Blog posts exploring the concept "Embedded-Systems"
← Back to all tagsBlog posts exploring the concept "Embedded-Systems"
← Back to all tagsSoftware verification has always forced a cruel choice: accept runtime overhead for safety checks, or trust that your optimizing compiler won’t break critical invariants. Traditional compilers treat proofs as obstacles to optimization, while proof assistants have a reputation (earned or not) that they generate code too conservative for production use. But what if verification and optimization weren’t opposing forces but complementary dimensions of the same compilation process? The Fidelity Framework’s hypergraph architecture makes this vision real by treating proof obligations as first-class hyperedges that guide, not hinder, aggressive optimization.
Read MoreA startup’s gene analysis samples nearly melted because someone confused Fahrenheit and Celsius in their monitoring system. A Mars orbiter was lost because of mixed metric and imperial units. Medication dosing errors have killed patients due to milligrams versus micrograms confusion. These aren’t edge cases - they’re symptoms of a fundamental problem in how we build mission-critical systems: Most languages approach types as an afterthought rather than a first line of defense.
Read MoreThe journey of creating a native UI framework for F# presents a fascinating challenge: how do we preserve the elegant, functional programming experience that F# developers love while compiling to efficient native code with (in most cases) zero heap allocations? As we build FidelityUI, the UI framework for the Fidelity ecosystem, we find ourselves at the intersection of functional programming ideals and systems programming realities. Fortunately, we don’t have to start from scratch.
Read MoreCreating software with strong correctness guarantees has traditionally forced developers to choose between practical languages and formal verification. The Fidelity Framework addresses this challenge through a groundbreaking integration of F# code, F* proofs, and MLIR’s semantic dialects. This essay explores how the Fidelity Framework builds upon the semantic verification foundations introduced in “First-Class Verification Dialects for MLIR” (Fehr et al., 2025) to create a unique pipeline that preserves formal verification from source code to optimized binary.
Read MoreThis entry examines the architectural rationale behind avoiding the creation of yet another managed runtime system, instead advocating for our actor-oriented approach. As computing platforms continue to diversify across embedded systems, mobile devices, edge computing, and specialized accelerators, the traditional monolithic runtime model faces increasing challenges. Our approach with the Olivier/Prospero actor model provides the security benefits of managed memory without the restrictions and overhead of conventional runtimes. THE RUNTIME LANDSCAPE: A REPEATING CYCLE The Legacy of Monolithic Runtimes Traditional runtimes like the JVM and .
Read MoreThe embedded systems industry has operated under a fundamental assumption for decades: achieving hardware control requires sacrificing high-level abstractions and type safety. This assumption has created a divide between embedded development and modern software engineering practices, forcing developers to choose between expressiveness and efficiency. The Fidelity Framework challenges this paradigm through a revolutionary approach that delivers hardware type safety with truly zero runtime cost, a breakthrough in hardware/software co-design methodology.
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