Adam Johnson introduces profiling-explorer, a new tool designed to explore Python profiling data stored in pstats files through an interactive web interface. The tool provides a more convenient and modern alternative to the standard command-line pstats interface, featuring dark mode, column sorting, search filtering by filename or function, and easy navigation between callers and callees.
* table-based UI for inspecting call counts, internal time, and cumulative time in milliseconds.
* low-overhead sampling profiler (Tachyon) in Python 3.15.
* table-based UI for inspecting call counts, internal time, and cumulative time in milliseconds.
* low-overhead sampling profiler (Tachyon) in Python 3.15.
This blog post details how to implement high-performance matrix multiplication using NVIDIA cuTile, focusing on Tile loading, computation, storage, and block-level parallel programming. It also covers best practices for Tile programming and performance optimization strategies.
