SlideShare a Scribd company logo
1 of 41
Download to read offline
© Copyright 2019 Xilinx
April 15th, 2019
CCIX とXilinxの戦略
© Copyright 2019 Xilinx
>> 2
Key Drivers for Interconnect Technology
© Copyright 2019 Xilinx
CCIX Consortium Effort
Advance IO Interconnect to enable seamless expansion of compute
and memory resources beyond processor SoCs
• Accelerator SoCs to be like a NUMA node from Data Sharing perspective.
• Two Use-cases of focus
• UC1 - Virtualized, Coherent Accelerators – Seamless acceleration
• UC2 - System Memory Expansion – Memory expansion
Higher Speed and lower Latency Transport
>> 3
© Copyright 2019 Xilinx
CCIX Multichip Connectivity
˃ High performance, low latency
CCIX 1.0 defines 25GT/s (3x performance*)
Examining 32GT/s, 56GT/s (7x performance*) and beyond
Enabling low latency via light transaction layer
˃ Flexible, scalable interconnect topologies
Flexible point-to-point, daisy chained and switched topologies
˃ Seamless integration
Runs on existing PCIe transport layer and management stack
Supports all major instruction set architectures (ISA)
Processor
Accelerator
Smart
Network
Persistent
Memory
Switch
>> 4
* Comparison vs PCIe Gen3
© Copyright 2019 Xilinx
>> 5
© Copyright 2019 Xilinx
ARM Neoverse
>> 6
プレスリリース (2019年2月21日)
ケイデンス、Armの新しいNeoverse N1 プラット
フォーム向けにEDAツールおよびIPを最適化
https://www.nikkei.com/article/DGXLRSP503227_R20C19A2000000/
https://www.anandtech.com/show/13959/arm-announces-neoverse-n1-platform/7
Arm Announces Neoverse N1 & E1 Platforms & CPUs:
Enabling A Huge Jump In Infrastructure Performance
© Copyright 2019 Xilinx
Huawei Kunpeng 920
>> 7
Huawei Kunpeng 920 64-Core Arm Server CPU with CCIX and PCIe Gen4 Launched
(January 7, 2019)
Today Huawei announced a new 64-Core Arm Server CPU. The Huawei Kunpeng 920 is being billed as the fastest Arm
CPU to date. One thing is for sure, there is going to be interest in this CPU not just for the 64 custom Arm cores, but also
the I/O that the chip has onboard.
Beyond the CPU cores and 8 channel DDR4-2933 memory controller, the company is also introducing PCIe Gen4 and
CCIX support.
© Copyright 2019 Xilinx
Use Case 1: Virtualized, Coherent Accelerators
˃ Reduced data transfer latency
˃ Improved fine grain data sharing
˃ Simplified software dev., eliminates
difficult debug issues
˃ Seamless offload of threads from general-
purpose processors to accelerators
Preserves shared data-structures
between the host and accelerator
No need to re-architect any shared data
structures
Improved efficiency with true
peer-processing
>> 8
© Copyright 2019 Xilinx
Use Case 2: Memory Expansion
˃ Multiple use cases evolving for external interconnect attached memory
Larger DRAM/SCM capacity with-in a “box”
LD/ST to remote memory via bridging to a scale-out fabric
Opportunity for value-add functionality via external card solutions for remote memory
Over time there is need for choices in the scale-out fabric for carrying native LD/ST
Supports Memory Atomics over CCIX interface
>> 9
© Copyright 2019 Xilinx
CCIX Roadmap
˃ CCIX 1.1
Supports 32GT/s, can use PCIe Gen5 switch for fan-out and other CCIX topologies.
Protocol enhancements to increase performance and reduce latency further
˃ CCIX 2.0
Expands Seamless coherent data sharing and load/store access to across Multiple Nodes
Supports 56GT/s and higher
>> 10
© Copyright 2019 Xilinx
Hardware Architecture
© Copyright 2019 Xilinx
CCIX Layered Architecture
Protocol Layer
• Coherency protocol, memory read & write flows
• Full feature protocol
• Port aggregation for higher BW
Link Layer
• Formats CCIX messages for target transport
• Adds ability to pack and chain multiple
messages to achieve higher efficiency
Transaction Layer
• Adds optimized packets, manages credit based
flow control
Physical Layer
• Dual mode PHY to support extended data rates
PCIe Transaction
LayerCCIX
Transaction Layer
PCIe Data Link Layer
CCIX/PCIe Physical Layer
Tx Rx
PCIe TLPsCCIX messages
CCIX Port
(CCIX Link Layer)
CCIX
Protocol Layer
>> 12
© Copyright 2019 Xilinx
CCIX coherency layer architecture model
>> 13
© Copyright 2019 Xilinx
System Topology Examples
Accelerator
CCIX
Switc
h
Processor
CCIX
Processor
CCIX
Memory
CCIX
Memory
CCIX
Processor
CCIX
Accelerator
CCIX
Processor
CCIX
Accel
CCIX
CCIX
CCIX
CCIX
Accel
CCIX
CCIX
CCIX
CCIX
Accel
CCIX
CCIX
CCIX
CCIX
Accel
CCIX
CCIX
CCIX
CCIX
Processor
CCIX
Processor
PCIe
Accel
CCIX
CCIX
CCIX
PCIe
Accel
CCIX
CCIX
CCIX
PCIe
Accel
CCIX
CCIX
CCIX
CCIX
Accel
CCIX
CCIX
CCIX
CCIX
Processor
PCIe
Direct attached, daisy chain, mesh and switched topologies
>> 14
© Copyright 2019 Xilinx
Software Architecture
© Copyright 2019 Xilinx
Towards a True Driverless Model
>> 16
© Copyright 2019 Xilinx
>> 17
© Copyright 2019 Xilinx
CCIX Consortium SW activities
>> 18
© Copyright 2019 Xilinx
Successful Hardware Demos
>> 19
https://www.ccixconsortium.com/library/video/
© Copyright 2019 Xilinx
Xilinx CCIX Solution
© Copyright 2019 Xilinx
Xilinx Product Families: A Broad Portfolio
Mid-Range High-End
Price/Performance/WattLowest Power & Cost
Cost-Optimized
Performance & Capacity
SoC Portfolio
Mid-Range → High-EndCost-Optimized → Mid-Range
Zynq-7000
>> 21
© Copyright 2019 Xilinx
Xilinx Devices with CCIX Support
22
© Copyright 2019 Xilinx
Obtaining Superior Bandwidth-per-Watt
DDR-4 DIMM
Standard commodity
memory used in
Servers and PC’s.
Bandwidth 21.3 GB/s
Depth 16 GB
Price / GB $
PCB Req High
pJ / bit ~27
Latency Med
HMC
Hybrid-Memory Cube
