Александр Мельников - ibmspecapc* for maya* 2012 lenovo thinkstation* p900 world...
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Александр Мельников
Технологии Intel для
больших данных
SMG University
Big Data – Основа для больших возможностей
Циклическое развитие под действием данных
3
2.8 секстибайт сгененрированно в 20121
Расширенный
пользовательский опыт
Больше данных от устройств
40 секстибайт данных будет
сгенерированно в 20201
Больше данных для
анализа
Облако
Клиенты
Умные системы
(1) IDC Digital Universe 2020, (2) IDC
SMG University
СуперКомпьютрные Вычисления Появление эксафлопсных вычислений на наборах массивных данных
Облако Помогает корпорациям строить открытые взаимодействующие облака
Открытый код Создание кода и развитие экосистемы
Big Data – Основа для больших возможностей
Развитие Больших Данных (Big Data)
4
Intel®
TrueScale
Infiniband
* Other names and brands may be claimed as the property of others.
SMG University
Big Data – Основа для больших возможностей
Цикл данных… Внутри и Снаружи
5
Трансформация/Анализ Вычисления
Передача Сети
Данные
Хранение СХД
SMG University
Big Data – Основа для больших возможностей
Строительные блоки Больших Данных
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отк
лик
Эне
рго
- эф
фе
кт.
Вы
со
кая
до
сту
пн.
Безо
па
сн.
Фонд технологий Intel предлагает передовые решения для аналитики Больших Данных
Вы
бо
р
Intelligent Storage1
Scale-out Storage1
Scale-up Storage1
Intel® SSD 710 series, DC S3700 (SATA)
Intel® SSD 910 series (PCIe)
Intel® Ethernet Controllers
Intel® Ethernet Adapters
Intel® Ethernet Switch Silicon
Intel® True Scale Fabric
Вычисления Сеть СХД
Intel® Distribution for Apache Hadoop
Intel® Data Center Manager
Intel® Node Manager
Intel® Expressway Service Gateway
Intel® Cache Acceleration Software
Intel’s Lustre
Intel® VT and Intel® TXT
Intel® AES-NI
ПО и Технологии
Intel® Xeon® Product Family E3-E5-E7
Intel® Atom™
Intel® Xeon PhiTM
Xeon-based storage systems are available in a wide range of configuration options from the industry’s leading storage vendors
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Семейство продуктов Intel® Xeon® E5-2600 v3
До 50% больше ядер и объема кэш-памяти по сравнению с
предыдущим поколением
Первая серверная платформа с поддержкой памяти DDR4
Ведущие показатели производительности для
вычислительных и сетевых нагрузок для эффективной
динамической работы в облачных средах
Улучшения Intel Xeon E5 v3
Первая реализация памяти DDR4
Intel® Advanced Vector Extensions 2.0
Вычисления Хранение Сеть
Технология Intel® QuickAssist
Intel® Data Plane
Development Kit v1.7
Intel® Data Direct I/O
Intel® Intelligent Storage Acceleration
Library
Рекордная производительность новых решений на базе Intel® Xeon® E5-2600 v3
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those
factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products. For more information go to http://www.intel.com/performance Intel does
not control or audit third-party benchmark data or the web sites referenced in this document. You should visit the referenced web site and confirm whether referenced data are accurate.
*Other names and brands may be claimed as the property of others.
1. Twenty-seven performance world records based on two-socket configurations. Source as of September 8, 2014. Full details available at: http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e5-2600-v3/xeon-e5-2600-v3-summary.html
2. Comparison based on SPECpower_ssj2008 results published as of August 26, 2014. New configuration: Sugon I620-G20 platform with two Intel Xeon Processor E5-2699 v3, 8x16GB DDR4-2133 DR-RDIMM, Microsoft Windows Server 2008 R2, IBM J9 VM, 10,599 overall ssj_ops/watt. Source
Other names and brands may be claimed as the property of others.
3. Source as of September 8, 2014. New configuration: Hewlett-Packard Company HP ProLiant ML350 Gen9 platform with two Intel® Xeon® Processor E5-2699 v3, Oracle Java Standard Edition 8 update 11, 190,674 SPECjbb2013-MultiJVM max-jOPS, 47,139 SPECjbb2013-MultiJVM critical-jOPS. Source.
Baseline: Cisco Systems Cisco UCS C240 M3 platform with two Intel® Xeon® Processor E5-2697 v2, Oracle Java Standard Edition 7 update 45, 63,079 SPECjbb2013-MultiJVM max-jOPS , 23,797 SPECjbb2013-MultiJVM critical-jOPS. Source.
