CMC Offers Researchers Access to GLOBALFOUNDRIES Advanced Semiconductor Technologies

CMC Microsystems has signed an agreement with GLOBALFOUNDRIES® (GF®), the world’s leading specialty foundry, that will provide access to GF’s advanced and specialized FinFET, RF SOI, FDX, SiGe, and Silicon Photonics platforms for CMC researchers at more than 60 Canadian universities and colleges, in addition to academic and commercial users globally.

格芯®(GLOBALFOUNDRIES®)未来展望

在格芯®(GLOBALFOUNDRIES®)发展的前10年,我们取得了显著的进步,也经历了成长的阵痛,这在本系列第1部分已做阐述,第2部分则详细说明了公司战略的重大变革。本文是最后的第3部分,我们将看到格芯如何以全新的定位和目标实现转型,顺应半导体行业的根本性变革趋势,继续稳步发展。

撰文:Gary Dagastine

许多行业外人士将半导体称为“计算机芯片”。目前半导体不仅用于传统计算,而且逐渐大量涉足人类工作的几乎每个领域,以实现数据的充分利用,因此“计算机芯片”这一术语应该淘汰了。例如可穿戴健身设备、日益自动化的汽车和声控个人助理等。

这些快速增长的多样化应用都需要针对具体需求定制半导体解决方案。因此,如何通过经济高效的解决方案,将支持5G的射频(RF)和毫米波功能、低功耗、嵌入式非易失性存储器、高电压功能、硅光子技术、先进封装等特性融于一体至关重要。

格芯®(GLOBALFOUNDRIES®)刚刚走入第二个十年,现在拥有15个基于节点的技术平台,14个独特或一流的应用功能集,以及知识产权(IP)生态系统中的数千个产权,就上述专业应用需求而言,这些都是得天独厚的优势。格芯利用这些技术资产能够提供成千上万种不同的应用解决方案。格芯称之为“创新方程式”,全球没有任何一家特殊工艺半导体代工厂拥有类似的专业优势。

去年,格芯首席执行官Tom Caulfield提出了放弃极致微缩工艺的转型战略,进一步增强特色差异化产品的开发。此次转型将公司资源从7nm工艺开发转移到更全面、更集中的领域,将更多的创新技术融入现有的产品组合平台,使公司实现重新定位。通过这种方式,格芯能够帮助客户实现增值,而且无需引入成本高昂的制造工艺。

新市场带来新机遇

作为公司实施转型战略的一部分,格芯最近针对特定的高增长半导体市场创建了三个战略业务部门,即汽车、工业和多市场战略业务部(AIM)、移动和无线基础架构部(MWI)以及计算和有线基础架构部(CWI)。

物联网(IoT)、云计算、人工智能/机器学习(AI/ML)、5G通信以及汽车系统中使用更多电子产品等大趋势都在推动这些市场发展。

“由于目前这些终端市场飞速增长,我们相信随着越来越多的设备开始联网,这些领域将为我们提供更多的机会”,帮助领导创建这三个全新战略业务部门的首席技术官兼CWI副总裁Ted Letavic表示。“我们的专业应用解决方案推动了这些发展进程,并从中受益。”

格芯估计,在这些市场中,约有470亿美元的晶圆厂业务可以通过12nm或以上技术节点领域的解决方案来解决。其中,AIM业务占240亿美元,MWI和CWI分别占150亿美元和80亿美元。

AIM市场包含物联网等应用,物联网由我们环境中感知、存储和传输数据的联网设备组成。汽车应用也属于这一细分市场,支持先进的驾驶员辅助系统、汽车雷达、动力系统控制等各种功能。

在MWI市场,5G无线通信的出现是一个关键驱动因素。其低延迟率和极快的数据传输速度有望实现通用移动连接,大幅降低网络运营商的数据传输成本,并催生大量新应用。据估计,到2035年,通过5G网络连接的智能设备将会高达一万亿台。

与此同时,CWI领域的发展也受到云计算和人工智能/机器学习爆炸式增长的推动。

创新的格芯解决方案使新应用成为可能

这些市场创新和成功将不再受体积日益缩小的半导体驱动,而是由经过精心设计和优化以提供特定功能和性能的成熟半导体平台驱动。

格芯电子负责全球研发运营、射频和硅光子技术解决方案的副总裁John Pellerin表示:“在很大程度上,7纳米及以下的技术与这些市场机会无关,这是格芯放弃微缩工艺的一个关键原因。市场需要针对特定应用量身打造的其他类型的创新技术。我们称这些为特定领域解决方案,而这正是格芯的专长所在。”

