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1PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
Hiren MajmudarVP, Corporate & Business Development & Israel Country Manager
2PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
September 2019
Company Overview
3PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
SiFiveGlobal Presence and Reach
CONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
Worldwide Presence
o 15 Global Sites o 490+ employeeso 300+ tapeouts
San Mateo, CABoston, MA
Tel Aviv, Israel
Pune, India
Bangalore, India
Kaohsiung, Taiwan
Yokohama, Japan
Milpitas, CA Austin, TX
World Class Expertiseo Inventors of RISC-Vo Silicon as a Serviceo SOC IP, PD, RTL, FPGAo Verification, Validation
Shanghai, China
Beaverton, OR
Seoul, South Korea
Marseille, France
Hsinchu, Taiwan
4PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
TeamInventors, Founders, Industry Leaders
CONFIDENTIAL – COPYRIGHT 2019 SIFIVE. ALL RIGHTS RESERVED.
Shafy EltoukhySVP, GM Silicon BU
Yunsup LeeCTO
Naveed SherwaniCEO
Mohit GuptaVP, IP BU
Krste AsanovicChief Architect
Andrew WatermanChief Engineer
Hiren MajmudarVP Corp Biz Dev
Sunil ShenoySVP, GM RISC-V BU
Jeff MulhausenChief Evangelist
Thomas XuCEO, SiFive China
The SiFive Management Team combines the inventors of the RISC-V ISA with seasoned industry executives.
Brandon ChoCEO, SiFive Korea
Jack KangSVP, CX
Jay VyasCFO
Megan WachsVP Engg
Jaspi SandhuVP Sales
5PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
TimelineFrom Invention to Today
CONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
Raven-1Raven-2
Raven-3
Raven-3.5
EOS14 EOS16 EOS18 EOS20
EOS22
2011 2012 2013 2014 2015
May Apr Aug Feb Jul Sep Mar Nov
2010
May
StartedRISC-V Project
Jul Aug
2016 2017
Nov Oct
Freedom UnleashedMulticore Linux
Freedom EverywhereShipping in 60+ Countries
Started Development of RISC-V Core Generator
Foundation
2018 2019
$125M Raised
125 Design Wins
SiFive E3 in Amazfit
COPYRIGHT 2019 SIFIVE. ALL RIGHTSRESERVED.6
SiFive RISC-V Core IP Product Series
High performance 64-bit Application Cores
SBC
Networking
ConsumerOptimized High-Performance
Low Cost Linux
Industrial
GatewaysMulti-Core RISC-V Linux
Industry leading 32-bit and 64-bit Embedded Cores
Storage
Networking
AutomotiveHigh Performance Embedded
Industrial
Modems
StorageSmall, Efficient, Performance
Microcontrollers
IoT
WearablesSiFive’s Most Efficient Series S21 >125 Design wins
7PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
September 2019
The RISC-V Revolution
8PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
AcademicAdoption
CONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
• RISC-V architecture and implementation are already taught/researched at UC Berkeley, Stanford, MIT, Technion and other top universities
• The next cohorts of engineers will enter the job market knowing RISC-V
9PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
Industry and NationalAdoption
CONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
• ISA appropriate for all levels of computing systems, from MCU’s to supercomputers
• Large companies are adopting RISC-V for deeplyembedded controllers in their SoCs
• >35 silicon companies have embraced RISC-V
• NVIDIA has publicly announced that all future GPUswill use RISC-V
• Western Digital publicly announced their transitionof all 1 billion+ cores per year to RISC-V
• India has adopted RISC-V as its national ISA
• US DARPA has mandated RISC-V in recent securityproposals
10PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
RISC-V Ecosystem Momentum: Phenomenal
CONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
11PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
September 2019
Current Challenges
12
Why RISC-V, Customization and Verticalization?
