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Disruptions to IT
These Megatrends are Rewriting the Rules of IT
Cloud
Mobile
Big Data
?SW Defined
These Companies are seen as the New Benchmark for IT
85%using cloud
tools regularly
73%have mix of corporate &
personal devices
300xgrowth of digital universe
plan to deploy SDN within a
year
71%
Outline
Datacenter Trends
ARM in the Datacenter– Why?
• Economics• Innovation from Open Ecosystem
– Where?• Workloads and Applications• Web Scale workloads
– When?• 64-bits & Performance• Standardization & Ecosystem readiness
ARM Server Ecosystem Development & Evaluation– Dell Solutions Center – HPC Case Study on ARM: EP Analytics
Computing Landscape Evolution
“Computer classes die or are overtaken by lower-priced, more rapidly evolving general-purpose computers as the less-expensive alternatives operating alone, combined into multiple shared memory micro processors and multiple computer clusters”
- Bells Law for the Birth and Death of Computer Classes
– Roughly every decade a new, lower priced computer class forms based on a new programming platform, network, and interface
– Higher volume manufacturing leads to decreasing cost while simultaneously increasing performance
Supercomputers
Constant price, increasing performance
Sub-class formation
New “minimal priced” computers
Pri
ce
Time
Holistic View of IT Classes
Hosting/Web Tier
Warehouse-Scale Datacenters
HPCTraditional
IT
Traditional EnterpriseGeneral PurposeReliability, Manageability
High-Performance ComputingPerformanceR&D
Hosting/WebTCO Scalability
Warehouse-ScaleExponential ScalabilityNew software platforms
Modernizing Traditional IT
Converged & aggregated fabrics-Simple & Low cost IO AggregationEast-West network trafficNative Fibre Channel at chassis edge
Discrete Conventional networks1GbE & 10GbE NICs
Mainstream compute 4S & 2S servers
scale-out, & microservers Dense 2S Commodity1S Microservers
SANCentralized storage
Direct Attached Storage (DAS) Scale-out, Software Defined StorageVirtual SANs (vSAN)
Drivers : low cost, simplicity, easy to scale, flexibility
Right Sized Shared InfrastructureOptimized for project scale to rack scaleSmall failure domain
Proprietary HardwareLarge upfront investmentLarge failure domain
Why ARM Servers?
Economic & Ecosystem Factors– Acquisition and OpEx challenges
– Choice in CPU vendors
– Volume economics
– Adoption of open source and software defined platforms
– Power and Cooling challenges
– Lower manufacturing costs
Faster Pace of Innovation– Specialized silicon optimizations for workloads and customers
– Fab Technology advances
– Integration of high-speed components (better performance/$)
– Servers for scale-out and cloud platforms
Datacenter Ready?
Platform Readiness
– Uboot vs. UEFI
– FDT vs. ACPI
– SBSA
– SBBR
Software Availability– Server Class OS & Hypervisors
– Optimized Open Source Packages; Optimized Linux Ecosystem: Linaro
– Compilers, Runtime Environments, Middleware..
Performance– “Good Enough” satisfies certain workloads
– Single threaded and throughput performance is important to penetrate broader market
64-bit Performance Gains (HPC)
32-bit 64-bit0.0
2.0
4.0
6.0
8.07.4X
NAMD
32-bit 64-bit0.01.02.03.04.05.06.07.08.0
4.6X
HPL
cg ep ft is lu mg0.0
5.0
10.0
15.0
20.0
13.2
9.3
17.4
11.2 11.8
7.4
NPB
32-bit 64-bit0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
5.6X
milc
**Performance measured on 32-bit & 64-bit Dell ARM POC Systems
64-bit Performance Gains (Web 2.0)
32-bit 64-bit0.0
2.0
4.0
6.0
8.0
6.5X
MemcacheD
32-bit 64-bit0.0
2.0
4.0
6.0
8.0
5.7X
Web Server 1 20
1
2
3
4
98%
34%
3.02
DVD Store Benchmark
transactions/min CPU load
**Performance measured on 32-bit & 64-bit Dell ARM POC Systems
Workloads & Usage Scenarios
12
General Purpose HPCC
(Research, Higher education, etc.)
EDA and Manufacturing(Chip/System design modeling, layout and
simulations etc.)
Big Data Analytics(Emerging & Intersecting with
distributed compute/data)
Cold Storage(Archive/Backup @ lowest
$/GB)
Media Streaming/CDN(Explosion of content/media delivery on a global scale)
Web2.0(Rich Media, Fast network, Limitless User Interaction)
L.A.M.P. Host(Best platform to support the backbone of the Web)
Dedicated Hosting(Best platform to enable
competitive SLA)
Object Storage(Best Scale-out platform for
solving big data growth)
Sto
rag
e O
ptim
ize
d A
RM
S
erv
ers
SO
C
Se
rve
rsS
OC
Se
rve
rs +
A
cce
lera
tion
(o
ptio
nal
)
Co
mp
ute
Re
qui
rem
en
ts
Cloud Hosting/XaaS(Cost Optimized platform
for scale out)
13
System Performance
**Intel performance is using GCC compiler and average across basic, standard & advance SKU stack
** SPECint scores from www.spec.org and adjusted for gcc
** CPU price from www.intel.com
*** ARM performance is hypothetical and to illustrate required range to handle customer workloads
$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
$3,500
0
100
200
300
400
500
600
700
800
900
15
0 20
2
34
6 40
6
37
1 43
7
34
5
51
2 55
2
45
8
60
1 65
2
65
6 69
2 72
4
74
2 78
1Performance CPU Price
CP
U C
ost
SOC: Enterprise 2in1U
Memory: 64-128GB
Storage: 1-2 HDD
I/O: 1/10GbE
Mapping of Hyperscale WorkloadsDensity and configuration requirements
SOC : Micro 2-8
Memory: 8-16GB
Storage: 0-2 HDD
I/O: 1GbE
SOC: Micro 2-4
Memory: 16- 32GB
Storage: 1-2 HDD
I/O: 1/10GbE, JBOD, Card
SOC : Enterprise 2in1U
Memory: 64-128GB
Storage: 2-4 HDD
I/O: 10GbE,JBOD,Card
SOC : Micro/Enterprise
Memory: 32-64GB
Storage: 4-8 HDD
I/O: 1/10GbE
SOC : Micro/Enterprise
Memory: 32-64GB
Storage: 8-12 HDD
I/O: 1/10GbE
SOC : Micro
Memory: 16-32GB
Storage: 12-16 HDD
I/O: 1GbE
Dell Confidential – Customer NDA Required
15
Call to Action: Access for Remote Test & Ecosystem Development
Hosted in the Dell Solutions Labs for customers interested in 64bit ARM ecosystem developmentRemote access instructions will be provided once a request is received and customers can login to the Dell Solutions Lab network Requires approved Dell NDA & License/Test agreement to get access
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