The invention determines a method that compares the performance of different gaming devices. The method makes use of simultaneously played videos that consist of identical, in terms of the video game played and the starting point of the video, gameplay footage to allow the user to compare the performances of the selected devices through visual inspection. A single button, when clicked, will begin the simultaneous play of all videos. In addition, the number of videos that will be simultaneously played is equal to the number of devices chosen by the user, with one video corresponding to each chosen device. Performance data will be displayed in frames per second (FPS), graphics processing unit usage (GPU) and central processing unit usage (CPU).
Optimization Of Application Workflow In Mobile Embedded Devices
- Armonk NY, US Pradip Bose - YORKTOWN HEIGHTS NY, US Alper Buyuktosunoglu - White Plains NY, US Chen-Yong Cher - Port Chester NY, US Hans M. Jacobson - White Plains NY, US William J. Song - Atlanta GA, US Karthik V. Swaminathan - Ossing NY, US Augusto J. Vega - Astoria NY, US Liang Wang - Charlottesville VA, US
International Classification:
G06F 9/45 G06F 9/48
Abstract:
An aspect includes optimizing an application workflow. The optimizing includes characterizing the application workflow by determining at least one baseline metric related to an operational control knob of an embedded system processor. The application workflow performs a real-time computational task encountered by at least one mobile embedded system of a wirelessly connected cluster of systems supported by a server system. The optimizing of the application workflow further includes performing an optimization operation on the at least one baseline metric of the application workflow while satisfying at least one runtime constraint. An annotated workflow that is the result of performing the optimization operation is output.
Optimization Of Application Workflow In Mobile Embedded Devices
- Armonk NY, US Pradip Bose - YORKTOWN HEIGHTS NY, US Alper Buyuktosunoglu - White Plains NY, US Chen-Yong Cher - Port Chester NY, US Hans M. Jacobson - White Plains NY, US William J. Song - Atlanta GA, US Karthik V. Swaminathan - Ossining NY, US Augusto J. Vega - Astoria NY, US Liang Wang - Charlottesville VA, US
International Classification:
G06F 9/48 G06F 9/54
Abstract:
An aspect includes optimizing an application workflow. The optimizing includes characterizing the application workflow by determining at least one baseline metric related to an operational control knob of an embedded system processor. The application workflow performs a real-time computational task encountered by at least one mobile embedded system of a wirelessly connected cluster of systems supported by a server system. The optimizing of the application workflow further includes performing an optimization operation on the at least one baseline metric of the application workflow while satisfying at least one runtime constraint. An annotated workflow that is the result of performing the optimization operation is output.