Serial DRAM
Bandwidth 160 GB/s
Depth 4 GB
Cost / GB $$$
PCB Req Med
pJ / bit ~30
Latency High
Bandwidth 12.8 GB/s
Depth 2 GB
Cost / GB $$
PCB Req High
pJ / bit ~40
Latency Low
Bandwidth 460 GB/s
Depth 8 GB
Cost / GB $$
PCB Req None
pJ / bit ~7
Latency Med
RLDRAM-3
Low Latency DRAM
for packet buffering
applications
HBM
High Bandwidth Memory
DRAM integrated into the
FPGA package
* Single DDR4 DIMM * Two x36 RLDRAM-3 * Single HMC Device * Single FPGA with HBM
>> 23
© Copyright 2019 Xilinx
HBM 搭載 Virtex UltraScale+ デバイスを発表
DDR4 DIMM の 20 倍の帯域幅を実現
SSI テクノロジを使用して
DRAM スタックを統合
HBM への専用インター
フェイスをハード化して
最大限の帯域幅を確保
実績ある Virtex UltraScale+ FPGA
プラットフォームがベース
メモリ コントローラーは
AXI インターフェイスを
使用しており Vivado IPI で
容易に統合可能
現在最高の DRAM 帯域幅を
提供する HBM Gen2
ハード化した CCIX
(Cache Coherent
Interconnect) ポート
https://www.xilinx.com/products/technology/memory.html
>> 24
© Copyright 2019 Xilinx
Virtex® UltraScale+™ HBM FPGAs
Device Name VU31P VU33P VU35P VU37P
Logic
System Logic Cells (K) 970 970 1,915 2,860
CLB Flip-Flops (K) 887 887 1,751 2,615
CLB LUTs (K) 444 444 876 1,308
Memory
Max. Distributed RAM (Mb) 12.5 12.5 24.6 36.7
Total Block RAM (Mb) 23.6 23.6 47.3 70.9
UltraRAM (Mb) 90 90 180 270
HBM DRAM (Gb) 32 64 64 64
HBM AXI Ports 32 32 32 32
Clocking Clock Management Tiles (CMTs) 4 4 8 12
Integrated IP
DSP Slices 2,880 2,880 5,952 9,024
PCIe® Gen3 x16 / Gen4 x8 4 4 5 6
CCIX Ports(2) 4 4 4 4
150G Interlaken 0 0 2 4
100G Ethernet w/ RS-FEC 2 2 5 8
I/O
Max. Single-Ended HP I/Os 208 208 416 624
GTY 32.75Gb/s Transceivers 32 32 64 96
Speed Grades Extended(1)
-1, -2L, -3 -1, -2L, -3 -1, -2L, -3 -1, -2L, -3
Footprint(1)
Dimensions (mm) HP I/O, GTY 32.75Gb/s
Packaging
H1924 45x45 208, 32
H2104 47.5x47.5 208, 32 416, 64
H2892 55x55 416, 64 624, 96
Notes:
1. All packages are 1.0mm ball pitch.
2. A CCIX port requires the use of a PCIe Gen3 x16 / Gen4 x8 block>> 25
© Copyright 2019 Xilinx
Virtex UltraScale+ HBM VCU128 FPGA Evaluation Kit
Key Features & Benefits
˃ 8GB of on-chip High Bandwidth Memory (HBM)
˃ Multiple external memory interfaces
(RLDRAM3, QDR-IV, DDR4)
˃ Quad 32Gbps QSFP28 Interfaces
˃ PCIe Gen3 x16 & Gen4 x8
˃ VITA 57.4 FMC+ Interface
>> 26
https://www.xilinx.com/products/boards-and-kits/vcu128-es1.html#overview
© Copyright 2019 Xilinx
*Low-latency GoogLeNet v1
U250
38TB/s
内部SRAM
帯域幅
54MB
内部SRAM
容量
1,341K
LUTs
4100img/s
CNN スループット*
U280
30TB/s
内部SRAM
帯域幅
41MB
内部SRAM
容量
1,079K
LUTs
460GB/s
HBM2メモリ帯域幅
U200
31TB/s
内部SRAM
帯域幅
35MB
内部SRAM
容量
892K
LUTs
3100img/s
CNN スループット*
© Copyright 2019 Xilinx
Alveo Data Center Accelerator Cards
>> 28
© Copyright 2018 Xilinx
Database
Search & Analysis
90 x Finance
Computing
89 x
Machine Learning
20 x Video
12 x HPC &
Life Science
10 x
Fastest Accelerator Cards for Data Center
and AI
29
© Copyright 2018 Xilinx
Alveo vs other solutions
CPU x20, GPU (V100) x 4.7 Throughput
>> 30
Alveo U250
CPU (vCPU x 72)
x20
GPU V100
x4.7
Ref; WP504
© Copyright 2018 Xilinx
Ref; WP504GPU (V100) x 4 Power Efficiency
>> 31
Alveo U250
GPU V100
x4
Alveo vs other solutions
© Copyright 2018 Xilinx
1/3 Latency vs GPU
>> 32
0 5 10 15 20 25 30 35 40 45 50
CPU+ Alveo
CPU+ GPU
CNN+BLSTM Speech-to-Text Latency (ms)
FPGA Latency is less than 1/3 of GPU
Significantly short & stable latency than GPU
GPU; NVIDIA P4
© Copyright 2018 Xilinx
Ext. Memory
Network
Processor
Ext. Memory
GPU
Ext.Memory
Processor
Ext. Memory
FPGA
Ext.Memory
Processor
Network Interface Card
(NIC)
GPU Accelerator
FPGA Smart NICServer CPU
Server CPU
Latency = msec Latency = 1/10,000 msec (order of nsec)
Sensor
Market info.
Actuator
Transactions
Network processing
- TCP/IP, TLS, OVS
Computation for
making decision faster
Faster outputs
Smart NIC settings
Log data
Sensor
Market info.
Actuator
Transactions
Network
Network
Much lower latency and power
consumption
Most Effective for Latency Critical use cases
Data
Outputs
Data
Outputs
>> 33
© Copyright 2018 Xilinx
Data Center Accelaration Platform
Computing Storage Network
Accelerator Cards
Compute Shell
Firmware & Runtime
Storage Shell
Firmware & Runtime
Network Shell
Firmware & Runtime
CompressionML Video KVS
SDN / NFVROCE Openstack
Hardware
Firmware
Library
Middleware
Software
Framework
IDE
F r a m e w o r k , A P I , P y t h o n / J a v a / C + + P r o g r a m m a b i l i t y
. . .
. . . Crypto OVS. . .
. . . . . .
. . .
TensorFlow FFMpeg NVMe-OF
7nm Versal
ACAP
16nm FPGA 16nm MPSoC
>> 34
© Copyright 2018 Xilinx
C
Applications in total
C
Compression
C
Video
C
Security
C
Life Science
C
Finacial Computing
C
Image Processing
C
Data Analytics
C
ML
C
Tools
Applications and eco-partners
https://japan.xilinx.com/products/design-tools/acceleration-zone.html#libraries
15 50
2017 2018
>> 35
© Copyright 2019 Xilinx
Zynq UltraScale+ RFSoC
>> 36
© Copyright 2018 Xilinx
AI コア
シリーズ
プライム
シリーズ
>> 37
© Copyright 2019 Xilinx
VersalTM ACAP AI Core Series
>> 38
© Copyright 2019 Xilinx>> 39
VersalTM ACAP Prime Series
© Copyright 2019 Xilinx
Summary
˃ CCIX enables broader use of acceleration technologies
˃ CCIX Base specification is available
˃ CCIX is supported by broad eco-system-both host and accelerator devices in under
development with ES becoming available in near future
˃ Active work underway to enable SW eco-system and showcase use cases
˃ Go to www.ccixconsortium.com for learn more about CCIX and to join CCIX eco-
system.
>> 40
https://twitter.com/ccixconsortium https://twitter.com/XilinxJapan
© Copyright 2019 Xilinx
Adaptable.
Intelligent.

