Creating an Open Data Center with 64-bit ARM Technology
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Transcript of Creating an Open Data Center with 64-bit ARM Technology
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