com/

http://www.intel.com/

http://www.nvidia.com/

http://www.ti.com/

http://www.samsung.com/

http://www.ericsson.com/mobileplatforms




What OpenCL 2.0 features exploit CAPI?• On CAPI systems, Shared Virtual Memory (SVM) can be used to share buffers between

host and FPGA rather than transferring data to and from private FPGA buffers

• Non-CAPI

• CAPI

• Existing OpenCL host programs need to be modified to use SVM buffers instead of cl_mem objects

Dataout

Datain transfer from host

Kernel execution

Dataout transfer to host

Datain

Datain in shared memory

Kernel execution

Dataout in shared memory


Catalogue of CAPI Accelerators

FinancialL3 Order Book (Algo

Logic)Monte Carlo Risk

Analysis (IBM)

DatabaseIBM Data Engine for No-

SQL (“CAPI-Flash”)

Erasure code for Hadoop(IBM, Xilinx, Semptian)

SQL Accelerator (IBM Netezza)

Key Value Store (KVS) (Xilinx)

Dynamic Time Warp Pattern Match (IBM)

Bitwise Encryption (DRC / SecurityFirst)

General PurposeGZIP Compression (IBM)

Fast-Fourier Transfer (IBM)Linear Algebra (Auviz)

JPEG Manipulation (ClusterTech)

SecurityBank Fraud Detection

In-Betweenness Djikstra (DRC)

Video Surveillance (SiliconScapes)

Digital DNA for forensics (DRC)

Retail & AnalyticsRegEx Text Analytics

(IBM)Mood Detection (SiliconScapes)

Real-Time Ad Auctions (Algo-Logic)

Visually impaired assistance

(SiliconScapes)

Computer Vision& Learning

CV Library (Auviz)

People Identification

DNN Library (Auviz)

Activity Recognition (SiliconScapes)

Health CareLight Activated Cancer Therapy (U of Toronto)

Genomics Processing (Edico)

PairHMM Accelerator (IBM)


CAPI related OpenPOWER members


Intel taking a very different strategic direction…


The last four generations of x86 architecture


Single Thread Performance is Increasing

Performance measured in rperfs

+14 % +28%

POWER7 7403.7 GHz8 CoresSMT1

56

POWER7+ 7404.2 GHz8 CoresSMT1

64

POWER8 S8244.1 GHz8 CoresSMT1

82


Google, Rackspace, and GPUs: OH MY! See what you missed at OpenPOWER Summit

http://openpowerfoundation.org/blogs/google-rackspace-gpus-openpower-summit/

http://openpowerfoundation.org/blogs/google-rackspace-gpus-openpower-summit/


Accelerators Will Be Enhanced in POWER9POWER9

Core On-ChipAccelerators

Cache Hierarchy and On-Chip Interconnect

I/O CAPIMemory SMPAccelNVPCIe Gen4DDR4 16 Gb/s25 Gb/s

Memory PCIeDevice

IBM &PartnerDevice

NVIDIAGPU

IBM &PartnerDevice

POWER9Chips

DD

R

PC

Ie

CA

PI 2

NVLink 2

Accel

SM

P

Source: http://openpowerfoundation.org/presentations/brad-mccredie-board-advisor-ibm/

83 © IBM Corporation, 2016http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/

http://www.nextplatform.com/2016/08/24/big-blue-aims-sky-power9/


POWER8 Announcement

Optimized for Data




Need for change


Power Systems Scalability and Value Growth

IBM p5 595(2004)

List Price £2.4M38 Processor CoresPer Ratio (Gartner)

= 1.00~22,710 watts maxWeight ~1,310 kg

=IBM Power S822

(2014)

List Price £42.5k12 Processor CoresPer Ratio (Gartner)

= 1.17~1,524 watts maxWeight ~28.6 kg


Power Systems Scalability and Value Growth

IBM p5 595(2004)

List Price £2.4M38 Processor CoresPer Ratio (Gartner)

