The ever-growing scale of high-performance computing systems, particularly with the transition to exascale computing, has underscored the critical need for robust fault tolerance. As these systems ...

In the context of deep learning model training, checkpoint-based error recovery techniques are a simple and effective form of fault tolerance. By regularly saving the ...

Centralization in the AI industry is driven by the concentration of capital in large companies. Decentralization technologies can address both funding and operational challenges in AI. Crypto rails ...

In contrast to centralized systems, distributed software systems add an entire new layer of complexity to the already difficult problem of software design. In spite of that, for a variety of reasons, ...