Flex Logix Announces nnMAX AI Inference IP In Development On GLOBALFOUNDRIES 12LP Platform

 Flex Logix® Technologies, Inc., the leading supplier of embedded FPGA (eFPGA) and AI Inference IP, architecture and software, today announced that its nnMAX™ AI Inference IP is in development on GLOBALFOUNDRIES® (GF®) 12LP FinFETplatform under an agreement with the U.S. Government. The nnMAX AI IP on GF 12LP, and extendable to GF’s 12LP+ to enable enhanced power performance, is a superior solution for DSP acceleration and AI inference functions. The IP will also be available to commercial customers in 2H 2021.

SEMI PARTNERS WITH GLOBALFOUNDRIES TO OFFER APPRENTICE PROGRAM AIMED AT BUILDING THE ELECTRONICS TALENT PIPELINE

SEMI, the industry association serving the global electronics design and manufacturing supply chain, today launched a new collaborative apprenticeship program to make it easier for companies to offer training and for more workers to pursue careers in electronics. The competency-based SEMI Industry Approved Apprenticeship Program (IAAP) is designed to identify skills gaps and delver targeted training that efficiently meets industry employers’ hiring needs.

“U.S. Senator Charles E. Schumer stands with GlobalFoundries CEO Tom Caulfield to call for swift final passage of the 2021 National Defense Authorization Act

Schumer Says U.S. Must Maintain Its Global Leadership In Semiconductor Tech Innovation, And New Schumer-Authored Bill Means More Microelectronics Factories & Jobs In The U.S.A. – At Sites Like GlobalFoundries – Cementing U.S. Leadership In Microelectronics Industry

GlobalFoundries Appoints David Reeder as Chief Financial Officer

Seasoned financial and semiconductor executive joins GF leadership team

Santa Clara, Calif., July 28, 2020 – GlobalFoundries® (GF®) today announced the appointment of David Reeder as Chief Financial Officer (CFO). David will draw on his more than 20 years of global financial and executive management experience with public and private companies to support GF’s growth and continued success as the world’s leading specialty foundry as well as accelerate the company’s journey to IPO.

Reeder brings with him an extensive background including experience in corporate finance, strategic planning, operations, investor relations, and risk management along with CEO and CFO experience at four different companies, both private and publicly-held.

Reeder has served in senior finance and operations positions in global high technology companies including Texas Instruments, Broadcom, Cisco and Electronics for Imaging (EFI). Most recently, Reeder served as CFO and as CEO of Lexmark International, a $4 billion publicly-traded company listed on the New York Stock Exchange (NYSE), and as CEO of Tower Hill Insurance Group. As a global citizen, David has spent time in leadership roles in Malaysia, Singapore, France, the United Kingdom and the United States.

“David has an impressive record of successful execution at a number of leading companies and is a true semiconductor executive at heart,” said Tom Caulfield, CEO of GF. “I am thrilled to welcome David and his experience to our leadership team as we further advance our business and our vital role in the industry.”

“I can’t imagine a more exciting time to join GF,” said David Reeder. “I look forward to joining a world-class team, leading the finance organization and contributing to the company’s future success as it progresses to the next phase of its growth.”

Reeder will join GF on August 10th.

About GF

GlobalFoundries (GF) is the world’s leading specialty foundry. GF delivers differentiated feature-rich solutions that enable its 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 www.globalfoundries.com.

Contact:

Erica McGill
GlobalFoundries
518-795-5240
[email protected]

GLOBALFOUNDRIES Partners with Synopsys, Mentor, and Keysight on Interoperable Process Design Kit (iPDK) Support for 22FDX

OpenAccess-based iPDK provides a choice of design suite tools for developers working on GF’s best-in-class 22FDX platform

Santa Clara, Calif., July 21, 2020 – GLOBALFOUNDRIES® (GF®) today announced the release and distribution of OpenAccess iPDK libraries optimized for its 22FDX® (22nm FD-SOI) platform. With its best-in-class performance, power consumption, and broad feature integration capability, GF’s differentiated 22FDX platform is the solution of choice for designers and innovators working in 5G mmWave, edge AI, Internet of Things (IoT), automotive, satellite communications, security, and other applications.

The open-standard based iPDK offers the same level of functionality and performance as PDKs designed for specific vendor tools, while helping enable interoperability and compatibility among different design tool suites. Tools including: the Custom Compiler™ solution from Synopsys; TannerTM software solutions from Mentor, a Siemens business; PathWave Advanced Design System (ADS) from Keysight Technologies; and any other tool supporting OpenAccess will now be able to use GF iPDK libraries for its 22FDX platform. GF’s iPDK will consist of OpenAccess technology files, symbols, component description format (CDF), TCL callbacks, netlisting information, and PyCells.

