Is the US shooting itself in the foot by banning Huawei?

localizer said:

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As well as Shanghai Anlogic, there are other Chinese FPGA companies pursuing this strategy – Shenzhen Pango Microsystems, Gowin Semiconductor, Xian Intelligence Silicon Tech and AGM Microelectronics.




Anlogic shipped 500,000 FPGA ICs last year, says Chen, and plans to ship 1.5 million this year and six million next year. It has started its 28nm development.

Pango is on 40nm with its Titan series FPGAs and Gowin’s chips are on 55nm.

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gelgoog said:

Phones don't use FPGAs. They use SoCs or ASICs. An FPGA is basically a way to make something with silicon which involves minimum design work and no special fabrication on the part of the client. An FPGA will be used in the server side or the backend. Something like telecoms switches.

FPGAs simply use too much power and are too large to use in something like a phone. At best you put them on a workstation.

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yes i know there are progress, but you can't expect china to come up with every high end component and supply to Hauiwei. its take time, resource, and talents. after ZTE this kind things bound to happen, not just Hauiwei but others too. Trump already declare china as an adversary and he is willing to hurt US economy/company to hurt China company. even after trump gone the cold war mentality will continue exist.

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FPGA Market in Telecom Sector is Accounted for over 34% of the Industry Share by 2022
Mar 14, 2019 (Heraldkeeper via COMTEX) -- FPGA Market is estimated to grow at over 8% during the forecast timeline. Rising demand across various end-use industries such as data processing, automotive, industrial and consumer electronics is expected to drive FPGA market growth over the forecast timeframe. Smartphone industry is anticipated to have considerable impact on global FPGA market. In addition, it efficiently performs DSP (digital signal processing) functions such as signal processing and image enhancement owing to its built-in RAM. Increasing usage in flat panel displays for processing, display panel application, panel driver or controller, operating mode, battery management and video board application will also propel demand through 2022.

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Features provided by field programmable entryway clusters include vast parallel information handling limit, higher execution pick up in programming application and the capacity to preparing ongoing information makes it an integral part in modern technology devices. These products are reprogrammable in nature and can be improved to enhance functionality in terms of hardware.

Technology innovations that enable customized circuit construction at reduced price that facilitates fully customized operation of microprocessors provides ample growth opportunities to the companies engaged in FPGA manufacturing.

Based on application, c is anticipated to witness substantial growth prospects owing to high flexibility. The segment is estimated to grow at 9% CAGR to account for over 34% of the FPGA market share by 2022. Demand for higher bandwidth for video applications and shift in focus of operators towards green solutions to increase operational efficiency is driving the growth. Upgrading from 3G to LTE networks will contribute to the increased demand in telecom industry. Growth in automotive segment is attributed to increasing average number of integrated circuits in the average vehicle the presence of stringent regulations regarding electric and hybrid vehicles to control the carbon emission is contributing to the segment growth.
APAC FPGA Market was evaluated at about $2.2 billion for 2014 and is predicted to surpass $4.3 billion by end of forecast timeframe. Countries like Taiwan, China, India, South Korea and Japan substantially contribute towards automotive sector and consumer electronics segment and this is the reason for industry growth in the region.

U.S. FPGA Market contributed more than 25% of the total revenue share for 2014. Large scale investments in aerospace and defense applications along with growth of telecommunications sector is predicted to fuel regional industry expansion during forecast timeframe.

Key industry players profiled in the report includes Microsemi Corporation, Aeroflex Incorporation, Lattice Semiconductor, Achronix, Cypress Semiconductor, Xilinx Incorporation, Achronix Semiconductor Corporation, Atmel Corporation, Tabula, Altera Corporation, Intel Corporation, Texas Instruments and QuickLogic and Xilinx.
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Major Key Points in Table of Content:

Chapter 4 FPGA Application Insights

4.1 Global market share by application, 2014 & 2022
4.2 Automotive
4.2.1. Global demand in automotive, by region, (USD Million), 2012 – 2022
4.3 Consumer Electronics
4.3.1. Global demand in consumer electronics, by region, (USD Million), 2012 – 2022
4.4 Data Processing
4.4.1. Global demand in data processing, by region, (USD Million), 2012 – 2022
4.5 Industrial
4.5.1. Global demand in industrial applications, by region, (USD Million), 2012 – 2022
4.6 Military and Aerospace
4.6.1. Global demand in military and aerospace, by region, (USD Million), 2012 – 2022
4.7 Telecommunication
4.7.1. Global demand in telecommunication, by region, (USD Million), 2012 – 2022
4.8 Others
4.8.1. Global demand in other applications, by region, (USD Million), 2012 – 2022

