Abstract: One or more technologies described herein can be used for viewing results of a simulation of a software executable in a multi-processor electronic circuit design. A debug environment can display simulation results related to the multiple processors, for example, as a correlated software debug view of the processors. In at least some embodiments, the disclosed technologies can be used to examine a correlation between an error in the design which is shown in the simulation results and one or more inter-processor synchronization events.

Abstract: Electronic system functionality can be initially implemented as software code (e.g., in programming languages such as C, C++ or Pascal) and selectively converted to a hardware representation such as in hardware description language (e.g., VHDL, Verilog, HandelC, BachC, SpecC and System Verilog). In one aspect, software code representations comprising memory dereferencing operations (e.g., related to pointers, arrays and structs) may also be converted to a hardware representation. The newly converted hardware representation may be given control of a main communications network (e.g., system bus) of the electronic system to control the execution of the memory dereferencing operations (e.g., related to pointers, arrays and structs). In one embodiment, bus control may be via a bus control interface adapted for a particular kind of communications network (e.g., a processor bus, a system bus, a hierarchical bus, a cross bar, a multiplexer bus, a switch network and a point to point network).

Abstract: A hardware-software system design optimization tool is described. The tool allows a designer to optimize the system performance by allowing him to select software components of the system and move them to a hardware representation. The software components are selected by using a performance profile of the system, which comprises time data related to execution of the software components, memory and bus transactions. In another aspect, the tool automatically collects the performance data and generates the performance profile. In another aspect, performance data is collected by modeling the execution of the hardware-software system. In another aspect, hardware-software system is modeled again after selected software components are moved to a hardware representation to inquire whether the move improved overall system performance.

Abstract: A tool is described herein for optimizing the design of a hardware-software system. The tool allows a designer to evaluate the potential improvement in system performance that may be realized by moving selected software components of the system to a hardware implementation. In one aspect, the tool automatically generates a performance profile of an original form of the system. The performance profile of the original form of the system may be used to select software components of the system to be moved to hardware. In another aspect, the tool generates an estimated performance profile of a repartitioned form of the system by modifying the performance profile of the system. The estimated performance profile of the repartitioned system is compared to the performance profile of the original form of the system to verify benefits, if any, of repartitioning. Such verification is accomplished without the need to actually repartitioning the system or measuring the performance of the entire repartitioned system.

Abstract: A hardware-software system design optimization tool is described. The tool allows a designer to optimize the system performance by allowing him to select software components of the system and move them to a hardware representation. The software components are selected by using a performance profile of the system, which comprises time data related to execution of the software components, memory and bus transactions. In another aspect, the tool automatically collects the performance data and generates the performance profile. In another aspect, performance data is collected by modeling the execution of the hardware-software system. In another aspect, hardware-software system is modeled again after selected software components are moved to a hardware representation to inquire whether the move improved overall system performance.

Abstract: A tool is described herein for optimizing the design of a hardware-software system. The tool allows a designer to evaluate the potential improvement in system performance that may be realized by moving selected software components of the system to a hardware implementation. In one aspect, the tool automatically generates a performance profile of an original form of the system. The performance profile of the original form of the system may be used to select software components of the system to be moved to hardware. In another aspect, the tool generates an estimated performance profile of a repartitioned form of the system by modifying the performance profile of the system. The estimated performance profile of the repartitioned system is compared to the performance profile of the original form of the system to verify benefits, if any, of repartitioning. Such verification is accomplished without the need to actually repartitioning the system or measuring the performance of the entire repartitioned system.