The 22FDX iPDK is released and available alongside other EDA-specific 22FDX PDK bundles.

“Process design kits are critical for enabling our clients to ensure their designs are of high quality and optimized for manufacturing on GF’s differentiated platforms,” said Richard Trihy, vice president of design enablement at GF. “Expanding our support to iPDK provides our clients greater flexibility to use the design suite tools of their choice. The collaborative nature of iPDK ultimately leads to reduced design costs and greater value creation for our clients and our industry.” 

“GlobalFoundries and Synopsys have a longstanding collaboration to enable mutual customers with open and interoperable EDA technology and IP for GlobalFoundries process nodes,” said Charles Matar, senior vice president of System Solutions and Ecosystem Enablement in the Design Group at Synopsys. “Extending the adoption of open standard-based interoperable PDK helps accelerate and broaden the ability of advanced IP and SoC teams to leverage GlobalFoundries’ 22FDX platform.”

“Mentor’s enterprise-ready, full flow custom IC design environment, together with the outstanding blend of performance and low power that GF’s 22FDX processes deliver are a great combination for our shared IoT and power management customers,” said Greg Lebsack, general manager of IC Design Solutions at Mentor. “Interoperability gives our mutual clients the choice and flexibility that best serve their business objectives. We are pleased that our customers can now leverage GlobalFoundries’ 22FDX platform with the new iPDK.”

“Keysight applauds GlobalFoundries for taking the important step of providing iPDK support for its 22FDX platform,” said Tom Lillig, General Manager of PathWave Software Solutions at Keysight Technologies. “The design community will benefit from the opportunity to shorten the product design-cycle for chips, as well as simulating chip performance, on 22FDX, with Keysight’s RFIC solutions for design and simulation in PathWave Advanced Design System (ADS), PathWave RFIC Design (GoldenGate), and RFPro. This announcement is further proof of the value of collaborative iPDKs to our industry.”

For more information on GF’s 22FDX and iPDK release, contact your GF sales representative or visit globalfoundries.com.

About GF

GLOBALFOUNDRIES (GF) is the world’s leading specialty foundry. GF delivers differentiated feature-rich solutions that enable its 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 www.globalfoundries.com.

Contact:

Michael Mullaney
GLOBALFOUNDRIES
518-305-1597
[email protected]

 

Imec and GLOBALFOUNDRIES Announce Breakthrough in AI Chip, Bringing Deep Neural Network Calculations to IoT Edge Devices

LEUVEN, Belgium, and Santa Clara, Calif., July 8, 2020 – Imec, a world-leading research and innovation hub in nanoelectronics and digital technologies, and GLOBALFOUNDRIES® (GF®), the world’s leading specialty foundry, today announced a hardware demonstration of a new artificial intelligence chip. Based on imec’s Analog in Memory Computing (AiMC) architecture utilizing GF’s 22FDX® solution, the new chip is optimized to perform deep neural network calculations on in-memory computing hardware in the analog domain. Achieving record-high energy efficiency up to 2,900 TOPS/W, the accelerator is a key enabler for inference-on-the-edge for low-power devices. The privacy, security and latency benefits of this new technology will have an impact on AI applications in a wide range of edge devices, from smart speakers to self-driving vehicles.

Since the early days of the digital computer age, the processor has been separated from the memory. Operations performed using a large amount of data require a similarly large number of data elements to be retrieved from the memory storage. This limitation, known as the von Neumann bottleneck, can overshadow the actual computing time, especially in neural networks – which depend on large vector matrix multiplications. These computations are performed with the precision of a digital computer and require a significant amount of energy. However, neural networks can also achieve accurate results if the vector-matrix multiplications are performed with a lower precision on analog technology.

To address this challenge, imec and its industrial partners in imec’s industrial affiliation machine learning program, including GF, developed a new architecture which eliminates the von Neumann bottleneck by performing analog computation in SRAM cells. The resulting Analog Inference Accelerator (AnIA), built on GF’s 22FDX semiconductor platform, has exceptional energy efficiency. Characterization tests demonstrate power efficiency peaking at 2,900 tera operations per second per watt (TOPS/W). Pattern recognition in tiny sensors and low-power edge devices, which is typically powered by machine learning in data centers, can now be performed locally on this power-efficient accelerator. 

