Abstract: A tool is disclosed that includes a discriminant module. The discriminant module finds one configuration, which is selected from many different possible and legal configurations, that is optimal. The optimal configuration is translated into a set of optimized parameters (identified from the library of parameters that the user can select from) and provided to the designer. The designer reviews (and can manually revise or change) the optimized parameters. The optimized parameters are translated into engineering parameters. The engineering parameters are passed, as an input, to the RTL generation module. The RTL generation module produces the RTL description of the hardware function that is optimal and meets the designer's defined requirements.

Abstract: In accordance with various embodiments and aspects of the invention, systems and methods are disclosed that can automatically find the best legal configuration that will be optimal with respect to a given set of requirements or metrics, such as: area, timing, and power. A designer defines the metrics or requirements, which represent the functional needs. A designer typically selects a set of parameters from a group of parameters available to user, which are user selectable parameters. The best parameters, from which the user can select parameters, are identified, and provided to the user. A constraint solver module ensures all rules are enforced and finds all legal parameters that fulfil the user intent. The constraint solver module generates configurations that meet the requirements and are legal configurations.

Abstract: A tool is disclosed that includes a discriminant module. The discriminant module finds one configuration, which is selected from many different possible and legal configurations, that is optimal. The optimal configuration is translated into a set of optimized parameters (identified from the library of parameters that the user can select from) and provided to the designer. The designer reviews (and can manually revise or change) the optimized parameters. The optimized parameters are translated into engineering parameters. The engineering parameters are passed, as an input, to the RTL generation module. The RTL generation module produces the RTL description of the hardware function that is optimal and meets the designer's defined requirements.

Abstract: In accordance with various embodiments and aspects of the invention, systems and methods are disclosed that can automatically find the best legal configuration that will be optimal with respect to a given set of requirements or metrics, such as: area, timing, and power. A designer defines the metrics or requirements, which represent the functional needs. A designer typically selects a set of parameters from a group of parameters available to user, which are user selectable parameters. The best parameters, from which the user can select parameters, are identified, and provided to the user. A constraint solver module ensures all rules are enforced and finds all legal parameters that fulfil the user intent. The constraint solver module generates configurations that meet the requirements and are legal configurations.

Abstract: A tool is disclosed that includes a discriminant module. The discriminant module finds one configuration, which is selected from many different possible and legal configurations, that is optimal. The optimal configuration is translated into a set of optimized parameters (identified from the library of parameters that the user can select from) and provided to the designer. The designer reviews (and can manually revise or change) the optimized parameters. The optimized parameters are translated into engineering parameters. The engineering parameters are passed, as an input, to the RTL generation module. The RTL generation module produces the RTL description of the hardware function that is optimal and meets the designer's defined requirements.

Abstract: A method to provide reliability, power management and load balancing support for multicore systems based on Networks-on-Chip (NoCs) and to efficiently implement architectural support for this method by introducing complex packet handling mechanisms is achieved by modifying the basic network interfaces attached to the cores of multicore computation systems. It also proposes policies to leverage the proposed hardware extensions. This aim is achieved with a method to manage the load of peripheral elements within a multicore system comprising several processing units accessing peripheral elements through a NoC, each processing unit and peripheral element attached to a Network Interface in charge of formatting and driving the packets sent to or received from the NoC, wherein, while considering at least two peripheral elements having a similar function, the Network Interface dedicated to a first peripheral element reroutes the incoming packets to a second Network Interface dedicated to a second peripheral element.

Abstract: A method to provide reliability, power management and load balancing support for multicore systems based on Networks-on-Chip (NoCs) and to efficiently implement architectural support for this method by introducing complex packet handling mechanisms is achieved by modifying the basic network interfaces attached to the cores of multicore computation systems. It also proposes policies to leverage the proposed hardware extensions. This aim is achieved with a method to manage the load of peripheral elements within a multicore system comprising several processing units accessing peripheral elements through a NoC, each processing unit and peripheral element attached to a Network Interface in charge of formatting and driving the packets sent to or received from the NoC, wherein, while considering at least two peripheral elements having a similar function, the Network Interface dedicated to a first peripheral element reroutes the incoming packets to a second Network Interface dedicated to a second peripheral element.