More Related Content

What's hot

Evaluating UCIe based multi-die SoC to meet timing and power
Evaluating UCIe based multi-die SoC to meet timing and power Evaluating UCIe based multi-die SoC to meet timing and power
Evaluating UCIe based multi-die SoC to meet timing and power
Deepak Shankar
 
NVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October SummaryNVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October Summary
NVIDIA
 
“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...
“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...
“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...
Edge AI and Vision Alliance
 

What's hot (20)

AMD Ryzen
AMD RyzenAMD Ryzen
AMD Ryzen
 
Developing for the Connected Car
Developing for the Connected CarDeveloping for the Connected Car
Developing for the Connected Car
 
Snapdragon Processor
Snapdragon ProcessorSnapdragon Processor
Snapdragon Processor
 
Evaluating UCIe based multi-die SoC to meet timing and power
Evaluating UCIe based multi-die SoC to meet timing and power Evaluating UCIe based multi-die SoC to meet timing and power
Evaluating UCIe based multi-die SoC to meet timing and power
 
GTC 2019 Keynote in Silicon Valley
GTC 2019 Keynote in Silicon ValleyGTC 2019 Keynote in Silicon Valley
GTC 2019 Keynote in Silicon Valley
 
AI Hardware Landscape 2021
AI Hardware Landscape 2021AI Hardware Landscape 2021
AI Hardware Landscape 2021
 
Delivering a new level of visual performance in an SoC AMD "Raven Ridge" APU
Delivering a new level of visual performance in an SoC AMD "Raven Ridge" APUDelivering a new level of visual performance in an SoC AMD "Raven Ridge" APU
Delivering a new level of visual performance in an SoC AMD "Raven Ridge" APU
 
NVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October SummaryNVIDIA GTC 2020 October Summary
NVIDIA GTC 2020 October Summary
 
Asterisk Complete Training
Asterisk Complete TrainingAsterisk Complete Training
Asterisk Complete Training
 
“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...
“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...
“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a P...
 