“The successful tape-out of AnIA marks an important step forward toward validation of Analog in Memory Computing (AiMC),” said Diederik Verkest, program director for machine learning at imec. “The reference implementation not only shows that analog in-memory calculations are possible in practice, but also that they achieve an energy efficiency ten to hundred times better than digital accelerators. In imec’s machine learning program, we tune existing and emerging memory devices to optimize them for analog in-memory computation. These promising results encourage us to further develop this technology, with the ambition to evolve towards 10,000 TOPS/W”.

“GlobalFoundries collaborated closely with imec to implement the new AnIA chip using our low-power, high-performance 22FDX platform,” said Hiren Majmudar, vice president of product management for computing and wired infrastructure at GF. “This test chip is a critical step forward in demonstrating to the industry how 22FDX can significantly reduce the power consumption of energy-intensive AI and machine learning applications.”

Looking ahead, GF will include AiMC as a feature able to be implemented on the 22FDX platform for a differentiated solution in the AI market space. GF’s 22FDX employs 22nm FD-SOI technology to deliver outstanding performance at extremely low power, with the ability to operate at 0.5 Volt ultralow power and at 1 pico amp per micron for ultralow standby leakage. 22FDX with the new AiMC feature is in development at GF’s state-of-the-art 300mm production line at Fab 1 in Dresden, Germany.

About imec 

Imec is a world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, energy and education.  

As a trusted partner for companies, start-ups and universities we bring together more than 4,000 brilliant minds from almost 100 nationalities. Imec is headquartered in Leuven, Belgium and has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, and offices in China, India and Japan. In 2019, imec’s revenue (P&L) totaled 640 million euro.  Further information on imec can be found at www.imec-int.com. 

Imec is a registered trademark for the activities of IMEC International (a legal entity set up under Belgian law as a “stichting van openbaar nut”), imec Belgium (IMEC vzw supported by the Government of Flanders), imec the Netherlands (Stichting IMEC Nederland, part of Holst Centre and OnePlanet, supported by the Dutch Government), imec Taiwan (IMEC Taiwan Co.), imec China (IMEC Microelectronics (Shanghai) Co. Ltd.), imec India (Imec India Private Limited) and imec Florida (IMEC USA nanoelectronics design center). 

About GF

GLOBALFOUNDRIES (GF) is the world’s leading specialty foundry. GF delivers differentiated feature-rich solutions that enable its 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 www.globalfoundries.com.

Contacts:

Michael Mullaney
GLOBALFOUNDRIES
518-305-1597
[email protected]

Jade Liu
Imec
T +32 16 28 16 93 // M +32 495 71 74 52
[email protected]

针对AI加速器优化的格芯12LP+ FinFET解决方案已准备投产

采用已验证的平台,依托稳健的生产生态系统,12LP+为人工智能应用设计者提供高效的开发体验,助力产品快速上市
 

加利福利亚州圣克拉拉,2020年6月30日 – 作为先进的特色工艺半导体代工厂,格芯® (GF®)今日宣布其先进的FinFET解决方案12LP+已完成技术认证,准备投入生产。
 
12LP+是格芯推出的差异化解决方案,针对人工智能(AI)训练和推理应用进行了优化。12LP+采用已验证的平台,依托稳健的生产生态系统,为芯片设计师提供高效的开发体验,助力产品快速上市。
 
12LP+引入了多项新特性,包括更新后的标准单元库、用于2.5D封装的中介层、低功耗0.5V Vmin SRAM位单元等。这些特性有助于在AI处理器与存储器之间实现低延迟、低功耗数据传输,在性能、功率和面积方面的综合表现也非常出色,从而满足快速增长的AI市场的特定需求。
 
格芯高级副总裁兼计算和有线基础架构战略业务部总经理范彦明(Amir Faintuch)表示:“人工智能正成为我们一生中最具颠覆性的技术。日益明晰的是,AI系统的能效,也就是每瓦特功率可进行的运算次数,将成为公司投资数据中心或边缘AI应用时的关键考虑因素。而格芯新的12LP+解决方案就直面这一挑战,它的设计、优化均以AI为出发点。”
 
12LP+基于格芯成熟的14nm/12LP平台,利用此平台格芯已经交付了100多万片晶圆。格芯的12LP解决方案已被多家公司用于AI加速器应用,包括燧原科技(Enflame)、Tenstorrent等公司。通过与AI客户紧密合作并借鉴学习,格芯开发出12LP+,为AI领域的设计师提供更多差异化和更高价值,同时最大限度地降低他们的开发和生产成本。
 