物联网应用就是一个很好的例子。典型的物联网设备可能包括具有模拟接口的传感器、用于编码和数据存储的存储器、用于数据通信的射频功能、用于控制设备和处理数据的处理器,另外可能还有电池和电池接口。大多数情况下,这些设备可能处于休眠模式,所以超低漏电是一个关键要求。然而,一旦被信号唤醒,设备必须立即切换到高性能模式,以便在存储器中获取或存储数据,处理数据,然后传输或接收数据。

昂贵的7nm CMOS体硅逻辑芯片在处理这些不同功能方面没有任何实际优势。然而,基于格芯22FDX®FD-SOI平台的片上系统(SoC)却是理想的解决方案,它具有嵌入式MRAM内存和业界领先的射频功能。22FDX平台的本地性能和能效可以通过格芯的自适应体偏置功能进一步提高,使系统能够根据需要进行动态调整,以获得更高的性能或更高的功效。因此,格芯能够帮助客户更轻松、更经济高效地开发新型物联网设备,这些设备可以在静态时降低能耗,需要时提供高性能功能,并集成其他必要特性。

云计算和数据中心的人工智能推理/训练应用同样与节点微缩技术不太相关,而格芯的特定领域解决方案则是关键的推动因素。例如,数据中心的功耗是一个大问题:2007年其功耗约占美国总电力输出的3%,2020年预计将会增加到7%。显然,每一瓦电力都很重要。

在数据中心的人工智能功率预算中,最大一块来自内存和处理器之间的数据传输,这也是日益普遍使用内存计算等技术来降低功率和延迟的原因所在。格芯正在开发众多创新解决方案来解决这一问题。一种方案是通过增加极低电压(0.5V)和双功函数SRAM存储器等功能,来降低功耗需求,并提升格芯的12LP FinFET平台性能。另一种方案是在类似SRAM的工作模式下使用MRAM,旨在以低功耗下三倍密度存储器取代6T SRAM。

硅光子是在数据中心内实现低延迟数据传输和高能效的另一个关键因素。格芯的硅光子(SiPh)光通信芯片提供了显著增加带宽的方法,更容易传输大量数据,使性能达到新的水平。

格芯针对数据中心开发的另一项创新是2.5D封装技术。例如,格芯正与燧原科技(Enflame Technology)合作开发一款加速器,用于在数据中心内建立快速、节能的基于云的人工智能训练平台。该人工智能加速器基于格芯的12LP FinFET平台,并采用先进的2.5D技术与其他芯片共同封装,使得燧原能够获得原本使用更高微缩技术才能提供的相同性能,但成本更低,产品功能更灵活。

员工与合作伙伴是关键

没有员工的努力与合作伙伴的帮助,格芯就无法成为更贴近客户需求、更贴近半导体行业未来的企业。如果没有格芯数千名员工日复一日的辛勤付出和努力,为公司持续积累的专业技术知识经验,就没有如今格芯取得的成就。

此外,格芯还与外部专家网络建立了深入的合作伙伴关系,这些专家提供专业知识和工具,确保格芯客户能够快速、轻松、经济高效地将最初的创意变成经过封装和测试的成品。

格芯的技术支持副总裁Jim Blatchford表示:“简单来说,我们是真正意义上的协作式晶圆厂,通过客户相关支持部门,我们可以与任何客户合作,以最佳方式帮助他们实现目标。我之前在其他公司工作时,基本上是所有晶圆厂的客户,所以我很清楚客户的想法和感受。我们了解客户的需求,我们认为我们的职责是帮助所有人,包括确切知道自身需求的大型公司,以及需要获得我们指导的小型客户,帮助他们调整技术以满足特定的终端市场需求。”

因此,格芯现在拥有100多个生态系统合作伙伴,其业务范围涉及IP、EDA、设计/技术协同优化、组装和测试等服务。格芯的所有技术平台上拥有超过3,400项IP产权,涉及40多个IP合作伙伴,另外还有1,000个IP产权正在积极开发中。过去五年来,通过生态系统合作伙伴帮助客户实现了超过1,500项设计。

格芯还建立了两个合作伙伴生态系统,帮助客户充分利用关键的格芯解决方案。一个是FDXcelerator™生态系统,旨在促进实现22FDX SoC设计,并缩短上市时间。另一个是RFwave™合作伙伴计划,涵盖与格芯合作的各个公司,旨在帮助采用格芯公司各种射频技术平台的客户,通过简化设计,在更短的时间内开发差异化解决方案并推向市场。