"The Xilinx AI Engine: High Performance with Future-proof Architecture Adapta...
"The Xilinx AI Engine: High Performance with Future-proof Architecture Adapta..."The Xilinx AI Engine: High Performance with Future-proof Architecture Adapta...
"The Xilinx AI Engine: High Performance with Future-proof Architecture Adapta...
 
AMD Processor
AMD ProcessorAMD Processor
AMD Processor
 
GTC 2022 Keynote
GTC 2022 KeynoteGTC 2022 Keynote
GTC 2022 Keynote
 
Advanced Encryption Standard (AES)
Advanced Encryption Standard (AES)Advanced Encryption Standard (AES)
Advanced Encryption Standard (AES)
 
“Zen 3”: AMD 2nd Generation 7nm x86-64 Microprocessor Core
“Zen 3”: AMD 2nd Generation 7nm x86-64 Microprocessor Core“Zen 3”: AMD 2nd Generation 7nm x86-64 Microprocessor Core
“Zen 3”: AMD 2nd Generation 7nm x86-64 Microprocessor Core
 
Vivante GC Nano User Interface (UI) White Paper
Vivante GC Nano User Interface (UI) White PaperVivante GC Nano User Interface (UI) White Paper
Vivante GC Nano User Interface (UI) White Paper
 
RISC-V Introduction
RISC-V IntroductionRISC-V Introduction
RISC-V Introduction
 
RISC-V: The Open Era of Computing
RISC-V: The Open Era of ComputingRISC-V: The Open Era of Computing
RISC-V: The Open Era of Computing
 
mobile processors introduction..
mobile processors introduction..mobile processors introduction..
mobile processors introduction..
 
DDR, GDDR, HBM Memory : Presentation
DDR, GDDR, HBM Memory : PresentationDDR, GDDR, HBM Memory : Presentation
DDR, GDDR, HBM Memory : Presentation
 

Similar to Xilinx Data Center Strategy and CCIX

HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...
HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...
HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...
Linaro
 
Advanced Networking: The Critical Path for HPC, Cloud, Machine Learning and more
Advanced Networking: The Critical Path for HPC, Cloud, Machine Learning and moreAdvanced Networking: The Critical Path for HPC, Cloud, Machine Learning and more
Advanced Networking: The Critical Path for HPC, Cloud, Machine Learning and more
inside-BigData.com
 

Similar to Xilinx Data Center Strategy and CCIX (20)

Optimize Content Delivery with Multi-Access Edge Computing
Optimize Content Delivery with Multi-Access Edge ComputingOptimize Content Delivery with Multi-Access Edge Computing
Optimize Content Delivery with Multi-Access Edge Computing
 
Xilinx Edge Compute using Power 9 /OpenPOWER systems
Xilinx Edge Compute using Power 9 /OpenPOWER systemsXilinx Edge Compute using Power 9 /OpenPOWER systems
Xilinx Edge Compute using Power 9 /OpenPOWER systems
 
HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...
HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...
HKG18-300K2 - Keynote: Tomas Evensen - All Programmable SoCs? – Platforms to ...
 
HiPEAC 2022-DL4IoT workshop_René Griessl presentation
HiPEAC 2022-DL4IoT workshop_René Griessl presentationHiPEAC 2022-DL4IoT workshop_René Griessl presentation
HiPEAC 2022-DL4IoT workshop_René Griessl presentation
 
PCIe Gen 3.0 Presentation @ 4th FPGA Camp
PCIe Gen 3.0 Presentation @ 4th FPGA CampPCIe Gen 3.0 Presentation @ 4th FPGA Camp
PCIe Gen 3.0 Presentation @ 4th FPGA Camp
 
Harnessing the virtual realm for successful real world artificial intelligence
Harnessing the virtual realm for successful real world artificial intelligenceHarnessing the virtual realm for successful real world artificial intelligence
Harnessing the virtual realm for successful real world artificial intelligence
 
Advanced Networking: The Critical Path for HPC, Cloud, Machine Learning and more
Advanced Networking: The Critical Path for HPC, Cloud, Machine Learning and moreAdvanced Networking: The Critical Path for HPC, Cloud, Machine Learning and more
Advanced Networking: The Critical Path for HPC, Cloud, Machine Learning and more
 
Presentation citrix internals ica connectivity
Presentation   citrix internals ica connectivityPresentation   citrix internals ica connectivity
Presentation citrix internals ica connectivity
 
Citrix Internals: ICA Connectivity
Citrix Internals: ICA ConnectivityCitrix Internals: ICA Connectivity
Citrix Internals: ICA Connectivity
 
HiPEAC-CSW 2022_Kevin Mika presentation
HiPEAC-CSW 2022_Kevin Mika presentationHiPEAC-CSW 2022_Kevin Mika presentation
HiPEAC-CSW 2022_Kevin Mika presentation
 
Disaggregation a Primer: Optimizing design for Edge Cloud & Bare Metal applic...
Disaggregation a Primer: Optimizing design for Edge Cloud & Bare Metal applic...Disaggregation a Primer: Optimizing design for Edge Cloud & Bare Metal applic...
Disaggregation a Primer: Optimizing design for Edge Cloud & Bare Metal applic...
 
