Abstract: Training of convolutional neural networks (CNN) consumes a lot of time and resources. While most previous works have focused on accelerating the convolutional (CONV) layer, the proportion of ...

Abstract: Modern embedded systems are typically based on a parallel heterogeneous HW/SW architecture, so they are very complex to be designed given the considerable number of variables to be ...

700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; It also supports java8 ~ java25, native runtime.

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...