HPE Discover 2019h41382. · HPE Discover 2019 9 9 average SAP HANA 2.0 SPS 3.0 index server start...
Transcript of HPE Discover 2019h41382. · HPE Discover 2019 9 9 average SAP HANA 2.0 SPS 3.0 index server start...
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HPE Discover 2019 12
World’s GDP will be digitalised by 2022(1)
2019 Global Digital Transformation Spend
Faster growth in Digital Transformation spend versus traditional ITC(2)
(1), (2) Source IDC
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2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Network
Database
Analytics
Multi-cloud & Orchestration
AI
Security
Virtualization
HPC
COMPUTE DEMAND (MIPS)
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MEM/Storage Hierachy Redefined
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Software & System-Level
StoreMove
SILICON PHOTONICS
OMNI-PATH FABRIC
ETHERNET
Process
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Breakthrough Material Advances
Compatible switch and memory cell materials
High Performance
Cell and array architecture that can switch states much faster than NAND
Cross Point Structure
Selectors allow dense packing and individual access to bits
Scalability
Memory layers can be stacked in a 3D manner
Intel® Optane™ technology
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average SAP HANA 2.0 SPS 3.0 index server start time using Intel® Optane™ DC persistent memory—a 12.5x decrease compared to DRAM alone3
50 Minutes4-minutes
Performance results are based on testing as of May 30, 2018, and may not reflect all publicly available security updates. See configuration disclosure for details. No product can be absolutely secure. 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 intel.com/benchmarks.
3 SAP HANA* simulated workload for SAP® BW edition for SAP HANA Standard Application Benchmark Version 2 as of 30 May 2018. Baseline configuration with traditional DRAM: Server with 8 x Intel® Xeon® Platinum 8176M processors (28 cores, 165 watt, 2.1 GHz). Total memory consists of 48 x 16 GB DDR4* 2,666 MHz RDIMMS and 5 2.5” 3.84 TB capacity SAS 12 Gb hot-swap solid-state drives (SSDs) for SAP HANA storage. The operating system is SUSE* Linux* Enterprise Server 12 SP3 and uses SAP HANA 2.0 SPS 03 with a 6 TB dataset. Average start time for all data finished after table preload for 10 iterations: 50 minutes.
New configuration with a combination of DRAM and Intel® Optane™ DC persistent memory: Server with 8 x Intel Xeon Platinum 8176M processors (28 cores, 165 watt, 2.1 GHz). Total memory consists of 48 x 16 GB DDR4* 2,666 MHz RDIMMs and 48 x 128 GB Intel Optane DC persistent memory modules (PMMs), and 5 x* 2.53.84 TB capacity SAS 12 Gb hot-swap solid-state drives (SSDs) for SAP HANA storage. The operating system is SUSE* Linux* Enterprise Server 12 SP3 and uses SAP HANA 2.0 SPS 03 with a 6 TB dataset. Average start time for all data finished after table preload for 10 iterations: 4 minutes (12.5x improvement).
4 Minutes
Minimizing System downtimes with SAP HANA* 2.0 SPS 03Faster starts help ensure business continuity and service-level agreements
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JUL'17 DEC'18 APR'19 COLUMN1
INTEL OPTIMIZATION FOR CAFFE RESNET-50
INF
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EN
CE
TH
RO
UG
HP
UT
(IM
AG
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intel® xeon® platinumintel® xeon® platinum
INTEL®DL BOOST
intel® xeon® platinum
8100 processor
BASE VS BASE VS BASE
INFERENCE OPTIMIZATION IN DEEP LEARNING MODELS
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Transforming, investing….from “PC centric” to ”data centric”
Intel & HPE breed of technologies to store, move & process data faster
Accelerators for increasing compute needs ; Redefining storage hierarchy
A.I. ready technologies, making artificial intelligence easy