Abstract: Optimization of deep learning models for embedded CPUs presents numerous challenges stemming from limited computational resources, memory constraints, thread synchronization overhead, and ...

Abstract: Python has become increasingly significant in domains such as data science, machine learning, scientific computing, and parallel programming. The libraries CuPy and Numba enable the ...

Kimojio uses a single-threaded, cooperatively scheduled runtime. Task scheduling is fast and consistent because tasks do not migrate between threads. This design works well for I/O-bound workloads ...