展望

格芯的前10年发展历程略有波折,未来10年将会怎样,让我们拭目以待。面对现状展望未来,我们相信,格芯拥有可行的商业战略,洞悉目前的市场机遇,并提供创新的技术解决方案,确保客户成功,此外还有人力资本及外部合作伙伴,能够向客户提供所有的专业知识和工具。

A View of the Future for GLOBALFOUNDRIES

GLOBALFOUNDRIES’ first 10 years were marked by significant progress as well as some growing pains, as we chronicled in Part 1 of this series, and by a major pivot in corporate strategy, as detailed in Part 2. In this third and final installment, we’ll look at how GF, with a newfound sense of identity and purpose, is remaking itself to capitalize on the fundamental changes taking place in the semiconductor industry.

by Gary Dagastine

Many people from outside our industry call semiconductors “computer chips.” It’s a term that should perhaps be retired, in light of the fact that semiconductors are increasingly used not only for traditional computing, but in an exploding number and variety of applications in virtually every field of human endeavor where data can be put to good use. Wearable fitness devices, cars that are increasingly autonomous, and voice-activated personal assistants are just a few examples.

These diverse and fast-growing applications require semiconductor solutions tailored to their specific needs. Therefore it is of paramount importance to have the ability to integrate features such as 5G-ready radio frequency (RF) and mmWave capabilities, low power consumption, embedded non-volatile memory, high-voltage capabilities, silicon photonics, advanced packaging, and others, into cost-effective solutions.

As it begins the second decade of its corporate life, GLOBALFOUNDRIES is in an enviable position to serve such specialized requirements, with 15 node-based technology platforms, 14 unique and/or best-in-class application feature sets, and thousands of titles in its intellectual property (IP) ecosystem. Combined, these assets enable GF to offer literally tens of thousands of different application solutions. GF calls this formulation its Innovation Equation, and no other specialty foundry on the planet has anything close to it.

These offerings are being enhanced by the pivot away from extreme scaling that GF CEO Tom Caulfield initiated last year. The pivot has repositioned the company, by shifting resources away from 7nm technology development, and into more comprehensive and intense efforts to bring further innovations to the platforms already in its portfolio. In this way, GF is adding value for clients without introducing dramatically more costly manufacturing processes.

New Markets Bring New Opportunities

As part of its ongoing corporate transformation, GF recently created three strategic business units, each dedicated to serving specific high-growth semiconductor markets. GF defines them as Automotive, Industrial and Multi-market (AIM), Mobile and Wireless Infrastructure (MWI), and Computing and Wired Infrastructure (CWI).

These markets are being driven by megatrends such as the Internet of Things (IoT), cloud computing, artificial intelligence/machine learning (AI/ML), 5G communications, and the increased use of electronics in automotive systems, among others.

“As fast as these end-markets are growing now, we believe the opportunities for us in these segments will grow even faster as more and more devices are connected,” said Ted Letavic, Chief Technology Officer and Vice President of CWI at GF, who helped lead the development of all three new strategic business units. “Our specialized application solutions are both enabling and benefitting from these developments.”

GF estimates that about $47 billion of foundry business within these markets is addressable with solutions in the space where it plays – at or above the 12nm technology node. Of that total, the AIM business opportunities account for $24 billion, while MWI and CWI represent $15 billion and $8 billion, respectively.

The AIM market segment contains applications such as the IoT, which comprises networks of connected devices in our environment that sense, store, and transmit data. Automotive applications are also included in this segment, enabling features such as advanced driver assistance systems, automotive radar, powertrain control, and many others.

In the MWI market segment, a key driver is the advent of 5G wireless communications. Its lower latency and blazingly fast data transmission speeds are expected to enable universal mobile connectivity, dramatically lower data transmission costs for network operators, and spawn a host of new applications. It is estimated that as many as one trillion intelligent devices will be connected through 5G networks by 2035.

The CWI segment, meanwhile, is driven by the explosive growth in cloud computing and artificial intelligence/machine learning.

Innovative GF Solutions Enable New Applications

Innovation and success in these markets will be driven not by increasingly shrinking semiconductors, but by proven semiconductor platforms that are carefully designed and optimized to deliver specific features and performance.

“For the most part, 7-nanometer-and-beyond technology is irrelevant to these market opportunities, which is a key reason why GF turned its focus away from scaling,” said John Pellerin, GF’s Vice President of Global R&D Operations, and RF and SiPh Technology Solutions. “Other types of innovation that are tailored to specific application are required. We call these domain-specific solutions, and these sit squarely in GF’s wheelhouse.”

