by Pavel Panchekha with Ian Briggs and Yash Lad on Jun 3, 2024 | Tags: accuracy, approximation, awards, correctness, optimization, type systems
Numerical code needs to carefully balance accuracy and performance. A new DSL, MegaLibm, makes this easier by checking for numerical correctness and offering flexible compilation to efficient code. By reconceptualizing classic numerical techniques like polynomial approximation and range reduction as type-theoric operations like casts and binding operators, MegaLibm makes numerical code composable, and its ability to plug in mathematical an numerical tools (like Sollya) makes it easier and safer to write such code.
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by Emery Berger and Ben Zorn on Apr 23, 2024 | Tags: AI software, correctness, programming, systems
A Tale of Two Softwares: In a world where AI is revolutionizing the way we interact with technology, a new type of software emerges: AI Software (AISW). But with great power comes great responsibility, and the systems research community must rise to the challenge of ensuring AISW is as robust, secure, and safe as its predecessor, Plain Old Software (POSW).
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by Michael Greenberg, Konstantinos Kallas, and Nikos Vasilakis on Oct 12, 2021 | Tags: correctness, distribution, future, HCI, parallelism, research, safety, security, semantics, shell, synthesis, Unix
With about half a century of life, the Unix shell is pervasive and entrenched in our computing infrastructure—with recent virtualization and containerization trends only propelling its use. A fresh surge of academic research highlights show potential for tackling long-standing open problems that are central to the shell and enable further progress. A recent panel discussion at HotOS ’21 concluded that improvements and research on the shell can be impactful and identified several such research directions. Maybe it’s time for your research to be applied to the shell too?
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