VEDLIoT at FPL'23_Accelerators for Heterogenous Computing in AIoT
VEDLIoT at FPL'23_Accelerators for Heterogenous Computing in AIoTVEDLIoT at FPL'23_Accelerators for Heterogenous Computing in AIoT
VEDLIoT at FPL'23_Accelerators for Heterogenous Computing in AIoT
 
組み込みから HPC まで ARM コアで実現するエコシステム
組み込みから HPC まで ARM コアで実現するエコシステム組み込みから HPC まで ARM コアで実現するエコシステム
組み込みから HPC まで ARM コアで実現するエコシステム
 
Mellanox OpenPOWER features
Mellanox OpenPOWER featuresMellanox OpenPOWER features
Mellanox OpenPOWER features
 
Data Plane Evolution: Towards Openness and Flexibility
Data Plane Evolution: Towards Openness and FlexibilityData Plane Evolution: Towards Openness and Flexibility
Data Plane Evolution: Towards Openness and Flexibility
 
LEGaTO Heterogeneous Hardware
LEGaTO Heterogeneous HardwareLEGaTO Heterogeneous Hardware
LEGaTO Heterogeneous Hardware
 
Gain Insight and Programmability with Cisco DC Networking
Gain Insight and Programmability with Cisco DC NetworkingGain Insight and Programmability with Cisco DC Networking
Gain Insight and Programmability with Cisco DC Networking
 
Cisco DC Networking: Gain Insight and Programmability with
Cisco DC Networking: Gain Insight and Programmability with Cisco DC Networking: Gain Insight and Programmability with
Cisco DC Networking: Gain Insight and Programmability with
 
Gain Insight and Programmability with Cisco DC Networking
Gain Insight and Programmability with Cisco DC NetworkingGain Insight and Programmability with Cisco DC Networking
Gain Insight and Programmability with Cisco DC Networking
 
Supermicro AI Pod that’s Super Simple, Super Scalable, and Super Affordable
Supermicro AI Pod that’s Super Simple, Super Scalable, and Super AffordableSupermicro AI Pod that’s Super Simple, Super Scalable, and Super Affordable
Supermicro AI Pod that’s Super Simple, Super Scalable, and Super Affordable
 

Recently uploaded

CHEAP Call Girls in Ashok Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Ashok Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Ashok Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Ashok Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...
amitlee9823
 
怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证
怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证
怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证
tufbav
 
Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝
Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝
Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
CHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
9953056974 Low Rate Call Girls In Saket, Delhi NCR
 
Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...
Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...
Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...
Naicy mandal
 
Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
amitlee9823
 
Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...
Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...
Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...
amitlee9823
 
➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men 🔝kakinada🔝 Escor...
➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men  🔝kakinada🔝   Escor...➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men  🔝kakinada🔝   Escor...
➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men 🔝kakinada🔝 Escor...
amitlee9823
 

Recently uploaded (20)

CHEAP Call Girls in Ashok Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Ashok Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Ashok Nagar  (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Ashok Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...
Vip Mumbai Call Girls Kalyan Call On 9920725232 With Body to body massage wit...
 
怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证
怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证
怎样办理斯威本科技大学毕业证(SUT毕业证书)成绩单留信认证
 
Top Rated Pune Call Girls Katraj ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...
Top Rated  Pune Call Girls Katraj ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...Top Rated  Pune Call Girls Katraj ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...
Top Rated Pune Call Girls Katraj ⟟ 6297143586 ⟟ Call Me For Genuine Sex Serv...
 
HLH PPT.ppt very important topic to discuss
HLH PPT.ppt very important topic to discussHLH PPT.ppt very important topic to discuss
HLH PPT.ppt very important topic to discuss
 
Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝
Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝
Call Now ≽ 9953056974 ≼🔝 Call Girls In Yusuf Sarai ≼🔝 Delhi door step delevry≼🔝
 
CHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Vinay Nagar (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
(INDIRA) Call Girl Napur Call Now 8617697112 Napur Escorts 24x7
(INDIRA) Call Girl Napur Call Now 8617697112 Napur Escorts 24x7(INDIRA) Call Girl Napur Call Now 8617697112 Napur Escorts 24x7
(INDIRA) Call Girl Napur Call Now 8617697112 Napur Escorts 24x7
 
Call Girls Kothrud Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Kothrud Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Kothrud Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Kothrud Call Me 7737669865 Budget Friendly No Advance Booking
 
Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...
Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...
Makarba ( Call Girls ) Ahmedabad ✔ 6297143586 ✔ Hot Model With Sexy Bhabi Rea...
 
Top Rated Pune Call Girls Ravet ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
Top Rated  Pune Call Girls Ravet ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...Top Rated  Pune Call Girls Ravet ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
Top Rated Pune Call Girls Ravet ⟟ 6297143586 ⟟ Call Me For Genuine Sex Servi...
 
Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Bommasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
NO1 Verified Amil Baba In Karachi Kala Jadu In Karachi Amil baba In Karachi A...
NO1 Verified Amil Baba In Karachi Kala Jadu In Karachi Amil baba In Karachi A...NO1 Verified Amil Baba In Karachi Kala Jadu In Karachi Amil baba In Karachi A...
NO1 Verified Amil Baba In Karachi Kala Jadu In Karachi Amil baba In Karachi A...
 
Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...
Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...
Kothanur Call Girls Service: 🍓 7737669865 🍓 High Profile Model Escorts | Bang...
 