Chapter 5 FPGA Regional Insights

5.1 Global market share by region, 2014 & 2022
5.2 North America
5.2.1. North America market by application, (USD Million), 2012 – 2022
5.3 Europe
5.3.1. Europe market by application, (USD Million), 2012 – 2022
5.4 Asia Pacific
5.4.1. Asia Pacific market by application, (USD Million), 2012 – 2022
5.5 Latin America
5.5.1. Latin America market by application, (USD Million), 2012 – 2022
5.6 MEA
5.6.1. MEA market by application, (USD Million), 2012 – 2022

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According to Stratistics MRC, the Global Field-Programmable Gate Array (FPGA) Market is accounted for $63.05 billion in 2017 and is expected to reach $117.97 billion by 2026 growing at a CAGR of 7.2% during the forecast period.
The growth of this market is mainly driven by raising demand for optimization in big data analytics, growth of Internet of Things (IoT), huge adoption in smart-phones and hand held devices and growing adoption of Advanced Driver Assistance System (ADAS). Furthermore growing demand of Field-Programmable Gate Array (FPGA) in data processing, bandwidth in wireless networks, technological developments in FPGA design, and increasing demand for electronics components in automotive sector are the major factors favouring the FPGA market growth. However, inability of FPGAs to substitute ASIC, ASSP and DSP devices, and lack of standardized verification techniques are restraining the FPGA market.

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A Field-Programmable Gate Array (FPGA) is an integrated circuit (IC) that can be programmed in the field after manufacture. The FPGA configuration is generally specified using a Hardware Description Language (HDL) similar to that used for an Application-Specific Integrated Circuit (ASIC). FPGAs contain an array of programmable logic blocks and a hierarchy of reconfigurable interconnects that allow the blocks to be wired together with many logic gates like AND, XOR and also include memory elements like flip-flops that can be inter-wired in different configurations. FPGA circuits are designed to reduce the response time of the circuits.

To decrease the response time of the circuits, FPGA circuits are being used in several industries such as consumer electronics, data processing, automobiles, aerospace & defense, telecom and other industries. Among these industries, telecom is expected to hold the major share with rising adoption of 3G, 4G, LTE & 5G services, increasing demand for smart-phones and high speed internet access across the regions. Static Random Access Memory (SRAM) and flash-based FPGA technologies are expected to witness significant growth rate during the forecast period due to its non-volatile nature, low power consumption, reprogrammable and electrically erasable.

The Asia-Pacific region held the major market share in the global FPGA market and is expected to be the fastest growing market during the forecast period. The factors driving the growth of the FPGA market in the Asia-Pacific region is attributed to increasing demand of smart-phones & hand held devices, and rising disposable income in the region. Countries such as China, Japan, India, Taiwan, and South Korea are key markets for industrial, consumer electronics, and automotive applications.

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Some of the key players profiled in the report include Achronix Semiconductor Corp, Intel Corporation, Microsemi Corporation, Xilinx, Lattice Semiconductor, Cypress Semiconductor, AlteraCorporation, Aeroflex Inc, Atmel Corporation, Texas Instruments, Tabula, Quick logic Corporation, COBHAM PLC, United Microelectronics Corporation,TaiwanSemiconductor,Manufacturing,SiliconBlueTechnologie,Silego, Global foundries, Celerix Technologies, Emupro.

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Technologies Covered:
• Electrically Erasable Programmable Read-Only Memory (EEPROM)
• Static Random Access Memory (SRAM)
• Flash
• Anti-Fuse
• Other Technologies

FPGA Types Covered:
• High-End FPGA
• Low-End FPGA
• Mid-End FPGA

Applications Covered:
• Test, Measurement, & Emulation
• Consumer Electronics
• Automotive
• Wireless Communication
• Wired Communication
• Industrial
• Military & Aerospace
• Health Care
• Data Center & Computing
• Telecommunications
• Other FPGA Applications

Node Size Covered:
• More Than 90 nm
• 28–90 nm
• Less Than 28 nm

Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o France
o Italy
o UK
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa

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s002wjh said:

put it this way do you want samsung galaxy 3 or latest samsung cell phone. for the poor sure samsung 3, but if you got $$ you want the best, latest 5g etc require top end products.

the irony is almost all xilinx employees are from india or china.

