… It accelerates the learning speed by aggregating the policy at each system into a central policy
and ensures network adaptability by … both learning acceleration and network adaptability. …

… networks. We first explain how softwarized networks contribute to network adaptability …
function implementations from pure software to software implementations accelerated with …

… 3.3 Network Mapping Method For the proposed accelerator architecture, intuitively, we can
implement dedicated reconfigurable cores for each layer and realize an end-to-end mapping …

… and adaptable hardware accelerators for machine learning. … Neural networks based ML
algorithms give computers the … neural network accelerator-based architectures for Machine …

… into an adaptive compute acceleration platform (ACAP). This … , the adaptive compute
acceleration platform (ACAP), which … all tied together with a high-bandwidth network-on-chip …

… designed to increase digital skill adaptability. This Leaming Skills Bridge learning accelerator
training package (LSB) … Thus, for Network-Centric Warfare to be a success, adaptability in …

… In other words, our work also addresses adaptability to platforms and SLOs. … We pair each
tile with a sub-network size and the tile is taken as input to the sub-network of the size. All the …

… called VNM (Virtual Network Marathon). The VNM employs specially devised treadmills
for running in an immersive virtual environment on a local area network or the Internet. The …

… with adaptable bitwidth, is a flexible solution to accommodate different types of networks and
… In fact, researchers have shown that networks can be compressed [22,23] and represented …

… On the other hand, the heterogeneity of demands and communication types and their
temporal dynamics require a high degree of adaptability in order to operate the network in an …