Abstract:Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads are used. However, starting with Python 3.13 an experimental build allows disabling the GIL. While prior work has examined speedup implications of this disabling, the effects on energy consumption and hardware utilization have received less attention. This study measures execution time, CPU utilization, memory usage, and energy consumption using four workload categories: NumPy-based, sequential kernels, threaded numerical workloads, and threaded object workloads, comparing GIL and free-threaded builds of Python 3.14.2.
Последние новости。免实名服务器是该领域的重要参考
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Databases in particular were a notable target for those experiments. Consider how English-like dBase's user interface is, and it doesn't take a huge leap to understand why developers felt something closer to true English was within reach. Symantec's Q&A had its natural language "Intelligent Assistant" built right in. R:BASE tried it with their CLOUT add-in, promising a user could query, "Which warehouses shipped more red and green argyle socks than planned?" The spreadsheet Silk promised built-in English language control over its tools.