12LP+的性能提升包括SoC级逻辑性能相比12LP提升20%,逻辑区面积微缩10%。12LP+的进步得益于它的下一代标准单元库、面积优化的高性能组件、单鳍片单元、新的低电压SRAM位单元,以及改良的模拟版图设计规则。
 
12LP+是专业应用解决方案,结合格芯的AI设计参考包和格芯的联合开发、封装及晶圆厂后端交钥匙服务,共同构成完整体验,设计出针对AI应用优化的低功耗、高性价比电路。格芯与生态系统合作伙伴密切协作,有利于降低开发成本,加快产品上市。
 
除了12LP的现有IP组合外,格芯还将扩展12LP+的IP验证,包括面向主机处理器的PCIe 3/4/5和USB 2/3、面向外部存储器的HBM2/2e、DDR/LPDDR4/4x和GDDR6,以及有助设计师和客户实现小芯片架构的芯片到芯片互连功能。
 
格芯12LP+解决方案已经通过认证,即将在纽约州马耳他的格芯8号晶圆厂投入生产。2020年下半年将安排多次12LP+投片。格芯最近宣布8号晶圆厂将贯彻美国国际武器贸易条例(ITAR)标准及出口管制条例(EAR)。这些全新的管制保证将于今年晚些时候生效,以保护8号晶圆厂生产制造的国防相关应用、设备或组件的保密性和完整性。

点击此处进一步了解格芯12LP 12nm FinFET技术。
 
关于格芯
格芯®(GLOBALFOUNDRIES®)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。如需了解更多信息,请访问www.globalfoundries.com.cn
 

Optimized for AI Accelerator Applications, GLOBALFOUNDRIES 12LP+ FinFET Solution Ready for Production

Built on a proven platform with a robust production ecosystem, 12LP+ offers AI application designers an efficient development experience and fast time-to-market

Santa Clara, Calif., June 30, 2020 – GLOBALFOUNDRIES® (GF®), the world’s leading specialty foundry, today announced its most advanced FinFET solution, 12LP+, has completed technology qualification and is ready for production.

GF’s differentiated 12LP+ solution is optimized for artificial intelligence (AI) training and inference applications. Built on a proven platform with a robust production ecosystem, 12LP+ offers chip designers an efficient development experience and a fast time-to-market.

Contributing to its best-in-class combination of performance, power and area, 12LP+ introduces new features including an updated standard cell library, an interposer for 2.5D packaging, and a low-power 0.5V Vmin SRAM bitcell that supports the low latency and power-efficient shuttling of data between the AI processors and memory. The result is a semiconductor solution engineered to meet the specific needs of the fast-growing AI market.

“Artificial intelligence is on a trajectory to become the most disruptive technology of our lifetime,” said Amir Faintuch, senior vice president and general manager of Computing and Wired Infrastructure at GF. “It is increasingly clear that the power efficiency of AI systems – in particular how many operations you can wrest from a watt of power – will be among the most critical factors a company considers when deciding to invest in data centers or edge AI applications. Our new 12LP+ solution tackles this challenge head-on. It has been engineered and optimized, obsessively so, with AI in mind.”

12LP+ builds upon GF’s established 14nm/12LP platform, of which GF has shipped more than one million wafers. GF’s 12LP is being used by companies including Enflame, Tenstorrent, and others for AI accelerator applications. By partnering closely and learning from AI clients, GF developed 12LP+ to provide greater differentiation and increased value for designers in the AI space while minimizing their development and production costs.

Driving the enhanced performance of 12LP+ are features including a 20-percent SoC-level logic performance boost over 12LP, and a 10-percent improvement in logic area scaling. These advancements are achieved in 12LP+ through its next-generation standard cell library with performance-driven area optimized components, single Fin cells, a new low-voltage SRAM bitcell, and improved analog layout design rules.

12LP+, a specialized application solution, is augmented by GF’s AI design reference package, as well as GF’s co-development, packaging, and post-fab turnkey services – which together enable a holistic experience for designing low-power, cost-effective circuits optimized for AI applications. Close collaboration between GF and its ecosystem partners results in cost-effective development costs and a quicker time to market.

In addition to 12LP’s existing IP portfolio, GF will expand the IP validations for 12LP+ to include PCIe 3/4/5 and USB 2/3 to host processors, HBM2/2e, DDR/LPDDR4/4x and GDDR6 to external memory, and chip-to-chip interconnect for designers and clients pursuing chiplet architectures.

