The present invention relates to the design of an application specific processor (ASP) and in particular to the use of a modelling tool in the design process to aid the development of architectural modelling.
In a design process of an ASP, a model is constructed based on a CPU and a set of peripherals. Three basic types of data are required to be generated before any “real modelling” can start. These can be summarised as follows:
Typically this set of data is generated by hand and must be completed before any real modelling can start. The generation by hand is a laborious task and is prone to all the usual human errors.
Another difficulty which arises with existing simulation techniques is that the simulation of an ASP at circuit level is a slow and laborious process.
It is an object of the present invention to speed up the simulation at circuit level.
According to the present invention there is provided a method of simulating an application specific processor (ASP) comprising:
In particular this allows an initialisation or set up phase to be completed using the high level language in the functional model which is a much faster approach than carrying out the entire simulation at circuit level in a simulation language such as VHDL.
The modelling tool described herein ensures that the generation of the above sets of data are completely in sync. It also greatly reduces the time to develop the models of various peripherals by allowing the designer to concentrate on the task at hand—that of the peripheral itself. The tool also makes it possible for novice designers to get started using the peripheral modelling much quicker by not having to learn about the finer details of a particular simulator, for example by removing the need to learn details of how to send and receive data from the to simulator to the peripheral.
The modelling tool is designed for use in an environment in which a simulator simulates a CPU and a memory system to which peripherals can be added.
Peripheral and subsystem support is provided by allowing the user to define a set of functions for each device that will simulate its behaviour. These functions are compiled into a device library by the user, and loaded by the simulator during execution. All the device libraries for the devices being simulated are listed in a device definition file. When the simulator is executed, these functions are dynamically linked with the simulator code.
Each device has an address range associated with it in the device definition file. Any load from or store to an address in that range will cause the simulator to execute the appropriate peripheral read or write function instead of a memory access.
The following functions are provided in each device library:
As an example, suppose that the application running on the CPU A executes a load from a peripheral address. At this point the simulator calls the peripheral read function in the peripheral model dynamic library. The peripheral read function returns the data stored at the address and the simulator then places this value onto the stack.
A typical peripheral model and its integration within a functional simulator is shown in FIG. 2. The peripheral is written in a high level language such as C and the code for this model operates upon data structures written in a manner which aids the architecture development. In order for the CPU, and hence code executing on the CPU, to access various bits of state or data, such as a control register, it must read or write to various words in memory. The read peripherals being modelled are memory mapped in the CPU memory space. The states or data structures that are maintained within the model which are visible to the CPU, and hence to the code, must be copied to or from the registers or memory. The simulator has special calls to handle accesses to special areas such as memory.
The peripheral model writer declares an area of memory that is to be treated as special, in this case seen as the registers memory or a data structure memory. When the CPU accesses this area of memory the peripheral model must copy or update its internal representation of the externally visible state. This is usually done by the Read and Write functions in the simulator. These functions allow the modelling to proceed in a free and easy manner, without any constraints on how it should be written or how data should be manipulated and only when it is necessary to transfer the data to the outside world is it done so via these functions. The description of the registers and data structure visible to the CPU within the peripheral will be described within the functional specification document for that peripheral.
The modelling tool described herein automates the generation of the low level functions, constants and the basis of the documentation by using the data structures specified by the peripheral model. There is sufficient information within the specification of these data structures to generate these low level functions and the documentation, using some basic conventions developed by the inventor.
These can be summarised as:
For a better understanding of the present invention and to show how the same may be carried into effect reference will now be made by way of example to the accompanying drawings.
An application specific processor is modelled as a central processor (CPU) 2 and a set of peripherals 4. The CPU 2 is modelled with the basic elements of an interrupt handler 6 and memory 8. A set of applications running on the CPU are denoted by the process circle 10 labelled APPLS. Each peripheral 4 is modelled with an internal interface 12 between the peripheral and the CPU 2 and an external interface 14 between the peripheral and the “outside world”, that is externally of the ASP. At the time of modelling the ASP, it is not known whether or not the peripherals will in fact be implemented in software, hardware or some combination of both. However, whether finally implemented in software or hardware or some combination of both, the peripherals 4 represent how the central processor 2 cooperates with the external environment. The external interfaces 14 receive stimuli S from the external environment and generate responses R in response to the stimuli. These are carried by the external interface 14. The internal interfaces 12 carry state information and data between the peripherals and the applications 10 running on the CPU 2. This is described in more detail with reference to FIG. 2.
