Why do so many AI agent tool calls run on the CPU? Drawing on NVIDIA's CUDA guide and a research paper: GPUs can execute branches, and divergent branches run one after another. In SWE-Agent, doubling ...

In this article, I will introduce what I did and the challenges I encountered along the way. What is pure-onnx-ocr? PaddleOCR is an OCR engine released by Baidu. It is highly accurate and supports ...

The open-source AI slashed non-test Python code from 1.06 million lines to 698,000—a 34.4% cut—while shrinking key files like gateway/run.py. This $19,300 effort would have cost humans $150,000 to ...

Catalyst is a small data engineering cooperative working on electricity regulation and climate change. Catalyst Cooperative is a data engineering and analysis consultancy, specializing in energy ...

Kernel developers do a lot of kernel builds. Since the kernel is not a small program, those builds can take a fair amount of time, even on a fast machine. The kernel also has a complex build system; ...

POLAR EMS is an advisory-first, offline-first energy management prototype for a polar station microgrid: diesel gensets, solar PV, wind, a battery, and one deferrable load (snow-melt / water-maker).

For last-minute preparation for the Fundamental Information Technology Engineer Examination, I have organized key terms for Subject A and algorithms/information security for Subject B by field. In ...

Ray is an open-source distributed framework for parallelizing Python and AI applications. As a python-native framework that supports unstructured data formats and orchestration over heterogeneous ...

本文围绕 Ray 官方文档中的反模式 "Over-parallelizing with too fine-grained tasks harms speedup"，用可复现的基准代码对比"串行 / 过细粒度并行 / 批量并行"三种写法的真实耗时，并结合源码剖析开销来源，给出批大小选择、任务粒度划分等实战建议，帮助你写出真正能跑出加速比而非负优化效果的 Ray 程序。