Abstract: This disclosure relates generally to method and system for tuning graphics processing unit (GPU) parameters of a GPU kernel. The disclosure proposes a combination of both heuristic and deterministic techniques for tuning GPU parameters of a GPU kernel to achieve optimal configuration of the GPU parameters. The proposed method and a system for tuning GPU parameters is based on deterministic techniques and heuristic techniques that includes capturing behavior of the GPU application by monitoring several GPU hardware counters that comprise several hardware resources and performance counters. The proposed tuning GPU parameters also implements a set of heuristic techniques to decide course of the tuning for various GPU parameters based on the captured behaviour of the GPU hardware counters.

Abstract: This disclosure relates generally to a system and method for auto-generation of test specifications from internet of things (IoT) solution specifications of IoT-enabled components of an IoT network. Testing is the complementary and most important part of any IoT network. Herein, a domain specific language (DSL) is used to specify capability of IoT enabled components. IoT solution specifications are captured from capabilities of IoT enabled components using a predefined activity DSL. A flow of activity is captured to assert transitions among one or more activities based on guard conditions. The flow of activity is analyzed to generate test specifications automatically using a Test Specification DSL based on the asserted transitions. The test specifications are implemented automatically in a predefined target language corresponding to the IoT enabled components.

Abstract: This disclosure relates generally to a system and method for auto-generation of test specifications from internet of things (IoT) solution specifications of IoT-enabled components of an IoT network. Testing is the complementary and most important part of any IoT network. Herein, a domain specific language (DSL) is used to specify capability of IoT enabled components. IoT solution specifications are captured from capabilities of IoT enabled components using a predefined activity DSL. A flow of activity is captured to assert transitions among one or more activities based on guard conditions. The flow of activity is analyzed to generate test specifications automatically using a Test Specification DSL based on the asserted transitions. The test specifications are implemented automatically in a predefined target language corresponding to the IoT enabled components.

Abstract: This disclosure relates generally to method and system for tuning graphics processing unit (GPU) parameters of a GPU kernel. The disclosure proposes a combination of both heuristic and deterministic techniques for tuning GPU parameters of a GPU kernel to achieve optimal configuration of the GPU parameters. The proposed method and a system for tuning GPU parameters is based on deterministic techniques and heuristic techniques that includes capturing behavior of the GPU application by monitoring several GPU hardware counters that comprise several hardware resources and performance counters. The proposed tuning GPU parameters also implements a set of heuristic techniques to decide course of the tuning for various GPU parameters based on the captured behaviour of the GPU hardware counters.