Abstract: Some aspects of this disclosure are directed automated performance tuning of a hardware description language (HDL) simulation system. For example, some aspects of this disclosure relate to a method, including generating, by a first subsystem optimizer, a plurality of recommendations corresponding to a first subsystem of a hardware description language (HDL) simulation system. The plurality of recommendations are generated by the first subsystem optimizer using one or more optimization applications. The method further includes generating, by the first subsystem optimizer, a first aggregate recommendation by combining the plurality of recommendations corresponding to the first subsystem of the HDL simulation system. The method further includes updating a configuration of the first subsystem of the HDL simulation system based on the first aggregate recommendation, wherein the HDL simulation system is configured to simulate a circuit design using the updated configuration during execution of the first subsystem.

Abstract: The configuration describes the methods to transform the execution of an Android app running locally on an Android device to a client-server model of execution where the app executes on a modified version of Android on a server. Unlike a traditional client-server model where the application executes within the server environment, the Android app on the server requires delegation of some functionality to client environment. The proposed configuration also describes the methods for delegating the execution of selected components of Android stack to the Client Device. The client may be a browser or any web connected device.

Abstract: During simulation of an IC design, traces of certain signals can be generated, thereby allowing defects in the design to be detected. The traces of these signals, i.e. the target set, are typically saved in a value change file. Unfortunately, this value change file can get very large, thereby causing capacity and performance problems. A technique is described in which a subset of signals that can regenerate the target set of signals is determined. Determining the subset of signals can include identifying state elements (e.g. edge-triggered devices) and corresponding signal dependencies of the IC design. Advantageously, only this subset of signals needs to be saved in the value change file, thereby significantly reducing its size. The target set of signals can be computed on demand after reading the value change file.