Distributed parameter systems are characterised by dynamics that evolve over both time and spatial domains, demanding control formulations in infinite-dimensional spaces. Governed by partial ...
Nonlinear distributed parameter systems represent a class of complex systems characterised by spatially continuous dynamics and inherent nonlinearities, often described by partial differential ...
The team received the Test of Time Award for their paper, GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server. The paper addresses the challenges of scaling deep ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results