IoT applications are a case in point. Typical IoT devices might consist of a sensor with an analog interface, memory for code and data storage, RF capability for data communications, a processor to control the device and process the data, and very likely a battery and battery interface. Most of the time these devices may be in sleep mode, so ultra-low current leakage is a key requirement. Upon being awakened by a signal, however, the device must immediately switch into a higher-performance mode to fetch or store data in memory, process it, and then transmit or receive that data.

An expensive 7nm bulk CMOS logic chip doesn’t offer any practical advantage for handling these disparate functions. However, a system-on-chip (SoC) based on GF’s 22FDX® FD-SOI platform, with embedded MRAM memory and industry-leading RF capabilities, is an ideal solution. The native performance and power-efficiency of the 22FDX platform can be further enhanced with GF’s adaptive body-biasing feature to enable the system to be tuned dynamically, as needed, for higher performance or greater power efficiency. As a result, GF’s clients can more easily and cost-effectively develop novel IoT devices that sip power when quiescent, provide whatever high-performance capabilities might be required, and integrate other necessary features.

Cloud computing and AI inference/training in data centers provide another example of where node scaling may be less relevant, and where GF’s domain-specific solutions are critical enablers. For example, power consumption in data centers is a huge issue: in 2007 they consumed about 3 percent of total U.S. power output, but in 2020 it’s projected to increase to 7 percent. Clearly, every watt counts.

The biggest part of the AI power budget in data centers is moving data back and forth between memory and processors, which is why there is growing use of technologies such as compute-in-memory to reduce both power and latency. GF is developing many innovative solutions that address the issue. One is to reduce the power requirements and boost the performance of GF’s 12LP FinFET platform by adding features like very low voltage (0.5V) and dual-work function SRAM memories. Another is to use MRAM in an SRAM-like operating mode, the goal being to replace 6T SRAM with a memory that has three times the density at lower power.

Silicon photonics is another key enabler for lower latency data transmission and higher energy-efficiency within data centers. GF’s silicon photonics (SiPh) optical communication chips provide ways to significantly increase bandwidth to more easily transmit massive amounts of data, enabling new levels of performance.

Another GF innovation for data centers is 2.5D packaging technology. In one example, GF is working with Enflame Technology on an accelerator for fast, power-efficient cloud-based AI training platforms within data centers. The AI accelerator is based on GF’s 12LP FinFET platform and is co-packaged with other chips in an advanced 2.5D package, enabling Enflame to net the same performance they would get with a more highly scaled technology, but at a lower cost and with more flexibility in product functions.

Employees and Partners are Key

The transformation of GF into a company that is more aligned with the heart and the future of the semiconductor industry hasn’t taken place in a vacuum. GF’s thousands of employees bring technical expertise as well as dedication and commitment to their jobs, day in and day out, and the company wouldn’t be what it is without them.

In addition, GF has built deep collaborations and partnerships with networks of outside experts who provide the specialized knowledge and tools needed to ensure that GF’s clients can quickly, easily, and cost-effectively go from initial idea to finished, packaged, and tested product.

“Simply put, we are truly a collaborative foundry, and through our client enablement organization, we are open to working with any client in any way that best helps meet their objectives,” said Jim Blatchford, Vice President of Technology Enablement at GF. “In my previous roles at other companies, I was a customer of virtually every foundry in existence, so I know what it’s like to be on the other side of the desk. We understand what clients want, and we see our role as helping everyone, from big players who know exactly what they want from enablement, to smaller clients who need our guidance to tune their technology to address specific end markets.”

Accordingly, GF now has more than 100 ecosystem partners spanning IP, EDA, services such as design/technology co-optimization, and assembly and test. There are more than 3,400 IP titles across all of GF’s technology platforms, from more than 40 IP partners, with an additional 1,000 IP titles currently in active development. Over the past five years, more than 1,500 client designs have been enabled by these ecosystem partners.

GF also has put in place two partner ecosystems to help clients make the best use of key GF solutions. One is the FDXcelerator™ ecosystem to facilitate 22FDX SoC design and reduce time to market. The other is the RFwave™ partner program, an ecosystem of companies who have teamed with GF to help clients use GF’s various RF technology platforms to develop and bring differentiated solutions to market in less time by simplifying design.

Looking Ahead

GF’s first 10 years may have been occasionally tumultuous, and time will tell what the next decade holds in store. But as things stand, GF can look ahead knowing it has a realistic business strategy, a clear view of the market opportunities before it, innovative technical solutions that will ensure its clients’ success, and the human capital and external partners to provide all of the expertise and tools that clients are ever likely to need.