4. Comparisons based by Intel on publicly available specification sheet data &/or white papers
Включая самый
энергоэффективный2 сервер в
мире
До 3 раз увеличение производительности
До 6 раз увеличение
пропускной способности с последними SSD4
До 40GbE для улучшений сетевой виртуализации
Server– Benchmark Platform Importance
SAP Sales & Distribution* (2-
Tier) on Windows*
IBM System x3650 M5*
2-socket world record on
Microsoft Windows19
Workstation:– Benchmark Platform Importance
SPECapc* for Maya* 2012 Lenovo ThinkStation*
P900
World record
(out of all results)20
SPECapc for 3ds Max* 2015 –
CPU Composite
Lenovo ThinkStation
P700
2-socket world record21
SPECwpc* 1.0.4 – Financial
Services
Lenovo ThinkStation
P900
World record
(out of all results)22
Преимущества на реальных задачах
1
0
Финансы
54% улучшение на задачах управления рисками Sungard 3
Аналитика Больших Данных
Улучшение 110% для анализа данных
Cloudera Hadoop 1
Телекоммуникации
36% улучшение Huawei’s FusionSphere
для виртуализации сетевых функций5
Научные
вычисления
47% улучшение при работе с
медицинскими изображениями
Neusoft CT 2
Производство
78% улучшение при анализе дизайна и
симуляции с помощью LS DYNA4
Software and workloads used in performance tests may have been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of
those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.
*Other brands and names are the property of their respective owners.
Configuration Details as of 9/8/14:
1. Up to 2.1x increased performance claim on Cloudera* Hadoop workload based on comparing baseline configuration: 2TB data set on 10-node cluster with 1 name node/resource manager, 1 Cloudera services node, and 8 data nodes. Each node configured as Intel® Server Board S2600CP with two
Intel® Xeon® processor E5-2680 v2 (12C, 2.8GHz, 25M, 115W), 128GB DDR3 memory, Intel® 82599ES 10Gb Ethernet Controller, 1 x 800GB Intel® SSD DC S3500 for OS drive, 12 x 2TB Seagate Constellation 7200 RPM HDDs for storage, Cent OS 6.5, CDH5. BigBench query16 – sales impact on
price change: 878 seconds to the new configuration: 2TB data set on 10-node cluster with 1 name node/resource manager, 1 Cloudera services node, and 8 data nodes. Each node configured as Intel® Server System R2208WTTYS with two Intel® Xeon® processor E5-2699 v3 (18C, 2.3GHz, 45M,
145W), 192GB DDR4 memory, Intel® Ethernet Controller X540-AT2, 1 x 800GB Intel® SSD DC S3500 for OS drive, 12 x 2TB Seagate Constellation 7200 RPM HDDs,1 x 2TB Intel SSD DC P3700, 1 x 2TB Intel SSD DC P3600 for storage, Cent OS 6.5, CDH5. BigBench query16 – sales impact on
price change: 403 seconds. Testing done by Intel.
2. Up to 47% faster claim based on Neusoft CT* workload comparing Intel® Xeon® Processor E5-2697 v2 using Intel® AVX with Intel® Xeon® Processor E5-2697 v300 series using Intel AVX2. Testing done by Intel.
3. Up to 54% faster claim based on SunGard Adaptiv* workload comparing Intel® Xeon® Processor E5-2697 v2 with Intel® Xeon® Processor E5-2697 v3. Testing done by Intel.
4. Up to 78% faster claim based on LSTC LS-DYAN Hybrid* comparing Intel® Xeon® Processor E5-2697 v2 with Intel® Xeon® Processor E5-2697 v3, and Intel® SSD DC S3700 series with Intel® SSD DC P3700 series. Testing done by Intel.
5. Up to 36% faster claim based on Huawei FusionSphere* workload comparing Intel® Xeon® Processor E5-2697 v2 with Intel® Xeon® Processor E5-2697 v3. Testing done by Huawei.
For more information go to http://www.intel.com/performance.
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Решения, которые лучше работают вместе
SAP ERP*
Intel® Xeon®
Processor E5-2600
v3 Product Family
2014
2010
2014
Baseline
• SAP EHP4* + • IBM DB2* 9.7 • Intel® Xeon® Processor
X5690
Software Upgrade
+ SAP EHP5* + IBM DB2* 10
• Fast queries with automatic optimizations
• Efficient indexing
Better Together
Up to 3X performance3
• Improve querying speed
• Support more users3
Benchmark: SAP* SD 2-tier
Hardware Upgrade
+ Intel® Xeon® Processor E5-2699 v3
• Increased parallelism with up to 18 cores • Intel® AVX2 delivers up to 4x DP
FLOPS/core and supports 2x wider vector integer instructions1
• Up to 2.7x memory capacity2
*Other names and brands may be claimed as the property of others.
