Search Results for "gpu processing"

...It favors intuition, practical context, and connected explanations over dense textbook notation. Its chapters cover vectors, matrices, calculus, statistics, probability, machine learning, language processing, computer vision, speech, multimodal learning, robotics, and graph neural networks. It also addresses operating systems, algorithms, production software, GPU programming, AI inference, and ML systems design. Readers need only elementary mathematics and basic Python knowledge to begin. A bundled MCP server lets compatible AI assistants use the locally cloned compendium as a knowledge base. ...

Documentation, simulator, compiler, and Verilog implementation of a completely open-architecture graphics processing unit. This design is intended for academic and commercial purposes. The first step is to develop a detailed GPU simulator and compiler. The second step is to implement the GPU in synthesizable Verilog. The third step is to develop a feedback loop between the simulator and implementation, allowing power, performance, and reliability aspects of the hardware to feed back into ever more detailed and accurate simulations of a complete GPU. ...

This project uses massively parallel Graphics Processing Units(GPU) for neural network(Backpropagation) purposes.

Astrog is a library for performing astronomical calculations, accelerated by using a graphics processing unit (GPU).

Jorik is about using graphics processing units in general purpose (GPGPU) computations: parallel sorting, dynamic PDE and image processing. Jorik is written on C++/DirectX/HSLS, supports both ATI and nVidia cards. It suits for not-gaming GPU benchmarking.