Oct 2026· IEEE transactions on computers· Vol 75, pp. 3643-3652· 1 citation· 33 references
Abstract
Owing to increased power density with each newer technology node, transistors suffer from increased Self-Heating (SH) at room temperature, which is a daunting challenge for circuits and processors’ reliability. Given the increasing interest in leveraging cryogenic temperatures to enhance the performance and energy efficiency of computing systems, understanding SH effects at cryogenic temperatures is critical for the reliability and optimization of such systems. This work presents a comprehensive investigation of SH effects from the transistor to the processor level on the advanced 5 nm FinFET node under cryogenic conditions, specifically at 77 K. Further, it presents a pioneering comparison of SH effects between 5 nm FinFET and 28 nm FDSOI transistors at 77 K. Our findings reveal that FinFET devices on bulk substrate, despite their 3D-confined structure and reduced scale to extreme 5 nm, exhibit better thermal characteristics compared to FDSOI devices at 77 K. This is primarily attributed to the inherent design of FDSOI devices, where the buried oxide layer acts as a thermal barrier, thereby significantly restricting heat dissipation. Further, we explore the standard cell libraries and a processor core operating at 77 K with and without i) SH effect and ii) scaled parasitic resistance using 5 nm FinFETs. The exploration undertaken in this study not only demystifies the thermal behavior of a cutting-edge 5 nm technology under extremely low temperatures but also establishes a new paradigm in selecting technologies for future high-performance computing applications at cryogenic temperatures. It opens new avenues for the development of more efficient and reliable computing systems, paving the way for future innovations in cryogenic computing.
Scalable memory systems that satisfy the temperature, speed, and energy requirements of cryogenic environments are essential for the development of large-scale quantum computers. They may also benefit high-performance computing and space applications. However, existing cryogenic memory technologies often suffer from li...
In this work, we report a structurally optimized design of 7-nm InGaAs-SOI complementary FinFET, and demonstrate thermal reliability of InGaAs-based logic device and circuit-level behavior over a wide temperature range of ˜200 to ˜700 K. The proposed 7-nm InGaAs–SOI FinFET with optimized fin architecture achieves Vth...
J. Gurjar, Neeraj Goel, D. K. Jarwal et al.· ECS Journal of Solid State S...· 0 citations
The International Roadmap for Devices and Systems (IRDS) has identified the tunnel field-effect transistor (TFET) as the most promising next-generation logic device that enables sustainable downscaling in driving voltage and power consumption. Demonstrating an acceptable sub-Boltzmann-limit ON current (namely I60, the...
Ze-Han Wu, Ke Yang, Wan-Qing Meng et al.· Science· 0 citations
Cryogenic operation of CMOS read-out integrated circuits (ROICs) is essential for high-performance infrared focal plane arrays but significantly affects carrier transport and device reliability. This work investigates hot-carrier injection (HCI) mechanisms in 180 nm NMOS transistors operating from room temperature down...
Ayoub El El Abdi, P. Martin-Gonthier, Valentin Badefort-Baril· Italian National Conference...· 0 citations
Automotive-grade (Grade-0) phase-change memory (PCM) requires thermally stable materials and device architectures that enable fast SET operation under elevated temperatures. While enhanced thermal stability is essential for high-temperature data retention, it often comes at the expense of slower SET dynamics. Here, we...
Salman Khan, Sakthikumaran Panneerselvam, A. Manivannan· Applied Physics Letters· 0 citations
The continuous scaling of conventional CMOS technology has posed critical challenges for modern electronic systems, including high power consumption and limited memory density. The major challenge in current computing systems is the von Neumann bottleneck, which arises from frequent data transfers between memory and...
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
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