 

 

燧原科技推出搭载基于格芯12LP平台的“邃思”芯片的人工智能训练解决方 案云燧T10

中国上海,2019年12月12日—— 在燧原科技(燧原)发布云燧T10之际,燧原与格芯®(GLOBALFOUNDRIES®)今日共同宣布推出针对数据中心培训的高性能深度学习加速卡解决方案,其核心“邃思”(DTU)基于格芯12LP®FinFET平台及2.5D 封装技术,为云端人工智能训练平台提供高算力、高能效比的数据处理。

燧原的“邃思”(DTU)利用格芯12LP  FinFET平台拥有141亿个晶体管,采用先进的2.5D封装技术,支持PCIe 4.0接口和燧原 Smart Link高速互联。支持CNN/RNN等各种网络模型和丰富的数据类型(FP32/FP16/BF16/Int8/Int16/Int32等),并针对数据中心的大规模集群训练进行了优化,提供优异的能效比。

“邃思”芯片基于可重构芯片设计理念,其计算核心包含32个通用可扩展神经元处理器(SIP),每8个SIP组合成1个可扩展智能计算群(SIC)。该强化的技术通过利用2.5D封装提供了高带宽存储器(HBM2),通过片上调度算法实现快速、高效的数据处理。

“这在很多方面都是独一无二的,”Moor Insights & Strategy创始人兼首席分析师Patrick Moorhead表示,“目前市场上只有很少量相关的机器学习培训芯片,这套基于格芯12LP平台上的燧原人工智能加速卡证明,不需要最尖端技术和昂贵的工艺,就能够处理数据中心应用程序中耗电量巨大的工作负载。” 

“燧原专注于加速片上通信,以提高神经网络训练的速度和准确性,同时降低数据中心的能耗。”燧原科技COO 张亚林表示: “格芯的12LP平台由其全面及高质量的IP库支持,在我们的人工智能培训解决方案的开发中发挥关键作用,以实现客户严格的服务器计算需求。” 

“随着人工智能的普及,对高性能加速器的需求也在不断增长,” 格芯计算及有线基础设施高级副总裁兼总经理范彦明(Amir  Faintuch)表示,“燧原自主研发的独特架构与“邃思”在格芯12LP平台上的设计相结合,将为具成本优势的基于云的深度学习框架和人工智能培训平台提供高计算能力和高效率。” 

格芯的12LP先进FinFET平台提供了性能、功耗和尺寸的一流组合以及一系列差异化功能,以满足不断变化发展的人工智能需求,并将12nm的微缩能力延伸到未来。

基于格芯12LP平台的燧原AI加速卡“邃思”现已样产,将于2020年初于格芯在纽约马其他的Fab 8投产。 

关于燧原:

燧原科技专注人工智能领域云端算力平台,致力为人工智能产业发展提供普惠的基础设施解决方案。为客户提供高算力、高能效比、可编程的通用人工智能训练和推理产品。燧原科技的产品拥有自主知识产权,其创新性架构、互联方案和分布式计算及编程开放平台,可广泛应用于云数据中心、超算中心、互联网、金融及政务等多个人工智能场景。

燧原科技携手业内国际标准组织,秉承开源开放的宗旨,与产业伙伴一起促进人工智能产业发展。

关于格芯

格芯是全球领先的特殊工艺半导体代工厂,提供差异化、功能丰富的解决方案,赋能我们的客户为高增长的市场领域开发创新产品。格芯拥有广泛的工艺平台及特性,并提供独特的融合设计、开发和生产为一体的服务。格芯拥有遍布美洲、亚洲和欧洲的规模生产足迹,以其灵活性与应变力满足全球客户的动态需求。格芯为阿布扎比穆巴达拉投资公司(Mubadala Investment Company)所有。欲了解更多信息,请访问 https://www.globalfoundries.com/cn。

媒体垂询:

杨颖(Jessie Yang)
(021) 8029 6826
[email protected] 

邢芳洁(Jay Xing)
86 18801624170
[email protected]

Enflame Technology Announces CloudBlazer with DTU Chip on GLOBALFOUNDRIES 12LP FinFET Platform for Data Center Training

Shanghai, China, December 12, 2019 – In conjunction with the launch of Enflame’s CloudBlazer T10, Enflame Technology and GLOBALFOUNDRIES® (GF®) today announced a new high-performing deep learning accelerator solution for data center training. Designed to accelerate deep learning deployment, the accelerator’s core Deep Thinking Unit (DTU) is based on GF’s 12LP™ FinFET platform with 2.5D packaging to deliver fast, power-efficient data processing for cloud-based AI training platforms. 

