Abstract: Highly efficient parallel processing of photonic tensor cores is required for on-chip implementation of photonic neuromorphic algorithms. These photonic tensor cores are realized using ...

Enables TF32/BF16 Tensor Core fast paths in PyTorch via safe auto-detection, with auditable, reversible flag application and reproducible benchmarks. A reproducible performance protocol packaged as ...

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

This repository provides accurate tensor core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1]. The initial analysis of ...

TL;DR: NVIDIA CUDA 13.1 introduces the largest update in two decades, featuring CUDA Tile programming to simplify AI development on Blackwell GPUs. By abstracting tensor core operations and automating ...

Deep-learning throughput hinges on how effectively a compiler stack maps tensor programs to GPU execution: thread/block schedules, memory movement, and instruction selection (e.g., Tensor Core MMA ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

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