An input file is created for each peripheral 4 in a high level language such as C using an input data structure compatible with that language. That input file defines the interfacing behaviour of the peripheral 4 with respect to the CPU. The architect determines the responses R of the peripheral with respect to external stimuli S. A modelling tool 24 generates automatically from the data structure defined in the input file 24 a documentation file 26, an interface functions file 28, and a test functions file 30.
The interface functions file 28 contains a set of “glue” functions which are derived from the individual elements of the data structure in the input file 22 but which are defined in a manner which is independent of any particular data structure. The “glue” functions define the attributes of the interface 12 and include:
The constant definitions define the context for the peripheral.
In particular, they define the address range in memory associated with the device being modelled by that peripheral and bit locations within the registers of particular elements of the data structure. Any load from or store to an address in that defined range will cause a simulator to execute the appropriate peripheral read or write function instead of a memory access.
The read and write functions allow the peripheral to read and write data and state from and to the specified register of the CPU.
Query functions allow the peripheral to request a value from a specified register in the CPU.
Set functions allow the peripheral to write a value to a specified register of the CPU.
The documentation file defines the registers and their contents for use in setting up a simulator on the CPU.
The test functions take the form define the attributes of the CPU read/write paths 18, 20 and include:
The constant definitions match those already defined as part of the interface function file 28. Likewise, the read and write functions allow the CPU to read and write from the specified registers. Once again the functions are defined such that they have a common name but are implemented in a manner which is dependent on the environment.
The modelling tool 24 generates the documentation file 26, interface functions file 28 and test functions file 30 by using the data structure specified for the peripheral model. The inventor has realised that there is sufficient information within the specification of these data structures to generate the contents of these files automatically. An example is illustrated in FIG. 4. In
The register named SarControlRegister has a data structure comprising three elements each having a length of one bit and which defines one of the following:
The SarSegmentationContextRegister has a data structure comprising one element having a length of 32 bits defining a ContextStartAddress.
In the example of
The documentation file 26 is set up for each register by deriving information directly from the data structure as indicated in FIG. 4. Thus, each register definition comprises the following parameters:
The contents for each field to define these parameters can be derived directly from the data structure of the input file 22. To avoid over-complicating the figure, the arrows are shown only for the read and write functions in respect of the SarControlRegister and, as far as the documentation file is concerned, only for the first bit location of that register. Tables 1 and 2 show the complete documentation files for the SarControlRegister and SarSegmentationContextRegister.
For each of the typedefs in the input file a table will be generated which will describe the allocation of the attributes to the words that make up the data structure in the CPU memory space. Each table will also describe the allocation of the bits within the word(s) as well as the meaning associated to these bits. The reset state will be given, and whether the attribute (bits are read, writable or both. The allocation of the bits within a word and indeed the words themselves will be driven by command line arguments to the modelling tool. The documentation file can be output in various formats, for example ascii and mif. The files are intended to be included or pasted into the main functional (or other) specification of the peripheral.
Some specific examples are given in the following annexes.
Annexe 1 is an exemplary BNF sequence (Backus Naur Form of notation) for an input file 22. Annexe 2 is an example of a simple data structure within the input file, and Annexe 3 is an example of a data structure of medium complexity within the input file.
Annexe 4 is an exemplary BNF sequence for the read function of the interface functions file for a data structure of medium complexity and Annexe 5 is an example of an output fragment.
Annexe 6 is an exemplary BNF sequence for a write function for the interface functions file for a data structure of medium complexity and Annexe 7 is an example of an output fragment.
Annexe 8 is an exemplary BNF sequence for a query function for a data structure of a simple type and Annexe 9 is an example output fragment. Annexe 10 is an exemplary BNF sequence for a set function of a simple data structure type and Annexe 11 is an example of an output fragment.
For the test functions file 30, Annexe 12 is an exemplary BNF sequence for a read function for a data structure of medium complexity, and Annexe 13 is an exemplary output fragment. Annexe 14 is an exemplary BNF sequence for a data structure of medium complexity for the write function of the test functions file 30 and Annexe 15 is an exemplary output fragment.
Annexe 16 is one example in BNF format of a documentation file.
The modelling tool described herein gives rise to another advantage.
Another advantage of the modelling tool described herein is its generation of the documentation file 26. This defines the actual registers and can be used therefore to implement these registers in a final silicon implementation. This significantly reduces the amount of manual design work that needs to be carried out.
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