Enflame’s DTU leverages GF’s 12LP FinFET platform with more than 14 billion transistors packaged in advanced 2.5D, and supports PCIe 4.0 interface and the Enflame Smart Link high-speed interconnection. The AI accelerator, which is optimized for large-scale cluster training in data centers to provide high performance and power efficiency, supports CNN/RNN and other network models and a broad range of data types (FP32/FP16/BF16/Int8/Int16/Int32, etc.). 

Based on a reconfigurable chip design approach, Enflame’s DTU computing core features 32 scalable intelligent processors, with 8 SIPs combined into 4 scalable intelligent clusters (SICs). The enhanced technology offers high bandwidth memory (HBM2) integrated through 2.5D packaging, with an on-chip configuration algorithm to achieve fast, power-efficient data processing.

“This is unique in many ways,” said Patrick Moorhead, Founder and Principal Analyst at Moor Insights & Strategy. “There’s only a handful of relevant machine learning training chips out there and the Enflame AI accelerator on GF’s 12LP platform is proof that you don’t need bleeding edge and expensive processes to tackle power-hungry workloads for data center applications.”

“Enflame is focused on accelerating on-chip communications to increase the speed and accuracy of neural network training while reducing data center power consumption,” said Arthur Zhang, Enflame Tech COO. “GF’s 12LP platform supported by its comprehensive and high-quality IP libraries are expected to play a critical foundational role in development of our AI training solutions and enable our customers to meet their most demanding server computing needs.”

“As AI becomes pervasive, there is a growing demand for high-performance accelerators,” said Amir Faintuch, senior vice president and general manager of Computing and Wired Infrastructure at GF. “The synergy between Enflame’s unique architecture and the design of DTU on GF’s 12LP platform will deliver a high computational power and efficiency with low cost for cloud-based deep learning frameworks and AI training platforms.”

GF’s 12LP advanced FinFET platform offers best-in-class combination of performance, power and area, along with a set of differentiated features, including a unique low voltage SRAM that enables AI processor acceleration and extends the ability to scale 12nm long into the future.

Enflame’s AI accelerator SoC, DTU on GF’s 12LP platform has been sampled and production is scheduled for early 2020 in GF’s Fab 8 in Malta, New York.  

About Enflame

Enflame Tech focuses on AI cloud computing platform and is committed to providing AI industry with popular infrastructure solutions, offering high computing power, high energy-efficiency, programmable general purpose AI training and inference products with proprietary intellectual property rights. Their innovative structure, connectivity solutions and distributed computing and programming platform can be widely used in cloud data centers, supercomputing centers, the Internet, and numerous AI scenarios in finance services and government administration. 

Enflame Tech works closely with international standards organizations. According to the principle of open source, it is committed to promoting AI industry together with industry partners.

About GLOBALFOUNDRIES

GLOBALFOUNDRIES (GF) is the world’s leading specialty foundry. We deliver differentiated feature-rich solutions that enable our clients to develop innovative products for high-growth market segments. GF provides a broad range of platforms and features with a unique mix of design, development and fabrication services. With an at-scale manufacturing footprint spanning the U.S., Europe and Asia, GF has the flexibility and agility to meet the dynamic needs of clients across the globe. GF is owned by Mubadala Investment Company. For more information, visit globalfoundries.com.

 

Ayar Labs Selected as Optical Solution Partner for Intel’s DARPA PIPES Project and Announces Customer Sampling Program

Ayar Labs is pleased to announce that it’s been selected as Intel’s optical I/O solution partner for their recently awarded DARPA PIPES research project. The goal of PIPES (Photonics in Package for Extreme Scalability) is to develop integrated optical I/O solutions co-packaged with next generation FPGA/CPU/GPU and accelerators in Multi-Chip Packages (MCP) to provide extreme data rates (input/output) at ultra-low power over much longer distances than supported by current technology. In the first phase of the project, the Ayar Labs TeraPHY™ chiplet will be co-packaged with an Intel FPGA using the AIB (Advanced Interconnect Bus) interface and Intel’s EMIB silicon-bridge packaging. “We’re seeing an explosion of Datacenter workloads that have an insatiable demand for bandwidth and the need to connect devices at rack-scale distances,” said Vince Hu, VP of Strategy and Innovation for Intel’s FPGA products. “The best way to do that is with optical interconnect and by using an Ayar Labs chiplet(s), we can achieve very high bandwidth at low latency and low power consumption.”

