GRID Accelerated VDI for Car Design...

Honda R&D Automobile R&D Center

All rights reserved Copyright 2017 © HONDA R&D Co.,Ltd.

GRID Accelerated VDI for Car Design Environment

Computer Integrated Systems Department

Digital Development Promotion Division

Honda R&D Co., Ltd. Automobile R&D Center

Masashi Okubo

Yuma Takahashi Computer Integrated Systems Department



Hiroshi Konno R&D IT Infrastructure Department

System Infrastructure Division, IT Operations

Honda Motor Co., Ltd.

All rights reserved Copyright 2017 © HONDA R&D Co.,Ltd. Honda R&D Automobile R&D Center


Head office: 2-1-1, Minami-Aoyama,

Minato-ku, Tokyo

Established

Main product Automobile, Motorcycle, Power Product （agricultural products, generator, general-purpose engines,

outboard engines)

Consolidated subsidiaries

368 companies including Honda R&D Co., Ltd.

and Honda Engineering Co., Ltd. （ As of Jun 1, 2016 ）

Capital ¥86,067,000,000

Employees Consolidated： 208,399 （As of Jun 1, 2016）

Non-consolidated： 22,399 （ As of Jun 1, 2016）

September 24, 1948

2




20 million customers in the world annually

Automobile business as Honda’s core business /

The world’s No. 1 motorcycle business/

Power product business with wide range of needs

■ Unit sales by business category

■ Consolidated sales： ¥ 14.6 trillion (2015)

0

5

10

15

20

March,

2011

March,

2012

March,

2013

March,

2014

(Million) ■ Motorcycle

■ Power product

■ Automobile

March,

2015

■ Proportion of sales by business category

3

2015

Automobiles 77.0％

Motorcycles 14.0％

Power products 3.0％

Financial services

6.0％




Engineering

Sales Development

Company principal of Honda Motor Co., Ltd.

Maintaining a global viewpoint, we are dedicated to

supplying products of the highest quality, yet at a

reasonable price for worldwide customer satisfaction.

Operation sharing to fulfill each mission in responsible manners

Corporate objective of Honda R&D Co., Ltd.

As an integral part of Honda Motor Co., we supply

product designs created by a unique system highly

suited to leading-edge research in a wide range of fields.

Toward that end, we encourage everyone at Honda R&D

to develop their individual ability to its fullest potential.

Honda R&D Co., Ltd. Honda Motor Co., Ltd.

4

Organization of Honda



Honda R&D Asia Pacific

Honda R&D Europe

U.K. Germany

Honda R&D Americas

Los Angeles Ohio Center

Honda R&D Brazil

India

Honda R&D India

Honda R&D China

Guangzhou

Hamamatsu Suzuka

Honda R&D Japan

Proving Ground Tochigi

Wako Sakura

Automobile R&D site (Local market research, development support for local companies, etc. )

Automobile R&D center

5

Global Headquaters

Automobile R&Ds Worldwide Operation



EWS are nesessary resource on the Automobile R&D process

Engineering WorkStations

6

Car Design Activities

Automobile R&D and EWS



Physical EWS

VDI EWS

by GPU Pass-through

EWS Virtualization & Centralization

Honda EWS Challenging History

Conventional

Host

2nd Challenge

2013-15 2016-17

“Next-gen EWS Project”

1st Challenge

7

What is the EWS Challenge ?



Resource Density

Data Center Data Center

VDI EWS

by GPU Pass-through

8

Mobility

Data Safty

Comfortable Noise/Heat free

Maintenance Efficiency

Data Loss Risk

Heat problem Noise Problem

Tied up on the seat

Maintenance Workload

Physical EWS VDI

Resource Efficiency

High Speed Data Access

7 Racks

1000 VM +

112 Racks

1000 units

94% reduction

The 1ST Challenge : Physical EWS to VDI by GPU Pass-through



CAD User

( Viewing )

DPM , CAE

User

CAD User

( Modeling )

User Variety VDI EWS by GPU Pass-through

More Power

More Efficiency

More Power

More User / Use

More density

Complaints

Deriver

Same Specs

4 core 16GB

K3100M

4 core 16GB

K3100M

4 core 16GB

K3100M

How to expand for a greater variety of users while maintaining efficiency

9

GPU

GPU

GPU

The 1ST Challenge : Physical EWS to VDI by GPU Pass-through



Physical EWS

VDI EWS

by GPU Pass-through

EWS Virtualization & Centralization

Honda EWS Challenging History

Conventional

Host

2013-15 2016-17

2nd Challenge “Next-gen EWS Project”

1st Challenge

10


What is EWS Challenge ?