GFs’ 12LP+ solution has been qualified and is currently ready for production at GF’s Fab 8 in Malta, New York. Several 12LP+ tape-outs are scheduled for the second half of 2020. GF recently announced it would bring its Fab 8 facility into compliance with both the U.S. International Traffic in Arms Regulations (ITAR) standards and the Export Administration Regulations (EAR). These new control assurances, which will go into effect later this year, will make confidentiality and integrity protections available for defense-related applications, devices or components manufactured at Fab 8.

Click here to learn more about GF’s 12LP 12nm FinFET technology.

About GF

GLOBALFOUNDRIES (GF) is the world’s leading specialty foundry. GF delivers differentiated feature-rich solutions that enable its 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 www.globalfoundries.com.

Contact:

Michael Mullaney
GLOBALFOUNDRIES
518-305-1597
[email protected]

PDK:实现硅晶设计一次性成功的关键要素

撰文:Gary Dagastine

在汽车等对故障零容忍的应用领域中,集成电路(IC)变得越发复杂,愈加重要,为此,准确建模和验证IC设计在给定应用中的性能和可靠性,是当前急需具备的重要能力。这种能力是实现硅晶设计一次性成功的关键,也是工艺设计套件(PDK)这种低调的实用工具如今备受关注的原因所在。

PDK是一组描述半导体工艺细节的文件,供芯片设计EDA工具使用。客户会在投产前使用晶圆厂的PDK,确保晶圆厂能够基于客户的设计生产芯片,保证芯片的预期功能和性能。

格芯®(GLOBALFOUNDRIES®)努力保障客户能使用PDK快速而经济地创建针对特定应用的IC,发挥格芯差异化技术平台提供的独特优势。

格芯设计实现副总裁Richard Trihy表示:“PDK是我们与客户之间的主要接口与重要触点,因为如果客户无法在格芯PDK中找到达成功耗、性能与面积(PPA)目标的方法,他们就不会与我们合作。”

他说:“仅去年一年,我们就发布了数百个不同的PDK,充分证明了格芯的解决方案不仅功能丰富,还高度差异化。但考虑到PDK可能有几百GB大,包含数以万计的文件,所以我们也力求在我们的不同技术平台上实现标准化接口,让PDK更加灵活、更具交互性,更易于下载和使用。”

在Trihy的领导下,格芯去年从多个方面推进了PDK研发工作,包括:扩充格芯设计与工程团队的规模和职能,使之能在整个设计过程中充分配合客户;执行战略投资,比如并购Smartcom的125人PDK工程团队;开发符合应用需求的差异化PDK功能;扩展格芯的合作伙伴生态系统。

PDK中包含什么?

在格芯PDK中,包含以下内容:

  • 技术文件 – 描述相关设计规则与设计规则检查工具;  
  • 参数化单元(PCell) – 描述晶体管(及其他器件)的可能定制方法,供设计师在EDA工具中使用;
  • 寄生参数提取及版图与原理图对照文件 – 描述半导体器件,供EDA工具识别版图中的器件并在网表中准确呈现;
  • 器件型号 – 描述模拟中用到的所有无源和有源器件(如晶体管)的电气行为。 

除此之外,PDK中还包含很多其他组件技术文件,例如布局与布线、填充、EM/IR、电磁模拟和需要额外支持的专业EDA工具。另外,有多家EDA供应商提供彼此竞争的工具,而格芯设计支持部门的部分工作就是为客户需要的各种工具提供支持。

Trihy称:“有两个要素对我们的设计支持与PDK交付工作至关重要。第一个关键要素是质量保证(QA)。PDK QA团队不仅要验证PDK的每个组件是否准确无误,还要验证工具间的接口和总体设计流程是否正确且恰当。” 

他表示:“第二个关键要素是一系列参考流程和设计指南,用于描述设计流程如何运作,并为客户提供建议,帮助客户利用PDK取得理想结果。作为参考流程的一部分,我们的团队会与EDA供应商密切协作,确保格芯差异化技术背后的所有主要特性都在工具中得到支持。”

Trihy解释道,随着芯片设计在功能层面变得日益复杂,设计方法指南也变得越来越重要。高度集成的片上系统(SoC)设计包含收发器、计算、模拟和非易失性存储模块,需要相应的参考流程加以辅助。

Trihy称:“模块级协同设计和2.5D/3D封装正逐渐成为晶圆厂的一大竞争优势,而作为开发合作伙伴,EDA供应商在助力PDK突破芯片层面上发挥着重要作用。出于对信号完整性和热管理的需求,需要使用协同设计方法和支持性CAD工具,且必须涵盖上至毫米波频率的各种工作条件。这是一个非常活跃的开发领域,从长远来看,将在我们的PDK中创建新的内容与结构。而此类挑战对辅助文档和上手指南提出了新的要求。”