适用于下一代汽车雷达的22FDX®平台受到客户青睐

作者:Mark Granger

ADAS(先进驾驶员辅助系统)和其他汽车电子系统的使用日益普遍,技术也日臻成熟,不仅有助于提升汽车和卡车的安全性和能效,同时使车辆具有更高的自动操作能力。作为汽车行业的战略合作伙伴,格芯提供多种技术平台和众多功能,可针对这些应用创建高度差异化的解决方案。 

传感器就是一个典型的例证。不同类型的传感器(摄像头、雷达和激光雷达),为车辆提供了感知周边环境所需的眼睛和耳朵,但我们还需要专门的应用解决方案,以便开发出具有良好使用效果的设备。例如,仅雷达就有很多不同要求,具体取决于它在汽车中的位置、预期的距离范围以及所感测场景的分辨率等。

格芯提供众多解决方案,能够满足雷达设备制造商的需求。尽管格芯的8XP SiGe技术解决方案则有助于提供绝对最佳距离性能,但是,对于短距离和中距离传感器,格芯的具有毫米波功能的40LP平台更加适合

22FDX®平台受到市场欢迎

在下一代汽车雷达方面,格芯面向汽车SoC的22FDX 22nm FD-SOI平台很快受到市场欢迎,该平台将毫米波性能与数字集成一体,支持77GHz以上的高分辨率雷达。这是对于汽车雷达的“甜蜜点”,因为一流的RF性能与出色的数字集成相结合,能够显著改进成像分辨率和精确度。

22FDX平台之所以受到市场欢迎,关键在于它可提高功率附加效率(PAE),这意味着即使在低功耗下工作,也能提供高输出功率,随着汽车中的电子装置持续增加,这会成为一大重要优势。该平台的高PAE特性有助于减少热预算,使其成为一种多功能解决方案,能够在汽车底盘和车身中对热性能要求很高的位置使用,例如嵌入在泡沫保险杠中的雷达传感器。


与标准28nm体硅CMOS技术相比,格芯的22FDX平台为汽车雷达系统制造商提供了显著优势
资料来源:格芯

此外,格芯和合作伙伴开发了众多22FDX IP产品组合,能够满足严格的汽车应用要求,帮助客户尽快完成产品设计并推向市场,促进实现零偏移和零缺陷。它通过格芯的AutoPro™解决方案和供应商提供给汽车行业。当然,这一切都源自格芯位于德国德累斯顿的1号晶圆厂,也就是制造22FDX产品的工厂。该厂完全符合IATF 16949质量标准。

所有这些极快地加速了格芯在22FDX平台上与汽车制造商和供应商的合作。仅汽车雷达而言,我们就在多项目晶圆(MPW)上执行了将近30次测试设计,去年还启动了三个完整产品设计。 

格芯的22FDX平台正在成为下一代汽车雷达的首选技术。Arbe Robotics是目前披露的与格芯合作的第一个汽车雷达客户。
资料来源:格芯

代工厂参考设计证明格芯技术优势

然而,许多追求下一代汽车雷达的潜在客户对这项技术还不太熟悉。这些客户包括深入研究电子元器件设计的汽车制造商和成熟供应商,还有不断涌现的初创企业,他们试图向市场推出一系列创新的颠覆性技术。

为了帮助这些客户,格芯开发了77GHZ雷达收发器的参考设计,不仅展示了22FDX平台颇具吸引力的独特优势,还证实AutoPro解决方案能够体现出复杂的电路设计模型与基于这些模型制造的元件之间的良好相关性。

使用代工厂参考设计生产的基于22FDX的收发器展现了下一代雷达系统的优良性能。其工作范围为76GHz至81GHz;接收器噪声系数为16dB(在10Mhz频率下);最大功率输出为13dBm,在-20⁰C至125⁰C工作温度范围内,功率变化仅2dB。

该77GHz雷达收发器代工厂参考设计采用格芯的22FDX平台制成,符合设计KPI(关键性能指标)要求,具有良好的模型与硬件相关性。
资料来源:格芯

硅芯片是基础

汽车电子领域的发展令人振奋,它在以前所未有的速度不断增长和变化。随着“智能汽车”的概念变为现实,汽车中的计算、感应和控制水平也在持续提高。格芯的AutoPro解决方案为实现这一目标奠定了硅芯片技术基础。

Mark Granger是格芯公司的汽车业务开发副总裁

 

Clients Turn to the 22FDX® Platform for Next-Generation Automotive Radar

by Mark Granger

The growing use and sophistication of ADAS (Advanced Driver Assistance Systems) and other automotive electronics systems are helping to make cars and trucks safer and more energy-efficient, while giving them a higher degree of autonomous operating capability. As a strategic partner to the automotive industry, GF offers multiple technology platforms with many features that are used to create highly differentiated solutions for these applications. 