= 1.00~22,710 watts maxWeight ~1,310 kg

=IBM Power

S821LC(2016)

List Price £7.7k20 Processor CoresPer Ratio (Gartner)

= 1.00~703 watts maxWeight ~19 kg


Off-premise

On-premise

VPN

Sec

urity

Ser

vice

s

Sec

urity

Ser

vice

s

Container

Systems of Record Systems of EngagementBluemix

AIXRHEL

IBM i

IBM Systems Hybrid Cloud Reference Architecture


Systems of…


Traditional IBM Power Systems – Systems Of Record


Other data sources, some in the Cloud


New and imminent announcements

• 9 Sept 2016 Three new LC servers–S821LC (1U), S822LC for Big Data, & S822LC for High Performance Computing

• 19 Sept 2016 Power Enterprise Cloud - E870C & E880C

• 11 Oct 2016 –Power Enterprise Cloud – E850C–DDR4 memory–Multiple I/O announcements

Organizations struggle with key technology challenges supporting insights, change, and speed

Understanding Data

Digital intelligence is a primary competitive advantage

Yet 88% of all data today is unstructured and invisible to computers1

“The next wave will be all about connecting dots and correlating data to produce actionable insights.” –CIO, Retail, United States2

Keeping Pace

Superior technology delivers superior performance

Yet the pace of innovation (72%) is now the top CEO challenge, even greater than security (66%)3

“Disruptive technologies could change the fundamentals of our business” –Kazuo Hirai, CEO, Sony Corporation, Japan4

Accelerating Time-to-Market

Sustainable success is now measured in days, not weeks

Outperforming CxOs are 95% more likely to focus on being first to market4

“We’ve been charged with speeding up time-to-market, both for the products we sell and for our own internal tools.”⎯Kalev Reiljan, CIO, TeliaSonera, Finland2

Source: 1) IBM ResearchSource: 2) IBM Institute for Business Value, Redefining Connections, Insights from the Global C-suite Study – The CIO PerspectiveSource: 3) Fortune, Myth-busting the Fortune 500, 2015Source: 4) IBM Institute for Business Value, Redefining Boundaries: Insights from the Global C-Suite Study, 2015

IBM Systems | 93

Expose systems as

APIs to enable composable

services

IBM Systems | 94

Architects of the future require IT infrastructure that can do more than ‘just work’Servers and storage are no longer inanimate.

They can understand, reason, and learn.

Today, they can think.

Outthink status quo.Think IT infrastructure for thecognitive era.

Detect anomalies to proactively

resolve issues

Move data to right location

based on usage

patterns

Deliver real-time insights

from oceans of data


What is cognitive computing?

Cognitive computing solutions offer various capabilities, including…

• Learning and building knowledge from various structured and unstructured sources of information

• Understanding natural language and interacting more naturally with humans

• Capturing the expertise of top performers and accelerating the development of expertise in others

• Enhancing the cognitive processes of professionals to help improve decision making

• Elevating the quality and consistency of decision making across an organization.


Engage with your customers

• Acts as a tireless agent providing expert assistance to human users

• Makes the conversation in natural means, such as human language

• Understands consumers from past history and brings context and evidence-based reasoning to the interaction.


Fighting the security questions

A Call Center Storyhttps://www.linkedin.com/pulse/fighting-security-questions-banking-story-david-spurway

https://www.linkedin.com/pulse/fighting-security-questions-banking-story-david-spurway

https://www.linkedin.com/pulse/fighting-security-questions-banking-story-david-spurway


Banking industry - Thought leadership from the IBM Institute of Business Value

Breakthrough bankingYour cognitive future in banking and financial markets

http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=XB&infotype=PM&htmlfid=GBE03713USEN&attachment=GBE03713USEN.PDF

http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=XB&infotype=PM&htmlfid=GBE03713USEN&attachment=GBE03713USEN.PDF


Some existing challenges


But what does this have to do with IBM Systems?

