HPE Discover 2019h41382. · HPE Discover 2019 9 9 average SAP HANA 2.0 SPS 3.0 index server start...

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Transcript of HPE Discover 2019h41382. · HPE Discover 2019 9 9 average SAP HANA 2.0 SPS 3.0 index server start...

Page 1: HPE Discover 2019h41382. · HPE Discover 2019 9 9 average SAP HANA 2.0 SPS 3.0 index server start time using Intel® Optane™ DC persistent memory—a 12.5x decrease compared to
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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

ER

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