Moore’s Law Has StalledGeneral-purpose CPU performance (vs. VAX-11/780)
Customization is the only way to get performance01
Innovation is desperately needed to meet the needs of new applications running on billions of devices
03
One-Chip-Fits-All no longer applies02
Time for a Paradigm Shift
13
In hardware, Minimum Viable Products (MVPs) face 3 Significant Problems
Cost
Chip Development Too Costly
$500M+ for 7nm
Time
Development Cycle Too Long
2 – 4 years
Expertise
Too Many Experts Needed
14+ Disciplines
14PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
September 2019
Industry Trends
15
Intelligence is Migrating to the Edge
AI Edge Device Shipments by Category, 2017-2025
Source: Tractica
Cloud serversEdge Compute
Regional serversEdge devices
Training +inference
Training +inference
Sensing, training, inference & actuation
AI moving from Cloud to Edge
Processing closer to data improves latency, bandwidth,energy use and reduces stress on network
16
So is the money: Investment deal flow for two specific semiconductor applications — IoT and AI/ML
Source: Pitchbook
25%
20%
15%
10%
5%
0%2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
Perc
enta
ge o
f to
tal d
eals
2.4%1.2%
2.3%
4.8%3.5%
2.6%2.8%
6.8%
13.2%
19.2%
AI/ML IoT
8.9%7.1%
10.5%
12.7%
9.2% 9.6%
12.6%
17.8%
11.5%
12.5%
17
Inference at Edge & End-points Has Been Expanding
Inference at Edge & End-points
(On-Device AI)
Low-Power, Low Cost and Low
Latency
Trade performance for cost
Compressed models to reduce
system cost and power
Reduce energy use and stress
on Network
Cloud-based Inference:
Latency, throughput, cost
Serve user requests fast and
predictably
Keep cost/user down
Cloud-based Training:
Performance, Performance, and
More Performance
Value in data models justifies high
cost & power
State of the Arch Tech, advanced
node, interconnects, cooling
18
RISC-V in Design Across Various Markets…Si
lico
n
7nmLinux & Embedded RISC V
HBM2, Interlaken2.5G Interposer
Customer IP
14/16nmLinux & Embedded RISC V
LPDDR, PCIe Gen4 100G Ethernet
Customer IP
14/16nmLinux & Embedded RISC V
LPDDR, PCIe Gen3HEVC, ISP, GPU, 1GE
Customer IP
28nm Embedded RISC V
Non Volatile MemoryEmbedded FPGA
Customer IP
MCUs& Wearables
A-IOT Edge Inference DC Training/Inference
19
The Opportunity
20
The Silicon Business is Ripe for Disruption!
Moore’s Law is stalling, and customization is the only path forward for improved performance
And yet, the hardware innovation cycle is too slow, too expensive, and require too many experts under the same roof
We are leading the charge on enabling a new era of processor innovation with a free and open instruction set architecture
RISC-V
We are simplifying the custom silicon design process by encapsulating the complexities in Templates
Custom Silicon
We are empowering Software and Systems innovators with easy access to Templates via Designers on the cloud
Verticalization
21
RISC-V ISA is ideal for Domain Specific Architecture
Legacy ISA’s Are Decades Old
RISC-V ISA is Open Source
RISC-V Unlocks the Architecture & Enables Innovation
Why RISC-V?
Source: Martin Fink, CTO, WDC
Benefits of RISC-V?
CleanSlate
DesignModular
StableSimple
Designed forExtendibility/Specialization
22
AMAZFIT Smart Watch 2 w/o ECG
AMAZFIT BIP Watch
E3 core inside
AMAZFIT Smart Watch 2 w/ ECG
RISC-V Enabled Smart Watch with Integrated AI
• Multiple AI Engines for Fitness Applications• RISC-V based Always-on Architecture • 38% better power efficiently vs. ARM Cortex-M4
23
One Size “Silicon” Does NOT Fit All
End Point Edge Cloud
Earphone Always-on IOT
Smart Phone
Access Control
AR/VR, Drones
Surveillance
Laptop,
Desktop
Industrial PC
ADAS
Edge Server,
Autonomous
Data Center
20 MOPS 500 GOPS 0.5-10 TOPS 4-20 TOPS 10-20 TOPS 10-100 TOPS 200+ TOPS
1 mW 10 mW 1-3 W 3-10 W 3-10 W 10-100 W 200+ W
10 KB 100 KB 10 MB 10-100 MB 10-100 MB 100+ MB 300+ MB
<10ms ~ 10 ms 10-50 ms 10-100 ms 10-100 ms 10-100 ms > 500ms
Y Y Y Y Y Y Y
N N Y Y Y Y Y
28nmRISC V
Non Volatile MemoryComplex Power Gating
10/12, 14/16nm RISC V
1xLPDDR x32, PCIe x1/x2ISP, GPU, 1GE
10/12, 14/16nmRISC V
4x LPDDR, PCIe x8/x1610-100G, Compression
5/7nmRISC V
HBM2, Interlaken2.5G Interposer
Power Budget
Application
Compute
Model Size
Latency
Inference
Training
SiFive Silicon Enablement
24
Why Another Model for Chip Design
Wafer Fabrication
Product Requirement &
Specification
Physical Design
Test & Prod Engineering
Package & Assembly
Architecture Analysis,RTL Design & Verification
IP Development, Selection & Integration
Board Design
FPGA & EmulationSoftware Design, Development &
Test
Post Silicon Validation &
Software Bring-up
Challenges with traditional SoC model:
1. Long IC development cycles often lead to missing opportunity window
2. Designers “re-inventing the wheel” on many aspects of chip design which are generic/standard
3. Business and Legal teams waste long periods of time over contract negotiations
Typical Cycle ~ 3 years
25PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
The SiFive Solution: Template SOCsSeptember 2019
26
How SiFive Can Enable Next Generation Computing
RISC-V CPU IPM
icro
-co
ntro
ller
up
to
Ap
plic
ati
on
Pro
cess
or
wit
h o
ne
com
mo
n IS
A
64-bit Application Processors
64-bit Embedded Processors
32-bit Embedded Processors
Ind
ust
ry’s
Bro
ad
est
RIS
C-V
CP
U P
ort
folio
Cloud-Based CSoC & Templates
Inn
ova
tive
Ch
ip D
esig
n f
or
Fast
TTM
Foundational IP
RISC-V Cores
Design Automation & Cloud resources enabling chip delivery in 12 Weeks !
