Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment.

Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment.

Abstract: The present invention includes embodiments of systems and methods for addressing the interdependencies that result from integrating the computing resources of multiple hardware and software providers. The integrated, multi-provider cloud-based platform of the present invention employs abstraction layers for communicating with and integrating the resources of multiple back-end hardware providers, multiple software providers and multiple license servers. These abstraction layers and associated functionality free users not only from having to implement and configure provider-specific protocols, but also from having to address interdependencies among selected hardware, software and license servers on a job-level basis or at other levels of granularity.

Abstract: The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment.

Abstract: The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment.

Abstract: The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment.

Abstract: The present invention dynamically optimizes computing resources allocated to a simulation task while it is running. It satisfies application-imposed constraints and enables the simulation application performing the simulation task to resolve inter-instance (including inter-server) dependencies inherent in executing the simulation task in a parallel processing or other HPC environment.