image: RUDN University mathematician and his colleagues from France and Hungary developed an algorithm for parallel computing, which allows solving applied problems, such as electrodynamics or ...

MemryX has now signed an agreement with a next-generation 3D memory partner to execute a dedicated 2026 test chip program, validating a targeted 5um-class hybrid-bonded interface and direct-to-tile ...

Technical Introduction The proliferation of heterogenous computing and associated complexity of multiple vendor hardware offerings introduces a combinatorial explosion in platform diversity. From the ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Unlike standalone computers, these growing networks seldom offer centralized scheduling and resource allocation. Instead, computational processes (the active execution of programs) migrate from ...