2 repos
Tools and libraries for controlling memory allocation, layout, and lifecycle in low-level or performance-critical applications.
Distinguishing note: Focuses on static allocation and memory layout control rather than general-purpose garbage collection or heap management.
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Whisper.cpp is a high-performance, local-first speech recognition engine designed to run large-scale machine learning models on consumer hardware. It functions as a portable library that converts audio into text, supporting both static file transcription and real-time stream processing. By utilizing a lightweight inference engine and weight quantization, the project minimizes memory and compute overhead, allowing for efficient execution without reliance on external cloud APIs or internet connectivity. The project distinguishes itself through a hardware-agnostic compute abstraction that offloa
Minimizes runtime overhead and prevents fragmentation by pre-allocating fixed memory buffers for model weights and intermediate computation states.
Fiber is a high-performance web framework designed for building scalable HTTP services with minimal memory overhead. It provides a comprehensive runtime environment for managing the full request lifecycle, utilizing an optimized radix tree for high-speed route matching and an object pooling system to reduce garbage collection pressure during traffic processing. The framework distinguishes itself through its multi-process architecture, which supports prefork socket reuse to distribute incoming traffic across all available CPU cores. It offers a modular approach to application development, feat
Reduces garbage collection pressure by recycling request and response objects through a managed pool during the request lifecycle.