Computer-aided design and analysis of circuits and semiconductor – Nanotechnology related integrated circuit design
Reexamination Certificate
1998-08-31
2001-11-20
Frejd, Russell W. (Department: 2123)
Computer-aided design and analysis of circuits and semiconductor
Nanotechnology related integrated circuit design
C703S019000
Reexamination Certificate
active
06321366
ABSTRACT:
BACKGROUND OF THE INVENTION
1. Field of the Invention
The present invention generally relates to electronic design automation (EDA). More particularly, the present invention relates to a digital logic device that addresses hold time and clock glitch problems in a variety of applications including simulation, hardware acceleration, and coverification.
2. Description of Related Art
In general, electronic design automation (EDA) is a computer-based tool configured in various workstations to provide designers with automated or semi-automated tools for designing and verifying user's custom circuit designs. EDA is generally used for creating, analyzing, and editing any electronic design for the purpose of simulation, emulation, prototyping, execution, or computing. EDA technology can also be used to develop systems (i.e., target systems) which will use the user-designed subsystem or component. The end result of EDA is a modified and enhanced design, typically in the form of discrete integrated circuits or printed circuit boards, that is an improvement over the original design while maintaining the spirit of the original design.
The value of software simulating a circuit design followed by hardware emulation is recognized in various industries that use and benefit from EDA technology. Nevertheless, current software simulation and hardware emulation/acceleration are cumbersome for the user because of the separate and independent nature of these processes. For example, the user may want to simulate or debug the circuit design using software simulation for part of the time, use those results and accelerate the simulation process using hardware models during other times, inspect various register and combinational logic values inside the circuit at select times, and return to software simulation at a later time, all in one debug/test session. Furthermore, as internal register and combinational logic values change as the simulation time advances, the user should be able to monitor these changes even if the changes are occurring in the hardware model during the hardware acceleration/emulation process.
Co-simulation arose out of a need to address some problems with the cumbersome nature of using two separate and independent processes of pure software simulation and pure hardware emulation/acceleration, and to make the overall system more user-friendly. However, co-simulators still have a number of drawbacks: (1) co-simulation systems require manual partitioning, (2) co-simulation uses two loosely coupled engines, (3) co-simulation speed is as slow as software simulation speed, and (4) co-simulation systems encounter race conditions.
First, partitioning between software and hardware is done manually, instead of automatically, further burdening the user. In essence, co-simulation requires the user to partition the design (starting with behavior level, then RTL, and then gate level) and to test the models themselves among the software and hardware at very large functional blocks. Such a constraint requires some degree of sophistication by the user.
Second, co-simulation systems utilize two loosely coupled and independent engines, which raise inter-engine synchronization, coordination, and flexibility issues. Co-simulation requires synchronization of two different verification engines—software simulation and hardware emulation. Even though the software simulator side is coupled to the hardware accelerator side, only external pin-out data is available for inspection and loading. Values inside the modeled circuit at the register and combinational logic level are not available for easy inspection and downloading from one side to the other, limiting the utility of these co-simulator systems. Typically, the user may have to re-simulate the whole design if the user switches from software simulation to hardware acceleration and back. Thus, if the user wanted to switch between software simulation and hardware emulation/acceleration during a single debug session while being able to inspect register and combinational logic values, co-simulator systems do not provide this capability.
Third, co-simulation speed is as slow as simulation speed. Co-simulation requires synchronization of two different verification engines—software simulation and hardware emulation. Each of the engines has its own control mechanism for driving the simulation or emulation. This implies that the synchronization between the software and hardware pushes the overall performance to a speed that is as low as software simulation. The additional overhead to coordinate the operation of these two engines adds to the slow speed of co-simulation systems.
Fourth, co-simulation systems encounter set-up, hold time, and clock glitch problems due to race conditions among clock signals. Co-simulators use hardware driven clocks, which may find themselves at the inputs to different logic elements at different times due to different wire line lengths. This raises the uncertainty level of evaluation results as some logic elements evaluate data at some time period and other logic elements evaluate data at different time periods, when these logic elements should be evaluating the data together.
Accordingly, a need exists in the industry for a system or method that addresses problems raised above by currently known simulation systems, hardware emulation systems, hardware accelerators, co-simulation, and coverification systems.
SUMMARY OF THE INVENTION
The present invention provides solutions to the aforementioned problems in the form of a flexible and fast simulation/emulation system, called herein as the “SEmulation system,” “SEmulator system,” or a Coverification system containing a Reconfigurable Computing System (or RCC computing system) and Reconfigurable Hardware Array (or RCC hardware array).
The SEmulation system and method of the present invention provide users the ability to turn their designs of electronic systems into software and hardware representations for simulation. Generally, the SEmulation system is a software-controlled emulator or a hardware-accelerated simulator and the methods used therein. Thus, pure software simulation is possible, but the simulation can also be accelerated through the use of the hardware model. Hardware acceleration is possible with software control for starting, stopping, asserting values, and inspecting values. In-circuit emulation mode is also available to test the user's circuit design in the environment of the circuit's target system. Again, software control is available.
At the core of the system is a software kernel that controls both the software and hardware models to provide greater run-time flexibility for the user by allowing the user to start, stop, assert values, inspect values, and switch among the various modes. The kernel controls the various modes by controlling data evaluation in the hardware via the enable inputs to the registers.
The SEmulation system and method, in accordance with the present invention, provide four modes of operation: (1) Software Simulation, (2) Simulation via Hardware Acceleration, (3) In-Circuit Emulation (ICE), and (4) Post-Simulation Analysis. At a high level, the present invention is embodied in each of the above four modes or various combinations of these modes as follows: (1) Software Simulation alone; (2) Simulation via Hardware Acceleration alone; (3) In-Circuit Emulation (ICE) alone; (4) Post-Simulation Analysis alone; (5) Software Simulation and Simulation via Hardware Acceleration; (6) Software Simulation and ICE; (7) Simulation via Hardware Acceleration and ICE; (8) Software Simulation, Simulation via Hardware Acceleration, and ICE; (9) Software Simulation and Post-Simulation Analysis; (10) Simulation via Hardware Acceleration and Post-Simulation Analysis; (11) Software Simulation, Simulation via Hardware Acceleration, and Post-Simulation Analysis; (12) ICE and Post-Simulation Analysis; (13) Software Simulation, ICE, Post-Simulation Analysis; (14) Simulation via Hardware Acceleration, ICE, Post-Simulation Analysis; and (15) Software Simulation
Lin Sharon Sheau-Ping
Shen Quincy Kun-Hsu
Tseng Ping-sheng
Axis Systems, Inc.
Chou Chien
Frejd Russell W.
Oppenheimer Wolff & Donnelly LLP
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