• Details of customers (such as past history), is contained on IBM Systems–IBM Power–System z

• New solutions will combine existing Systems of Record with new solution elements in the Cloud

• An example of Hybrid Cloud


A surprise trip to Lisbon

An Insurance Storyhttps://www.linkedin.com/pulse/surprise-trip-lisbon-insurance-story-david-spurway

https://www.linkedin.com/pulse/surprise-trip-lisbon-insurance-story-david-spurway

https://www.linkedin.com/pulse/surprise-trip-lisbon-insurance-story-david-spurway


I find myself in Lisbon…

• My Parents-In-Law set off on a cruise, but Mother-In-Law is taken ill

• Hospitalised in Lisbon

• Insurance company take 12 days to validate cover

• Father-In-Law is the real concern

• Twitter storm


Insurance industry - Capturing hearts, minds and market share

How connected insurers are improving customer retention

http://www-935.ibm.com/services/us/gbs/thoughtleadership/insuranceretention/

http://www-935.ibm.com/services/us/gbs/thoughtleadership/insuranceretention/


Insurance is a product based on trust, for which perception matters.


Mix in some Bluemix and Watson…


Unstructured Facebook entries in, Geo Political Entities out!

http://ibmlaser.mybluemix.net/siredemo.html

http://ibmlaser.mybluemix.net/siredemo.html


Who & Where: Find out with Bluemix Geospatial Analytics

https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/

https://developer.ibm.com/bluemix/2014/12/17/find-bluemix-geospatial-analytics/


But what does this have to do with IBM Power?

• Details of customers are on IBM Power Systems–Customer Details–Declared Medical History

• Location, Sentiment, etc. are on Social Media

• Other data could be available through B2B APIs

• Hybrid Cloud solution could differentiate from competition


IBM Power Systems Enterprise Cloud Infrastructure

On-Premises Cloud Hybrid Infrastructure

Complementary Built-in Cloud Deployment Service Options

Transform traditional infrastructure with automation, self-service and elastic consumption models

Securely extend to Public Cloud with rapid access to compute services and API integration

• OpenStack-based Cloud Management: enabling DevOps to Full production

• Open source automation (installation and config. recipes)

• Flexible elastic private cloud capacity and consumption models

• Cross Data Center Inventory and Performance Monitoring via the IBM Cloud

• Manage VMs across on and off-premises clouds with a single pane of glass (e.g., VMware vRealize)

• Securely connect traditional workloads with cloud-native apps (Power & API Connect, BlueMix)

• Optional DR as a Service (GDR for Power)• Free access and capacity flexibility with SoftLayer

- Free SoftLayer starter pack (12 server months)- Flexibility to run capacity On Premises or in SoftLayer

•Design for Cloud Provisioning and Automation •Build for Infrastructure as a Service•Build for Cloud Capacity Pools across Data Centers

•Design for Hybrid Cloud with BlueMix•Deliver with automation for DevOps •Deliver with Database as a Service


Questions?David Spurway – IBM Power Systems Product ManagerEmail: [email protected]: 07717 892 896Twitter, LinkedIn, YouTube

mailto:[email protected]

https://twitter.com/d_spurway

https://uk.linkedin.com/in/david-spurway-870869

https://www.youtube.com/channel/UCjE0lqgXKIihG3os0nx_OVQ


How IBM Power Systems are like Batman

https://www.linkedin.com/pulse/how-ibm-power-systems-like-batman-david-spurway?articleId=8112406449121429124





Thank you!David Spurway – IBM Power Systems Product ManagerEmail: [email protected]: 07717 892 896Twitter, LinkedIn, YouTube

mailto:[email protected]

https://twitter.com/d_spurway

https://uk.linkedin.com/in/david-spurway-870869

https://www.youtube.com/channel/UCjE0lqgXKIihG3os0nx_OVQ

Date post:	20-Mar-2017
Category:	Technology
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IBM Power Systems Introduction

Technology