SAP
an
d S
AP
Net
Wea
ver
are
the
regi
ster
ed t
rad
emar
ks o
f SA
P A
G in
Ger
man
y an
d in
sev
eral
oth
er c
ou
ntr
ies.
See
w
ww
.sap
.co
m/b
ench
mar
k fo
r m
ore
in
form
atio
n.
S
oftw
are
and w
ork
loads u
sed in p
erf
orm
ance t
ests
may
have b
een o
ptim
ized f
or
perf
orm
ance o
nly
on Inte
l
mic
ropro
cessors
. P
erf
orm
ance t
ests
, such a
s S
YS
mark
and M
obile
Mark
, are
measure
d u
sin
g s
pecific
com
pute
r
sys
tem
s,
com
ponents
, softw
are
, opera
tions a
nd f
unctions.
Any
change t
o a
ny
of
those f
acto
rs m
ay
cause t
he
results t
o v
ary
. Y
ou s
hould
consult o
ther
info
rmation a
nd p
erf
orm
ance t
ests
to a
ssis
t yo
u in f
ully
evalu
ating y
our
conte
mpla
ted p
urc
hases,
inclu
din
g t
he p
erf
orm
ance o
f th
at
pro
duct
when c
om
bin
ed w
ith o
ther
pro
ducts
.
For
more
info
rmation,
vis
it inte
l.com
/perf
orm
an
ce
*1,2
,3,4
+ C
onfigura
tion d
eta
ils a
nd a
dditio
nal in
form
ation o
n t
he f
ollo
win
g p
age.
12
Конфигурация SAP* и Intel® Xeon® Processor E5-2600 v3
*Other names and brands may be claimed as the property of others.
1* The Intel® Xeon® processor E5 product family supports Intel® Advanced Vector Extensions (Intel® AVX), which increases maximum vector size from 128 to 256 bits. Compared to the
Intel® Xeon® processor 5600 series, Intel AVX enables up to twice the work to be accomplished per clock cycle during floating point and vector operations.
2* Up to 2.7X memory capacity based on a 2-socket platform: Intel® Xeon® processor X5600 series supports 18 DIMMS, max memory per DIMM of 32 GB RDIMM; Intel® Xeon®
processor 2600v3 family supports 24 DIMMs, max memory per DIMM of 64GB RDIMM. This enables 2.7x the memory.
3* Up to 3x performance improvement based as of September 8, 2014 on SAP SD 2-tier workload comparing baseline IBM System x3650 M3 with two Intel® Xeon® Processor X5690
using SAP EHP 4 for ERP 6.0 scoring 5100 to the IBM System x3650 M5 platform platform with two Intel Xeon Processor E5-2699 v3 (18 cores, 36 threads), Windows Server 2012 R2, IBM
DB2 10, SAP enhancement package 5 for SAP ERP 6.0, number of SAP SD benchmark users: 16,000. The SAP certification number was not available at press time and can be found at
the following Web page: www.sap.com/benchmark.
Processor Intel® Xeon® Processor X5690
(6C, 3.46 GHz, 130W) Intel® Xeon® Processor E5-2699 v3
(18C, 2.3 GHz, 145W)
Sockets 2 2
Memory 96 GB 256 GB
SAP* enhancement
package
SAP* enhancement package 4 for SAP ERP 6.0
SAP* enhancement package 5 for SAP* ERP 6.0
OS Windows Server* 2008
Enterprise Edition Windows Server* 2012 R2
Database IBM DB2* 9.7 IBM DB2* 10
SAP SD benchmark users 5,100 16,0002
Intel Confidential — Do Not Forward
Семейство процессоров Intel® Xeon®
E5 v3
Процессоры Intel® Xeon®,
Твердотельные накопители, ПО
Адаптеры и контроллеры
Intel® 40Gb Ethernet
13
Intel® Xeon® E5 v3: выигрышная комбинация
Вычислени
я
Network
Хранение
SMG University
Big Data – Основа для больших возможностей
Заключение: Intel и Большие Данные
14
Распространение архитектуры Intel демократизирует внедрение и
производительность Больших Данных повсеместно
Ускорение аналитики:
ЦПУ, СХД, сеть
Оптимизированный
программный стек ISV и
сервисы
Стимуляция роста
маркетинговых
партнеров
Поиск решений и
привлечение научного
сообщества
Использование
аналитики на местах