Call Girls in Vashi Escorts Services - 7738631006
Call Girls in Vashi Escorts Services - 7738631006Call Girls in Vashi Escorts Services - 7738631006
Call Girls in Vashi Escorts Services - 7738631006
 
9892124323 Pooja Nehwal Call Girls Services Call Girls service in Santacruz A...
9892124323 Pooja Nehwal Call Girls Services Call Girls service in Santacruz A...9892124323 Pooja Nehwal Call Girls Services Call Girls service in Santacruz A...
9892124323 Pooja Nehwal Call Girls Services Call Girls service in Santacruz A...
 
(ISHITA) Call Girls Service Aurangabad Call Now 8617697112 Aurangabad Escorts...
(ISHITA) Call Girls Service Aurangabad Call Now 8617697112 Aurangabad Escorts...(ISHITA) Call Girls Service Aurangabad Call Now 8617697112 Aurangabad Escorts...
(ISHITA) Call Girls Service Aurangabad Call Now 8617697112 Aurangabad Escorts...
 
Sector 18, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 18, Noida Call girls :8448380779 Model Escorts | 100% verifiedSector 18, Noida Call girls :8448380779 Model Escorts | 100% verified
Sector 18, Noida Call girls :8448380779 Model Escorts | 100% verified
 
Pooja 9892124323, Call girls Services and Mumbai Escort Service Near Hotel Th...
Pooja 9892124323, Call girls Services and Mumbai Escort Service Near Hotel Th...Pooja 9892124323, Call girls Services and Mumbai Escort Service Near Hotel Th...
Pooja 9892124323, Call girls Services and Mumbai Escort Service Near Hotel Th...
 
➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men 🔝kakinada🔝 Escor...
➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men  🔝kakinada🔝   Escor...➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men  🔝kakinada🔝   Escor...
➥🔝 7737669865 🔝▻ kakinada Call-girls in Women Seeking Men 🔝kakinada🔝 Escor...
 

