Blog posts discussing the technical implementation detail "Arena-Allocation"
← Back to all tagsBlog posts discussing the technical implementation detail "Arena-Allocation"
← Back to all tagsThe integration of reactive programming into the Fidelity framework presents a fascinating challenge at the intersection of practical engineering and algorithmic integrity. While exploring various reactive models, we discovered valuable insights from Ken Okabe’s Timeline library - a minimalist F# implementation that demonstrated how powerful reactive systems could be built with remarkably little code. This simplicity was a key inspiration for Alloy.Rx, though we’ve evolved the concepts to align with Fidelity’s unique architectural requirements.
Read MoreAs we’ve established in previous entries, FidelityUI’s zero-allocation approach provides an elegant solution for embedded systems and many desktop applications. But what happens when your application grows beyond simple UI interactions? When you need to coordinate complex business logic, handle concurrent operations, and manage sophisticated rendering pipelines? This is where the Olivier actor model and Prospero orchestration layer transform FidelityUI from a capable UI framework into a comprehensive application architecture that scales to distributed systems, all while maintaining deterministic memory management through RAII (Resource Acquisition Is Initialization) principles.
Read MoreHere at SpeakEZ we’re rethinking how developers interact with memory management in systems programming. The conventional wisdom suggests we face a stark choice: embrace the ubiquitous memory burdens of Rust or abdicate all memory concerns and accept the performance penalties of garbage collection. We believe there’s a better way. Mandatory vs. Optional Memory Management Rust’s borrow checker has revolutionized systems programming by statically preventing memory safety issues, but it comes at a significant cost: every line of code must consider ownership and borrowing.
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