Custom SoCs(Traditional ASICs)
Turn
key
Cu
sto
m S
oC
So
luti
on
s
Physical Design
Package & Assembly
IP Dev, Selection & Integration
Board Design
Software Design, Development & Test
Chip bring-up
Product Req. & Specifications
Test & Production Engineering
Wafer Fabrication
Arch. Analysis, RTL Design &
Verification
FPGA & Emulation
Post Silicon Validation
300+ Tape-outs!
27
Traditional Approach: Iterative Addition
Build individual building blocks and add them to a chip
The SiFive Approach:Iterative Subtraction to Reconfigure Cores, Blocks, and Chips
Subtract from Templates (Predesigned Supersets)
Templates
Diplomacy Protocol
Template Methodology used acrossCores, Blocks and Chips
Block Templates
Core Complex
TileLink Interconnect
HBM Controller
Core Templates
E2 Series
E3 Series
U7 Series
Chip Templates
AI accelerator
SmartNIC
IoT Hub
U54 Core Complex
Tilelink over Ethernet
Custom HBM
E20/E21
E31
U74
Custom AI Chip
Optimized NIC
Voice IoT Hub
We Simplify the Design Process by Encapsulating Complexities in Templates
28
SiFive Leverages Cloud & Templates to Accelerate Chips to Market!
World’s 1st Cloud Tape-out with Microsoft
28nm TSCM1.5GHz 5x RISC-V CoresDDR4, GE, Peripherals
…
Machine Learn-ing Segment
EdgeSegment
IoT Sensor Segment
DesignShare Partners20+ in the Pipeline….
29
All RISC-V core products are delivered via web-based GUI SiFive Core Designer
Customers can choose preset Standard Core options or create and save their own configurations
Release Candidates are generated with a single click and available in 24 hours after verification
Ultimately, all custom silicon will be delivered via web-based GUI SiFive Chip Designer
Customers can add their IPs and 3rd party IPs from DesignShare to a Chip Template of their choice
Custom SoC will be in their hands in 12 weeks with a single click
Cloud Delivery: Core Designer & Chip Designer
30
Cloud Delivery: Core Designer & Chip Designer
Core Designer
Chip Designer (Templates)
Standard CoresE21E24
Custom CoreCustomer Core 1Customer Core 2
IOT Template
Edge Compute
Computer Vision
Standard InstantiationReal SoC !
Custom InstantiationDerivatives
31
SiFive Platforms Reduce Cost and TTM for Customers
Embedded AI Platform Edge Computing & Storage Data Center Accelerator IOT
SiFive IP & Platforms
• SiFive IP Blocks for Platform Designs
– Industry’s Broadest Portfolio of RISC-V Cores & Peripherals
– Various Templates for Different Markets
– Design Share IP Partners Supplying IP blocks for Templates
– Ability to customize for differentiation
– Attractive Economics and TTM Advantage
32PageCONFIDENTIAL – COPYRIGHT 2018 SIFIVE. ALL RIGHTS RESERVED.
In SummaryOpen standards and automation is unshackling silicon innovation
Industry needs new methods to do rapid custom silicon
SiFive is leading with auto generated CPU cores, Template based cloud enabled SOC design while also supporting traditional ASIC customers
Its not too late to join RISC-V movement! Come talk to us.