Developer creates C99 tensor library with GPU acceleration

By PulseAugur Editorial · [1 sources] · 2026-07-14 09:49

A developer has created a single-header, plain C99 tensor library that offers GPU acceleration and can rival PyTorch in performance for certain tasks. The library is designed for training various neural network architectures, including DNNs, CNNs, and LSTMs. Future development plans include adding support for OpenCL, quantization, and transformer models. AI

IMPACT Offers a lightweight, high-performance tensor library for AI development, potentially useful for embedded systems or performance-critical applications.

RANK_REASON This is a single-developer project for a specialized library, not a major industry release or research paper.

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Developer creates C99 tensor library with GPU acceleration

COVERAGE [1]

Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-07-14 09:49

Spent way too much time trying to turn `float*` into a proper tensor library. But it finally works: single-header, plain C99, GPU acceleration, capable of train

Spent way too much time trying to turn `float*` into a proper tensor library. But it finally works: single-header, plain C99, GPU acceleration, capable of training DNNs, CNNs, LSTMs - sometimes even beats pytorch on performance! Still lots of things to add: OpenCL, quantisation, …

LINKS zserge.com/…/tensor github.com/…/utensil

COVERAGE [1]

Spent way too much time trying to turn `float*` into a proper tensor library. But it finally works: single-header, plain C99, GPU acceleration, capable of train

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