Yuma Takahashi

CAD Administrator and Application Test Leader

Computer Integrated Systems Department



11



How much computer resources does user use is?

1. What/How ：CPU/Memory/GPU, analysis of the running CAD workstation’s log.

2. Results ：The computer resources usage rate depends on user's work. Need

More Power

Perfect for user

But, inefficient.

Not bad

Many logs Honda Original

Tool

12

Computer Resource Usage Analysis Next-gen EWS Project



Data and EWS Centralization with Flexible VDI and Resource Optimization.

EWS Optimization for Designer

Standard

Light

Power Special worker

Target user of

Resource

Optimization

All Honda

PLM VDI-EWS

Server side

Client side

CAD

3D Approver

CAE

Evaluator Document Creator

Resource usage

visualization

Flexible VDI

Power full EWS resources

Anytime, Anywhere, Speedily, Comfortably!!

Resource

Optimization

13

Next-gen EWS Project

Vision of the Next-gen EWS Project





Standard

Light


Target user of

Resource

Optimization

All Honda

PLM VDI-EWS

Server side

Client side

CAD

3D Approver

CAE


Resource usage

visualization

Flexible VDI



Resource

Optimization

14

1st

Point

• Possible to more flexible spec change by using the new technology.

• The cost down by consolidating VDI resources







Standard

Light


Target user of

Resource

Optimization

All Honda

PLM VDI-EWS

Server side

Client side

CAD

3D Approver

CAE


Resource usage

visualization

Flexible VDI



Resource

Optimization

15

2nd

Point

• To check whether resource is matching or not of the running CAD workstation’s log.

• If not, optimization redo and changing best spec.






COST ★★ ★

EOS ★ ★

POWER SAVING ★ ★★

BLAST SUPPORT ★ ★★

MAINTENANCE ★ ★★

CONSOLIDATION ★ ★★

ADVANTAGE To unaffected to license cost. possible to request a new

technology.

16

K2 M60

NVIDIA GRID K2 VS Tesla M60


All rights reserved Copyright 2017 © HONDA R&D Co.,Ltd. 17

K2 M60


NVIDIA GRID K2 VS Tesla M60

(Lower is better) (Lower is better) K2 K240Q M60 1Q

No performance decrease,

For K2 up to 2VM, For M60 up to 4VM.



Hiroshi Konnno

Assistant Project Leader / VDI Development Leader

R&D IT Infrastructure Department

System Infrastructure Division, IT Operations





19

Hypervisor - VMware vSphere 6.0 ( ESXi 6.0 U2 )

- Protocol : PCoIP ( Testing Blast Extreme )

- NVIDIA GRID vGPU Manager : Ver. 367.43

Virtual Machine - OS : Windows 7 64bit

- GPU Driver : Ver. 369.17

- VMware Horizon Agent 7.0.1

Storage - Pure Storage //m20 ( All Flash Storage )

- NetApp FAS8040A ( Disk Storage )

Host < HPE Apollo r2200 > - CPU : 2x Xeon E5-2667 v4 (8C/16L 3.2GHz)

- Memory : 256GB DDR4

- GPU : 1x NVIDIA Tesla M60

- Local Disk : 2x SATA HDD 1TB

NVIDIA GRID(Tesla M60) HPE Apollo r2200

CAD Application Honda R&D Tochigi Honda R&D Americas

CAD Application

CAD Application

(vDGA)

NVIDIA K3100M HPE Blade


2016-2017 Environment on Tochigi Japan Data Center





CAD Application

CAD Application

(vDGA)













- Local Disk : 2x SATA HDD 1TB Aggregation Rate

Heat radiation

Architecture







CAD Application

CAD Application

(vDGA)













- Local Disk : 2x SATA HDD 1TB IOPS

Capacity







CAD Application

CAD Application

(vDGA)













- Local Disk : 2x SATA HDD 1TB CPU Performance

Frame rate / Response





System Configuration based on NVIDIA GRID

HPE Apollo r2200

Host

NVIDIA Tesla M60

VMware vSphere ESXi

VM1 VM2 VM3 VM4 VM5 VM6 VM7 VM8

Storage N/W (iSCSI) Service N/W

vCenter Server

Connection Server

User Profiles

Data Store

Host

Client Device

Receiver - Win 7 32bit

- Horizon Client

4.3

Server - VMware Horizon 7.0.2 Connection Server

- VMware vCenter Server 6.0 U2

- NVIDIA GRID License Server 1.0.0.1

Virtual Machine

Flash (Performance)

Disk (Capacity)