Sensors are a case in point. Different types of sensors – cameras, radar, and lidar – give a vehicle the eyes and ears it needs to understand the world around it, but specialized application solutions are needed to create devices that will deliver the best results. For example, radar alone has many different requirements depending on its location in the car, the expected range or distance, and the resolution of the detected scene.

GF provides many solutions to meet the needs of radar device manufacturers. GF’s 40LP platform with mmWave capability is a great option for short- and medium-range sensors although GF’s 8XP SiGe technology is the solution when the absolute best range performance is needed.

22FDX® Platform Gaining Traction

What has rapidly been gaining traction for next-generation automotive radar is GF’s 22FDX 22nm FD-SOI platform for automotive systems-on-chips (SoCs) which brings mmWave performance and digital integration together to enable high-resolution radar at 77GHz and beyond. This is the “sweet spot” for automotive radar, because the combination of best-in-class RF performance coupled with excellent digital integration significantly improves imaging resolution and accuracy.

Key to its popularity is that the 22FDX platform enables high power-added efficiency (PAE), meaning that it offers high levels of output power even while it operates at low power, a key advantage as the overall electronics content in vehicles continues to grow. The high PAE of the platform reduces the thermal budget, making it a versatile solution for use throughout vehicle chassis and bodies in locations where thermal performance is a key requirement, such as radar sensors embedded in foam bumpers.


GF’s 22FDX platform offers significant advantages to manufacturers of automotive radar systems versus standard 28nm bulk CMOS technology
Source: GF

Moreover, the extensive 22FDX IP portfolio that GF and partners have developed to meet rigorous automotive requirements is helping clients achieve their design and time-to-market goals, while driving toward zero excursions and zero defects. It is available through GF’s AutoPro™ solutions and suppliers to the automotive industry. The foundation of everything, of course, is GF’s Fab 1 in Dresden, Germany where 22FDX products are manufactured. It is fully compliant with IATF 16949 quality standards.

The result of all this is that 22FDX engagements with automakers and their suppliers have jumped dramatically. For automotive radar alone, there have been nearly 30 test designs executed on multi-project wafers (MPWs), and in the last year three additional full-product design starts. 

GF’s 22FDX platform is becoming the technology of choice for next-generation automotive radar. Arbe Robotics is the first automotive radar client that has disclosed it is working with GF.
Source: GF

Foundry Reference Design Proof Point

Nevertheless, many potential clients pursuing next-generation automotive radar are still relatively unfamiliar with the technology. They range from automakers and established suppliers who are delving more deeply into the design of electronic components themselves, to a growing number of startups trying to bring to market a range of innovative and disruptive technologies.

To help them, GF has produced a foundry reference design for a 77GHZ radar transceiver that not only illustrates the unique and compelling benefits of the 22FDX platform, but also demonstrates that AutoPro solutions lead to an excellent correlation between even the most complex circuit design models and the parts that are manufactured based on them.

The 22FDX-based transceiver produced using the foundry reference design demonstrated state-of-the-art performance for next-generation radar systems. These included an operating range from 76GHz up to 81GHz; receiver noise figure of 16dB (@ 10Mhz); and maximum power output of 13dBm with just 2dB of variation across an operating temperature range of -20⁰C – 125⁰C.

This foundry reference design for a 77GHz radar transceiver made with GF’s 22FDX platform shows that it meets design KPIs (key performance indicators) with excellent model-to-hardware correlation.
Source: GF

Silicon is the Foundation

Automotive electronics is a truly exciting space that is growing and changing at an unprecedented rate. The levels of computing, sensing and control in vehicles continue to grow as the concept of the “Smart Auto” evolves into reality. GF’s AutoPro solutions provide the silicon technology foundation required for this to happen.

Mark Granger is the Vice President of Automotive Business Development at GLOBALFOUNDRIES.

芯动科技多样IP组合获得格芯22FDX®平台的物联网和边缘AI应用认证

全球领先的高端混合电路芯片/IP设计公司芯动科技(INNOSILICON)今天宣布,其多样IP产品组合已通过格芯® (GLOBALFOUNDRIES®)22FDX®平台的认证,现在,设计人员能为包括AI、物联网、汽车、工业和通信在内的各类应用提供差异化的产品。

Innosilicon’s IP Portfolio Qualified on GLOBALFOUNDRIES 22FDX® Platform for IoT and Edge AI Applications

Innosilicon, the world-class innovative fabless IP design and customized ASIC company, announced today that its comprehensive IP portfolio has been qualified on GLOBALFOUNDRIES® (GF®) 22FDX® platform, enabling designers to deliver differentiated products to a broad set of applications including AI, IoT, automotive, industry, and communication.