Xilinx Data Center Strategy and CCIX

  • 1. © Copyright 2019 Xilinx April 15th, 2019 CCIX とXilinxの戦略
  • 2. © Copyright 2019 Xilinx >> 2 Key Drivers for Interconnect Technology
  • 3. © Copyright 2019 Xilinx CCIX Consortium Effort Advance IO Interconnect to enable seamless expansion of compute and memory resources beyond processor SoCs • Accelerator SoCs to be like a NUMA node from Data Sharing perspective. • Two Use-cases of focus • UC1 - Virtualized, Coherent Accelerators – Seamless acceleration • UC2 - System Memory Expansion – Memory expansion Higher Speed and lower Latency Transport >> 3
  • 4. © Copyright 2019 Xilinx CCIX Multichip Connectivity ˃ High performance, low latency CCIX 1.0 defines 25GT/s (3x performance*) Examining 32GT/s, 56GT/s (7x performance*) and beyond Enabling low latency via light transaction layer ˃ Flexible, scalable interconnect topologies Flexible point-to-point, daisy chained and switched topologies ˃ Seamless integration Runs on existing PCIe transport layer and management stack Supports all major instruction set architectures (ISA) Processor Accelerator Smart Network Persistent Memory Switch >> 4 * Comparison vs PCIe Gen3
  • 5. © Copyright 2019 Xilinx >> 5
  • 6. © Copyright 2019 Xilinx ARM Neoverse >> 6 プレスリリース (2019年2月21日) ケイデンス、Armの新しいNeoverse N1 プラット フォーム向けにEDAツールおよびIPを最適化 https://www.nikkei.com/article/DGXLRSP503227_R20C19A2000000/ https://www.anandtech.com/show/13959/arm-announces-neoverse-n1-platform/7 Arm Announces Neoverse N1 & E1 Platforms & CPUs: Enabling A Huge Jump In Infrastructure Performance
  • 7. © Copyright 2019 Xilinx Huawei Kunpeng 920 >> 7 Huawei Kunpeng 920 64-Core Arm Server CPU with CCIX and PCIe Gen4 Launched (January 7, 2019) Today Huawei announced a new 64-Core Arm Server CPU. The Huawei Kunpeng 920 is being billed as the fastest Arm CPU to date. One thing is for sure, there is going to be interest in this CPU not just for the 64 custom Arm cores, but also the I/O that the chip has onboard. Beyond the CPU cores and 8 channel DDR4-2933 memory controller, the company is also introducing PCIe Gen4 and CCIX support.
  • 8. © Copyright 2019 Xilinx Use Case 1: Virtualized, Coherent Accelerators ˃ Reduced data transfer latency ˃ Improved fine grain data sharing ˃ Simplified software dev., eliminates difficult debug issues ˃ Seamless offload of threads from general- purpose processors to accelerators Preserves shared data-structures between the host and accelerator No need to re-architect any shared data structures Improved efficiency with true peer-processing >> 8
  • 9. © Copyright 2019 Xilinx Use Case 2: Memory Expansion ˃ Multiple use cases evolving for external interconnect attached memory Larger DRAM/SCM capacity with-in a “box” LD/ST to remote memory via bridging to a scale-out fabric Opportunity for value-add functionality via external card solutions for remote memory Over time there is need for choices in the scale-out fabric for carrying native LD/ST Supports Memory Atomics over CCIX interface >> 9
  • 10. © Copyright 2019 Xilinx CCIX Roadmap ˃ CCIX 1.1 Supports 32GT/s, can use PCIe Gen5 switch for fan-out and other CCIX topologies. Protocol enhancements to increase performance and reduce latency further ˃ CCIX 2.0 Expands Seamless coherent data sharing and load/store access to across Multiple Nodes Supports 56GT/s and higher >> 10
  • 11. © Copyright 2019 Xilinx Hardware Architecture
  • 12. © Copyright 2019 Xilinx CCIX Layered Architecture Protocol Layer • Coherency protocol, memory read & write flows • Full feature protocol • Port aggregation for higher BW Link Layer • Formats CCIX messages for target transport • Adds ability to pack and chain multiple messages to achieve higher efficiency Transaction Layer • Adds optimized packets, manages credit based flow control Physical Layer • Dual mode PHY to support extended data rates PCIe Transaction LayerCCIX Transaction Layer PCIe Data Link Layer CCIX/PCIe Physical Layer Tx Rx PCIe TLPsCCIX messages CCIX Port (CCIX Link Layer) CCIX Protocol Layer >> 12
  • 13. © Copyright 2019 Xilinx CCIX coherency layer architecture model >> 13
  • 14. © Copyright 2019 Xilinx System Topology Examples Accelerator CCIX Switc h Processor CCIX Processor CCIX Memory CCIX Memory CCIX Processor CCIX Accelerator CCIX Processor CCIX Accel CCIX CCIX CCIX CCIX Accel CCIX CCIX CCIX CCIX Accel CCIX CCIX CCIX CCIX Accel CCIX CCIX CCIX CCIX Processor CCIX Processor PCIe Accel CCIX CCIX CCIX PCIe Accel CCIX CCIX CCIX PCIe Accel CCIX CCIX CCIX CCIX Accel CCIX CCIX CCIX CCIX Processor PCIe Direct attached, daisy chain, mesh and switched topologies >> 14
  • 15. © Copyright 2019 Xilinx Software Architecture
  • 16. © Copyright 2019 Xilinx Towards a True Driverless Model >> 16
  • 17. © Copyright 2019 Xilinx >> 17
  • 18. © Copyright 2019 Xilinx CCIX Consortium SW activities >> 18
  • 19. © Copyright 2019 Xilinx Successful Hardware Demos >> 19 https://www.ccixconsortium.com/library/video/
  • 20. © Copyright 2019 Xilinx Xilinx CCIX Solution
  • 21. © Copyright 2019 Xilinx Xilinx Product Families: A Broad Portfolio Mid-Range High-End Price/Performance/WattLowest Power & Cost Cost-Optimized Performance & Capacity SoC Portfolio Mid-Range → High-EndCost-Optimized → Mid-Range Zynq-7000 >> 21
  • 22. © Copyright 2019 Xilinx Xilinx Devices with CCIX Support 22
