Abstract: In the twilight of Moore’s law, optimizing program performance has emerged as a central focus in computer architecture research. Yet, high-level source optimization remains challenging due ...
Reference implementation of high-performance PyTorch, CUDA, and Triton workloads for NVIDIA Blackwell platforms. The repository packages 20 focused chapters, advanced labs, and the shared benchmarking ...
Abstract: Pre-trained code models are essential for various code intelligence tasks. Yet, their effectiveness is heavily influenced by the quality of the pre-training dataset, particularly ...
DeerFlow 2.0 is a ground-up rewrite. It shares no code with v1. If you're looking for the original Deep Research framework, it's maintained on the 1.x branch — contributions there are still welcome.
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