OS

C Drive

Application

Desktop My

Document

Folder Redirect Roaming Profile

Profile

OS Application Desktop My

Document Profile

Storage - Data Store : Pure Storage

- User Profiles : NetApp

GPU GPU

vGPU vGPU vGPU vGPU vGPU vGPU vGPU vGPU

NVIDIA GRID vGPU Manager

23

GRID License Server




HPE Apollo r2200

Host

NVIDIA Tesla M60

VMware vSphere ESXi



vCenter Server

Connection Server

GRID License Server

User Profiles

Data Store

Host

Client Device


- Horizon Client

4.3




Virtual Machine

Flash (Performance)

Disk (Capacity)

OS

C Drive

Application

Desktop My

Document


Profile


Document Profile



GPU GPU



24

System Configuration based on NVIDIA GRID Next-gen EWS Project



HPE Apollo r2200

Host

NVIDIA Tesla M60

VMware vSphere ESXi



vCenter Server

Connection Server

GRID License Server

User Profiles

Data Store

Host

Client Device


- Horizon Client

4.3




Virtual Machine

Flash (Performance)

Disk (Capacity)

OS

C Drive

Application

Desktop My

Document


Profile


Document Profile



GPU GPU



25




HPE Apollo r2200

Host

NVIDIA Tesla M60

VMware vSphere ESXi



vCenter Server

Connection Server

GRID License Server

User Profiles

Data Store

Host

Client Device


- Horizon Client

4.3




Virtual Machine

Flash (Performance)

Disk (Capacity)

OS

C Drive

Application

Desktop My

Document


Profile


Document Profile



GPU GPU



26




Resource Split ( vGPU )

Configuration VMs

/Host vCPU Memory

vGPU

Profile

HIGH 4 8

vCPUs 48GB

M60-

4Q

POWER 8 4

vCPUs 24GB

M60-

2Q

LIGHT 16 2

vCPUs 12GB

M60-

1Q

Resource usage

visualization Resource Optimization

HIGH

CAD User

( Viewing )

DPM , CAE

User

CAD User

( Modeling ) POWER

LIGHT




Results of the Next-gen EWS Project

Physical EWS

VDI EWS

by GPU Pass-through Conventional

Host

2013-15 2016-17

28

2nd Challenge

Next-gen EWS Effectiveness

VDI EWS by NVIDIA GRID

+

Resource Optimization

Resource Efficiency

Density

Resource Flexibility

Performance 200%+

Non 1 Day Reconstruct

33%+ UP

20%~40% UP

1st Challenge

Mobility

Safety

Comfotably

Data Access Speed

A lot

Noise & Heat

Anyware

Zero

Risky Safty

NW Dependency Speedy

Density 94% reduction




Nu

mb

er

of

EW

S U

se

rs

2016 2017 2020

GPU Pass-through

GRID vGPU + Possiblity by Consolidation

Engineering VDI expands WORLD WIDE for use ANY TIME, ANYWARE

Maximize VDI Users with NVIDA GRID

Physical EWS Users

Total Users

Toward the Future


Striving to Realize the Joy and Freedom

of Mobility and a Sustainable Society

where People Can Enjoy Life



One more thing…

3DS

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Announcement of

3DEXPERIENCE Support on

HPE

HPE Apollo 2000 XL190r

with VMware Horizon and ESXi,

and NVIDIA GRID and Tesla M60

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Certified Configuration for VDI Dassault Systèmes, HPE, NVIDIA and VMware

announce the support of

3DEXPERIENCE R2016x and 3DEXPERIENCE

R2017x

on the Configuration :

HPE Apollo 2000 with XL190r server platform

with NVIDIA GRID software and Tesla M60

using VMware Horizon and ESXi.

This support is effective immediately for all native

apps for: 3DEXPERIENCE Platform, CATIA,

DELMIA, ENOVIA, SIMULIA, SOLIDWORKS,

GEOVIA and BIOVIA

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Configuration/Architecture Description

Configuration Description

Certification has been run on the following

Configuration

Chassis Model: HPE Apollo 2000

Server Tray Model : ProLiant XL190r Gen9

Processor: Intel Xeon CPU E5-2667 v4

Number of Processors: 2

vGPU : NVIDIA GRID software and oneTesla M60

RAM: 256 GB

Information will be available on

https://www.3ds.com/support/

certified-hardware/

Architecture For certification purpose, 8 VMs were used

VMware Configuration

Certification has been run on the following configuration

Hypervisor: ESXI 6.0 update 2

VDI Platform: Horizon 7

Hypervisor driver: 367.64

VM Configuration:

Number of vCPU: 2

Memory size : 24 GB

vGPU Profile : M60_2Q

Guest OS : Windows 7 SP1 Enterprise

vGPU Graphic driver : 369.71

https://www.3ds.com/support/certified-hardware/





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Date post:	02-Dec-2018
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GRID Accelerated VDI for Car Design...

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