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Faithlock said:

FPGA is used in every one of the base stations. They are the main heart of base stations just like SOC ASIC is the main heart of smart phone.

Without base stations, smart phone will be useless.

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Faithlock said:

Thanks, this web page is very helpful.

I went to the Anlogic web site:

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Surprisingly, they won't let me download their product data sheet (why do they want to limit potential future customers?)

From brief description, it seems the following is their largest FPGA family:

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It has number of LUT = 19.6k. It is actually 1/3 of Gowin. It is also built on a 55 nm technology.

Huawei is not going to be able to get much from Anlogic also.

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manqiangrexue said:

Man, don't answer my questions if you don't know what the hell you're talking about. You write this to me and then the next post I find out cellphones don't even use FPGA's? I asked very specific questions about how much of a problem this poses; I don't need you to tell me that rich people like top end.

And China can and will build all of these components; it's just a matter of quality and time. China has more potential than any other country in the world to dominate technologically. This whole episode has guaranteed that the future of Chinese technology will no longer be susceptible to foreign embargo.


OK, I didn't know FPGAs are not used in cellphones. So same question: what model does Huawei use now and how much of a decline in overall performance are we talking about if we were to use China's best alternative? Additional question: since it is not in a cellphone, space is not so much an issue anymore. Can multiple weaker ones be used to substitute for one high performance one?

I'm assuming that you know a lot about tech; if it's not true or you don't know the answers, I certainly don't mean to badger you or put you on the spot.

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But there was one little chip that has gone mostly unnoticed. Inside the iPhone 7 is a field-programmable gate array, or FPGA, made by Lattice Semiconductor,

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. An FPGA is a type of processor that can be reconfigured after it's been manufactured and installed in a device. Increasingly, these chips are are used for accelerating machine learning applications in data centers. This is the first time an FPGA has appeared in an iPhone.

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Xilinx pushes FPGA further into mobile platform with simpler programming
One of the features of the new open ecosystem for telco networks is the rising use of merchant silicon rather than custom ASIC chips, to drive the new economics of the white box servers, switches and routers (see separate item). However, off-the-shelf chips come with trade-offs, and even Intel has backed away from the idea that a processor, even a powerful beast like a top end Xeon, can support all the rarefied functions and demanding requirements of a carrier network by itself.

Enter the FPGA (field programmable gate array), which can be programmed for particular functions, without going the full custom route. In the telco environment, FPGAs are increasingly used to support specialized coprocessors that can offload the most demanding tasks from the CPU. Since much of the work is still done by a standard processor powering a white box, the operator can get closer to the economics of COTS (commercial off the shelf) hardware than with proprietary boxes based on ASICs, but without sacrificing the required performance.

This trend has made FPGAs very strategic to chip vendors targeting the high performance computing, telecoms network and webscale sectors. Intel acquired the market leader Altera, and Qualcomm has been repeatedly linked to its largest rival, Xilinx, which partners with the mobile chip giant on its new server system-on-chip. The combination of Snapdragon processors and Xilinx FPGAs aims to convince OEMs and operators that a chip vendor from a device heritage can offer a platform capable of running a demanding application like a Cloud-RAN, and take on the silicon suppliers from the traditional server or switch-chip spaces, like Cavium, Broadcom and, of course, Intel.

With its eye on the expanding market for FPGAs in demanding compute and communications markets, Xilinx has unveiled its latest offering, Everest, which it claims to have cost $1bn to develop as it bids to close the gap with Intel/Altera, playing on a big boost in performance, as well as its still-independent credentials. The headline performance claim is a an increase in performance per watt of between 10 and 100 times, compared to a conventional CPU, with more adaptability than a GPU (graphics programming unit) or ASIC.

Everest is part of the new Adaptive Compute Acceleration Platform (ACAP) portfolio, Xilinx’s attempt to bring the same level of adaptability to hardware as software. Key to this is the silicon package that combines the new FPGA with real time processors and application processors, as well as all the required I/O – all in an optimized layout that frees up space for more programmable silicon in the Everest footprint.

This package shows that ACAP is not a pure FPGA offering, as it includes multiple silicon components that might normally be dedicated chips themselves. The design is an evolution of Xilinx’s previous strategy of adding more dedicated functions to the FPGA design, such as HBM memory controllers and ARM cores for running specific applications.