格芯移动和无线基础架构业务部门副总裁Peter Rabbeni表示:“我们与生态系统合作伙伴紧密协作,确保格芯的PDK不仅与主流EDA供应商的设计软件无缝接合,也兼容其他常用的第三方工具集。例如,电磁模拟器是毫米波IC设计的关键,我们的客户在电磁模拟器方面会有很多选择,我们的生态系统合作伙伴也会与我们密切合作,将这些电磁模拟器集成进我们的PDK中。”

深入分析可靠性

相比于传统的数据处理应用,任务关键型应用要求对IC性能与可靠性进行更为深入的分析,因而如今的设计师在设计高度集成的复杂IC时面临诸多挑战。

准确建模是关键,因为材料、工艺和封装的可变性,外加寄生现象和加速老化等二次电效应的作用,都会严重影响可靠性。如果PDK无法让设计师就可变性对设计的影响进行充分建模,那按照此设计最终产出的芯片,可能不会在所有条件下都按预期运行,还可能会过早老化和出现意外故障。

此外,晶圆厂的PDK必须确保良好的模型到硬件关联(MHC),让客户能够“所模拟即所得”。格芯企业应用工程组总监Kenneth Barnett表示:“一次性完成硅晶设计是我们的一贯目标,因为客户的芯片越快通过认证,制造成本就越低,也能更快进入市场。然而,纵观整个行业,认证失败依然是个老大难问题。”

他说:“我们经过努力,成为了一次性完成硅晶设计的佼佼者。如今,依托行业先进的射频、可靠性和热耦合模型,我们能够提供出色的MHC成果。我们还创建了一系列参考流程,帮助客户更好地理解怎样使用格芯的差异化技术设计复杂应用的IC,从而提升了我们的一次性成功率。这些参考设计使用各种格芯技术平台构建,包括用于5G/毫米波和卫星通信应用的45RFSOI解决方案,以及用于移动处理器和无线联网、IoT及汽车市场的22FDX® FD-SOI解决方案。”

格芯还不断向自身PDK中加入创新知识产权。格芯的90nm 9HP锗硅(SiGe)解决方案就是一个很好的例子。格芯设计实现团队的技术专家Adam DiVergilio提到了公司新开发的一个算法,这个算法可供设计师使用9HP平台对高度复杂的模型库进行基于可靠性的模拟。“我们的生态系统合作伙伴Cadence在其RelXpert可靠性模拟器中融入了对我们架构的支持,因而现在能够在我们的硅锗PDK中更高效地支持可靠性模拟。”

射频/毫米波的独特优势

据Barnett介绍,格芯的22FDX平台具有良好的通用性,称得上是芯片技术界的“瑞士军刀”。他说:“22FDX为用户提供强大的处理能力,凭借背栅偏置功能,22FDX平台可针对高性能或低功耗使用场景加以调整,良好适应需要模拟/混合信号片上系统的各种应用,因而有了‘瑞士军刀’的美誉。为此,我们得向客户提供尽可能好的PDK,让客户能够充分利用这些功能。”

Barnett举出了在22FDX中对射频/毫米波应用IC设计进行建模和验证的例子。这些应用因为涉及复杂的物理特性,理解起来很困难,但这正代表了格芯的核心竞争力,建立在收购IBM微电子业务所获得的几十年经验基础之上。

Barnett称:“我们PDK中内置的格芯知识产权,让我们的客户能够创建优良的解决方案。例如,在无线通信应用中,格芯22FDX平台用到的PDK,就使客户能够创建功率放大器(PA)与前端集成的解决方案,从而提高输出功率,降低LAN噪声,大幅改善链路预算。”

Peter Rabbeni称,格芯射频/毫米波应用模型的品质非常优异。“我们模型的工作频率高于典型值,高达110 GHz,因为在高频上捕捉器件运行状况很重要。我们使用多年来开发的一套专用方法,在持续改进的过程中,利用物理测试站点将我们的模型与实际测量相关联。”

因此,他表示,格芯PDK使客户能够更容易地适应射频/毫米波设计领域正在经历的重大变迁。5G基础设施的新型大规模多入多出(MIMO)和相控阵系统就是个很好的例子。与之前的系统采用单一信号链不同,这些系统采用了多个功率放大器和信号链来聚合和增强辐射能量信号。由于功率分布在很多元件而非单个元件上,如今这一增强辐射功率的新方法令硅晶成为了砷化镓(GaAs)或氮化镓(GaN)基系统的有力竞争者。