  • 23. © Copyright 2019 Xilinx Obtaining Superior Bandwidth-per-Watt DDR-4 DIMM Standard commodity memory used in Servers and PC’s. Bandwidth 21.3 GB/s Depth 16 GB Price / GB $ PCB Req High pJ / bit ~27 Latency Med HMC Hybrid-Memory Cube Serial DRAM Bandwidth 160 GB/s Depth 4 GB Cost / GB $$$ PCB Req Med pJ / bit ~30 Latency High Bandwidth 12.8 GB/s Depth 2 GB Cost / GB $$ PCB Req High pJ / bit ~40 Latency Low Bandwidth 460 GB/s Depth 8 GB Cost / GB $$ PCB Req None pJ / bit ~7 Latency Med RLDRAM-3 Low Latency DRAM for packet buffering applications HBM High Bandwidth Memory DRAM integrated into the FPGA package * Single DDR4 DIMM * Two x36 RLDRAM-3 * Single HMC Device * Single FPGA with HBM >> 23
  • 24. © Copyright 2019 Xilinx HBM 搭載 Virtex UltraScale+ デバイスを発表 DDR4 DIMM の 20 倍の帯域幅を実現 SSI テクノロジを使用して DRAM スタックを統合 HBM への専用インター フェイスをハード化して 最大限の帯域幅を確保 実績ある Virtex UltraScale+ FPGA プラットフォームがベース メモリ コントローラーは AXI インターフェイスを 使用しており Vivado IPI で 容易に統合可能 現在最高の DRAM 帯域幅を 提供する HBM Gen2 ハード化した CCIX (Cache Coherent Interconnect) ポート https://www.xilinx.com/products/technology/memory.html >> 24
  • 25. © Copyright 2019 Xilinx Virtex® UltraScale+™ HBM FPGAs Device Name VU31P VU33P VU35P VU37P Logic System Logic Cells (K) 970 970 1,915 2,860 CLB Flip-Flops (K) 887 887 1,751 2,615 CLB LUTs (K) 444 444 876 1,308 Memory Max. Distributed RAM (Mb) 12.5 12.5 24.6 36.7 Total Block RAM (Mb) 23.6 23.6 47.3 70.9 UltraRAM (Mb) 90 90 180 270 HBM DRAM (Gb) 32 64 64 64 HBM AXI Ports 32 32 32 32 Clocking Clock Management Tiles (CMTs) 4 4 8 12 Integrated IP DSP Slices 2,880 2,880 5,952 9,024 PCIe® Gen3 x16 / Gen4 x8 4 4 5 6 CCIX Ports(2) 4 4 4 4 150G Interlaken 0 0 2 4 100G Ethernet w/ RS-FEC 2 2 5 8 I/O Max. Single-Ended HP I/Os 208 208 416 624 GTY 32.75Gb/s Transceivers 32 32 64 96 Speed Grades Extended(1) -1, -2L, -3 -1, -2L, -3 -1, -2L, -3 -1, -2L, -3 Footprint(1) Dimensions (mm) HP I/O, GTY 32.75Gb/s Packaging H1924 45x45 208, 32 H2104 47.5x47.5 208, 32 416, 64 H2892 55x55 416, 64 624, 96 Notes: 1. All packages are 1.0mm ball pitch. 2. A CCIX port requires the use of a PCIe Gen3 x16 / Gen4 x8 block>> 25
  • 26. © Copyright 2019 Xilinx Virtex UltraScale+ HBM VCU128 FPGA Evaluation Kit Key Features & Benefits ˃ 8GB of on-chip High Bandwidth Memory (HBM) ˃ Multiple external memory interfaces (RLDRAM3, QDR-IV, DDR4) ˃ Quad 32Gbps QSFP28 Interfaces ˃ PCIe Gen3 x16 & Gen4 x8 ˃ VITA 57.4 FMC+ Interface >> 26 https://www.xilinx.com/products/boards-and-kits/vcu128-es1.html#overview
  • 27. © Copyright 2019 Xilinx *Low-latency GoogLeNet v1 U250 38TB/s 内部SRAM 帯域幅 54MB 内部SRAM 容量 1,341K LUTs 4100img/s CNN スループット* U280 30TB/s 内部SRAM 帯域幅 41MB 内部SRAM 容量 1,079K LUTs 460GB/s HBM2メモリ帯域幅 U200 31TB/s 内部SRAM 帯域幅 35MB 内部SRAM 容量 892K LUTs 3100img/s CNN スループット*
  • 28. © Copyright 2019 Xilinx Alveo Data Center Accelerator Cards >> 28
  • 29. © Copyright 2018 Xilinx Database Search & Analysis 90 x Finance Computing 89 x Machine Learning 20 x Video 12 x HPC & Life Science 10 x Fastest Accelerator Cards for Data Center and AI 29
  • 30. © Copyright 2018 Xilinx Alveo vs other solutions CPU x20, GPU (V100) x 4.7 Throughput >> 30 Alveo U250 CPU (vCPU x 72) x20 GPU V100 x4.7 Ref; WP504
  • 31. © Copyright 2018 Xilinx Ref; WP504GPU (V100) x 4 Power Efficiency >> 31 Alveo U250 GPU V100 x4 Alveo vs other solutions
  • 32. © Copyright 2018 Xilinx 1/3 Latency vs GPU >> 32 0 5 10 15 20 25 30 35 40 45 50 CPU+ Alveo CPU+ GPU CNN+BLSTM Speech-to-Text Latency (ms) FPGA Latency is less than 1/3 of GPU Significantly short & stable latency than GPU GPU; NVIDIA P4
  • 33. © Copyright 2018 Xilinx Ext. Memory Network Processor Ext. Memory GPU Ext.Memory Processor Ext. Memory FPGA Ext.Memory Processor Network Interface Card (NIC) GPU Accelerator FPGA Smart NICServer CPU Server CPU Latency = msec Latency = 1/10,000 msec (order of nsec) Sensor Market info. Actuator Transactions Network processing - TCP/IP, TLS, OVS Computation for making decision faster Faster outputs Smart NIC settings Log data Sensor Market info. Actuator Transactions Network Network Much lower latency and power consumption Most Effective for Latency Critical use cases Data Outputs Data Outputs >> 33
  • 34. © Copyright 2018 Xilinx Data Center Accelaration Platform Computing Storage Network Accelerator Cards Compute Shell Firmware & Runtime Storage Shell Firmware & Runtime Network Shell Firmware & Runtime CompressionML Video KVS SDN / NFVROCE Openstack Hardware Firmware Library Middleware Software Framework IDE F r a m e w o r k , A P I , P y t h o n / J a v a / C + + P r o g r a m m a b i l i t y . . . . . . Crypto OVS. . . . . . . . . . . . TensorFlow FFMpeg NVMe-OF 7nm Versal ACAP 16nm FPGA 16nm MPSoC >> 34
  • 35. © Copyright 2018 Xilinx C Applications in total C Compression C Video C Security C Life Science C Finacial Computing C Image Processing C Data Analytics C ML C Tools Applications and eco-partners https://japan.xilinx.com/products/design-tools/acceleration-zone.html#libraries 15 50 2017 2018 >> 35
  • 36. © Copyright 2019 Xilinx Zynq UltraScale+ RFSoC >> 36
  • 37. © Copyright 2018 Xilinx AI コア シリーズ プライム シリーズ >> 37
  • 38. © Copyright 2019 Xilinx VersalTM ACAP AI Core Series >> 38
  • 39. © Copyright 2019 Xilinx>> 39 VersalTM ACAP Prime Series
  • 40. © Copyright 2019 Xilinx Summary ˃ CCIX enables broader use of acceleration technologies ˃ CCIX Base specification is available ˃ CCIX is supported by broad eco-system-both host and accelerator devices in under development with ES becoming available in near future ˃ Active work underway to enable SW eco-system and showcase use cases ˃ Go to www.ccixconsortium.com for learn more about CCIX and to join CCIX eco- system. >> 40 https://twitter.com/ccixconsortium https://twitter.com/XilinxJapan
  • 41. © Copyright 2019 Xilinx Adaptable. Intelligent.