Xilinx is hoping to attract more software developers to take on the complexity of programming for FPGAs and so expanding beyond its core hardware developer base, into new use cases. New software libraries are being offered to ease the path, with Xilinx hoping to make it as easy as possible to get a TensorFlow developer on board, and so make its FPGAs as appealing as products like Google’s Tensor Processing Unit in high growth sectors like AI. If the ease of development issues can be addressed, FPGAs can score over dedicated chips as they can be molded to fit any AI task.

Key to this change is adoption by software engineers. Most don’t have the skill set to program for today’s FPGAs, and so there will be an arms race between Intel and Xilinx to create a friendly development environment. Xilinx says it wants to get FPGAs to the point where they can be viewed as “just another PCIe co-processor, like a GPU”, instead of requiring a hardware engineer to get anything out of them. That means providing a software library to allow a developer to configure the FPGA, without having to learn an entirely new Hardware Description Language (HDL) first.

In an interview with Anandtech, new CEO Victor Peng said that he has team members who believe Xilinx’s software libraries and APIs are easier to program than Nvidia’s CUDA, and added that Xilinx has enabled Python as a programming language – prioritizing its availability over C or C+ (which are both now also supported) because younger programmers are more familiar with Python. He added that Xilinx would stick with ARM cores for now, rather than open source RISC designs, because the ARM architecture has most support.

The promise of real time reprogramming has caught the eye of both AI developers and 5G networking vendors. In the launch, Xilinx highlighted six prime use cases for Everest, most of which will increasingly be integrated into 5G networks as operators look to incorporate cloud services infrastructure into their RANs, as they are already doing with content delivery engines. The six use cases were video live streaming, IoT sensor analytics, AI voice services, social network video screening, financial modeling and personalized healthcare.

The main draw for these applications is that their demands can change quite quickly, and so a cloud computing provider can reconfigure the FPGAs to address those changes efficiently – rather than have banks of surplus GPUs or ASICs lying around and not earning money. Both Amazon’s AWS and Microsoft’s Azure cloud platforms have begun offering FPGA services, with Azure now putting an Intel FPGA into every new server it brings online.

By contrast, AWS is a Xilinx customer, currently using its current 16nm products. Last autumn, Xilinx announced a partnership with AWS which could provide FPGA-enabled solutions on an as-a-service basis for data centers and operators, another way to address that shortage of skills in FPGA programming. AWS Marketplace will add Amazon FPGA Instances (AFIs), created by Xilinx, to its Amazon Machine Images (AMIs). That will enable them to offer FPGA-accelerated platforms as a cloud service. Customers no longer need to invest in specialized hardware and skills, but can instead configure and pay for an Amazon FI instance.

The first three services which are available in this way are accelerated video encoding and AR/VR processing for cloud video services, designed by NGCODEC; cloud-based advanced query services from RYFT; and a version of the genomic analytics platform from Edico Genome. All of these are best accelerated by FPGAs rather than being well-suited to GPUs.

While the initial targets are cloud service developers which want to accelerate their services without investing in FPGA technology, it is not hard to see how this system could also support hosted services for smaller operators, daunted by the infrastructure and skills required to implement Cloud-RAN or an AI-enabled network.

As well as the six use cases for cloud services, Xilinx has a second strategic focus, on its core markets, which include telecoms, automotive, broadcast, aerospace, infrastructure and industrial. These are now all looking for high performance embedded platforms which require limited hardware customization and are heavily software-defined.

The new design will be available next year. It will be built by TSMC, on a 7nm geometry, with around 50bn transistors per unit. Currently, Intel’s latest Altera Stratix FPGAs use a 14nm process, and house 30bn transistors, although Intel has hinted at a next generation design to be unveiled this year. That will reportedly use new NoC (network-on-chip) and CCIX (cache coherent interconnect for accelerators) technologies, which are not yet used in any Xilinx product.

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Faithlock said:

Thanks, this web page is very helpful.

I went to the Anlogic web site:

Please, Log in or Register to view URLs content!

Surprisingly, they won't let me download their product data sheet (why do they want to limit potential future customers?)

From brief description, it seems the following is their largest FPGA family:

Please, Log in or Register to view URLs content!

It has number of LUT = 19.6k. It is actually 1/3 of Gowin. It is also built on a 55 nm technology.

Huawei is not going to be able to get much from Anlogic also.

Click to expand...