Oct 2026· IEEE transactions on computers· Vol 75, pp. 3643-3652· 0 citations· 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.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
The perception of the impact of agile methods is predominantly positive, and several challenge areas were discovered, but based on this study, agile methods are here to stay.
M. Laanti, O. Salo, P. Abrahamsson· Information and Software Tec...· 260 citations· ⚡20
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 9, 2026
A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
MIT News · Artificial Intelligence· news.mit.eduSep 2, 2026
What if pathology foundation models could do more with less? GigaPath-Flash and GigaTIME-Flash cut computational demands while maintaining strong performance, opening the door to larger studies and broader exploration. The post GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models appeared first on Microsoft Research.
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