Rabbeni称:“为了从阵列获取优异性能,客户需要知道每个元件可被驱动的程度,但如果没有我们PDK提供的精准可靠性和长效模型,可能不得不在非理想条件下操作PA器件以确保其可靠性。而在这种情况下,为达到预期性能,有可能需要过度设计系统,添置更多PA,导致成本和功率预算大幅增加。”

 

PDKs: Powerful Enablers of First-Pass Silicon Success

by Gary Dagastine

As integrated circuits (ICs) become more complex and vital in applications where failure can’t be tolerated – such as automotive – the ability to accurately model and verify a proposed IC design’s performance and reliability in a given application has taken on urgent importance. This ability is critical to achieving first-pass successful silicon, and it is why that humble workhorse, the process design kit (PDK), now finds itself in the spotlight.

The PDK is a collection of files which describe the details of a semiconductor process to the EDA tools used to design a chip. Clients use a foundry’s PDKs prior to production to ensure that the foundry can produce chips based on their designs, and that they will work as intended.

GLOBALFOUNDRIES has a major effort underway to ensure that its PDKs give clients an unrivaled ability to quickly and cost-effectively create ICs optimized for applications where GF’s differentiated technology platforms offer unique advantages.

“PDKs are the primary interface and the most important touchpoint a client has with us, because if the client doesn’t see a way to achieve its power, performance and area (PPA) goals within a GF PDK, then they’re not going to engage with us in the first place,” said Richard Trihy, GF’s vice president of design enablement.

“Last year alone we released hundreds of different PDKs, which is a testament to GF’s highly differentiated and feature-rich solutions,” he said. “But given that a PDK can be hundreds of gigabytes in size, and may have tens of thousands of individual files, our goal also has been to make them more nimble, interactive, and easier to download and use, with standardized interfaces across our diverse technology platforms,” he said.

Led by Trihy, GF’s focus on PDKs over the past year has benefited from initiatives on multiple fronts. These include expansion of the size and capabilities of GF’s design and engineering teams, which are available to work with customers throughout the design process; strategic investments like the acquisition of the 125-person PDK engineering team from Smartcom; development of differentiated PDK features that are matched to application requirements; and growth of GF’s partner ecosystem.

So What’s in a PDK?

In a GF PDK you will find:

  • Technology files that describe the relevant design rules, along with design rule checking tools;  
  • Parameterized cells, or PCells, which describe the possible customizations of  transistors and other devices) which are available to designers in the EDA tools;
  • Parasitic-extraction and layout-versus-schematic decks that describe a semiconductor, so that an EDA tool can recognize devices in a layout and generate accurate representation in a netlist;
  • Device models that describe the electrical behavior of all the passive and active devices (i.e., transistors) to be used in a simulation. 

There are many other component tech files in the PDK such as place-and-route, fill decks, EM/IR, electromagnetic simulation and specialty EDA tools that need additional enablement. In addition, multiple EDA vendors provide competing tools, and part of the job of GF’s Design Enablement organization is to enable all of those tools that our clients need.

“Two key elements are critical to our design enablement and PDK delivery,” Trihy said. “The first is quality assurance, or QA. The PDK QA team verifies not only that each component of the PDK is correct, but that the interfaces between the tools and the overall design flow is correct. 

“The second key element is a collection of reference flows and design guidelines, which are essential in representing how the design flow works and for providing recommendations to our clients to get the best results with the PDK,” he said. “As part of a reference flow, our team collaborates very closely with EDA vendors to ensure all key features enabling GF’s differentiated technology are supported in the tools.

Trihy explained that as chip designs increase in functional complexity, guidance on design methodology becomes increasingly important. Reference flows for highly integrated SoC designs are needed which incorporate transceiver, compute, analog, and non-volatile memory blocks.

“Enabling block-level co-design together with 2.5D/3D packaging is emerging as a competitive foundry differentiator, and EDA vendors play a key role as development partners to expand the PDK horizon beyond the chip-level,” he said. “Signal integrity and thermal management drive co-design methods and supporting CAD tools, which must comprehend a diverse range of operating conditions up to millimeter-wave frequencies. This is a very active area of development which will create new content and structure in our PDKs over the long run. Such challenges place new demands on documentation and guidelines which sustain ease-of-use.”

