Introduction

MXMACA is a computing platform launched by Gladiator Micro that adopts a general parallel computing architecture to solve complex computing problems. It incorporates a self-developed instruction set architecture (ISA) and a parallel computing engine within the GPU, integrating general computing and machine learning frameworks. It provides scientists, researchers, and industry experts in various application fields with a highly flexible and high-performance open software platform.

Flexible programming language

This computing platform offers a simple and easy-to-use C-like programming language for users to write programs for the MXMACA architecture, enabling it to run at ultra-high efficiency on METAX GPU processors. This programming language has a simple and flexible grammar, is easy to read and write, and has outstanding expressive ability. At the same time, it can be compatible with mainstream C/C++ heterogeneous computing languages, enabling users to obtain convenient software adaptation and efficient customer operator development.

Support multiple open-source technologies

The MXMACA heterogeneous computing platform supports a variety of open-source technologies, including AI neural network frameworks (such as TensorFlow/PyTorch), libraries (such as Blas/DNN), and Linux Kernel support, etc. Through continuous optimization, it achieves higher performance and scalability, helping users better empower society with AI. Meanwhile, the MXMACA computing platform offers a wealth of system and application management tools, enabling users to carry out flexible development, verification, environment deployment, and quality monitoring more efficiently.