Peter Rabbeni, vice president of GF’s Mobile & Wireless Infrastructure business unit, said, “We work closely with our ecosystem partners to ensure that GF’s PDKs interface seamlessly not only with design software from leading EDA vendors but also with other commonly used third-party toolsets. For example, clients have many options when it comes to choosing an electromagnetics simulator, which is critical for the design of mmWave ICs. Our ecosystem partners work closely with us to integrate them into our PDKs.”

A Deep Dive Into Reliability

Designers of today’s complex, highly integrated ICs face many challenges, given that mission-critical applications require a much deeper analysis of IC performance and reliability than is typical with chips destined for more traditional data-processing applications.

Accurate modeling is key because variability in materials, processing and packaging – along with the impact of secondary electrical effects such as parasitics and accelerated aging – have a major impact on reliability. If a PDK is incapable of allowing a designer to adequately model the effects of variability on a design, then the chip which is ultimately produced based on that design may not work as intended under all conditions, and/or it may age prematurely and fail unexpectedly.

In addition, the foundry’s PDKs must ensure there is good model-to-hardware correlation (MHC), so that what clients simulate is what actually gets built. “First-pass success in silicon is always the goal because the faster a client’s chip can be qualified, the lower its manufacturing costs will be and the faster it can get to market. However, across the industry, qualification failures continue to be a huge problem,” said Kenneth Barnett, director of GF’s corporate application engineering group.

“We’ve worked hard to become a leader in first-pass success, and we now offer superior MHC results, based on the industry’s best RF, reliability and thermal coupling models,” he said. “We’ve also created a number of reference flows that add to our first-pass success rates by helping clients better understand how to design ICs for complex applications using GF’s differentiated technologies. These reference designs have been built using various GF technology platforms; among them are our 45RFSOI solution for 5G/mmWave and SatComm applications, and our 22FDX® FD-SOI solution for mobile processors and the wireless networking, IoT and automotive markets.”

GF is also continually adding innovative IP to its PDKs. A case in point is GF’s 90nm 9HP SiGe solution. Adam DiVergilio, technical expert on GF’s design enablement team, pointed to a new algorithm GF developed that enables designers working with the 9HP platform to make reliability-based simulations for libraries of highly complex models. “Our ecosystem partner Cadence incorporated support for our architecture into its RelXpert reliability simulator, and as a result we are now able to more efficiently support reliability simulations in our SiGe PDKs.”

Unique Advantages for RF/mmWave

GF’s 22FDX platform can fairly be called the “Swiss Army Knife” of chip technology because of its versatility, according to Barnett. “22FDX offers users substantial processing power, and its back-biasing capability enables it to be tailored for either high performance or low power uses, making it well-suited to diverse applications that require analog/mixed-signal SoCs, hence the nickname,” he said. “Therefore, we have to provide our clients with the best PDKs possible so that they can take full advantage of these features.”

He gave the example of modeling and verifying IC designs in 22FDX for RF/mmWave applications. These are among the most difficult applications to fully understand given the complex physics involved, but they represent a core competency for GF, based on the decades of experience gained with the IBM Microelectronics acquisition.

“The proprietary GLOBALFOUNDRIES IP embedded in our PDKs enables clients to create far better solutions than they could anywhere else,” Barnett said. “For example, in wireless communications applications, the PDKs for use with GF’s 22FDX platform enable clients to create solutions where the power amplifier (PA) is integrated with the front-end, which results in higher output power, lower LNA noise, and a dramatically improved link budget.”

Peter Rabbeni said the quality of GF’s models for RF/mmWave applications is unmatched. “We characterize our models well above typical operating frequencies, up to 110 GHz, because it is important to capture device operation at these high frequencies. We use a proprietary methodology which we have developed over many years, and we leverage physical test sites that enable us to correlate our models with actual measurements in a process of continuous improvement.”

As a result, he said, GF’s PDKs are enabling clients to adapt more easily to seismic shifts in RF/mmWave design that are taking place. One example is newer massive MIMO and phased array systems for 5G infrastructure, which use multiple power amplifiers and signal chains to aggregate and develop the radiated energy signal rather than a single signal chain that we have seen in previous systems. This new approach to the development of radiated power now makes silicon a very powerful contender against GaAs or GaN-based systems since the power is distributed across many elements rather than just a single element.

“The ability to extract the best performance from the array requires a client to know how much each element can be driven, but if you didn’t have the benefit of accurate reliability and lifetime models that are available in our PDKs, you might be forced to operate a PA device at less than ideal conditions to ensure its reliability,” Rabbeni said. “And in that case, one might need to overdesign the system with many more PAs, at much greater cost, and with a much higher power budget in order to achieve the desired performance.”