ATOMS - A Tool for Automatic Optimization of Gate Level VHDL Models for Simulation
نویسنده
چکیده
This paper proposes a new method to speedup simulation of VHDL models. Therefore, a tool named ATOMS (Automatic Optimization of VHDL Models for Simulation) reads in a VHDL source model and generates automatically a new optimized VHDL model which is simulated faster by the same simulator. ATOMS arises out of an approach to speedup simulation of a RISC computer system running its operating system. The CPU is modeled near gate level to calculate the rate of gate level faults covered by pin level faults. This is performed by software based fault injection experiments. ATOMS achieves the speedup by reducing the number of processes and signals of the source model. The lower the abstraction level of the VHDL source model the higher is the speedup of the simulation. Though, optimizing gate level models promises the most efficient speedup. The average speedup of the simulation is measured to 5-8, the best measured speedup was 20.
منابع مشابه
Using VHDL Neural Network Models for Automatic Test Generation
VHDL models for neural networks for automatic test generation of gate level circuits are presented in this paper. A program converts a gate netlist to its equivalent neural model. A good circuit and faultable bad circuits will be generated. A VHDL test bench has been developed to apply the faults to the neural network bad circuit model, and report tests that are generated for each injected fault.
متن کاملBehavioral Modeling and Simulation of Semiconductor Devices and Circuits Using VHDL-AMS
During the past few years, a lot of work has been done on behavioral models and simulation tools. But a need for modeling strategy still remains. The VHDL-AMS language supports the description of analog electronic circuits using Ordinary Differential Algebraic Equations (ODAEs), in addition to its support for describing discrete-event systems. For VHDL-AMS to be useful to the analog design ...
متن کاملHardware Synthesis for Neural Networks from a Behavioral Description with VHDL
In this paper we present a system for automatic synthesis of special purpose hardware for neural networks. Only an algorithmic description of the behaviour of the hardware and a simulation environment have to be written by the designer using VHDL. This description can be automatically mapped onto hardware using the synthesis tool CALLAS and the design system MENTOR. Using the concept of a simul...
متن کاملFunctional Constraint Extraction at Register Transfer Level for ATPG to Improve Verification in terms of Coverage
---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The gate level techniques are used in simulation to identify ISE’s and also these techniques are implemented based on Sequential Automatic Test Pattern Generation (ATPG). But now a day’s IC’s are very complex so by using above gate level method, it...
متن کاملGAUT – A Free and Open Source High-Level Synthesis Tool for FPGA-Based Acceleration of Scientific Computing
GAUT is an open source High-Level Synthesis tool. From a bit-accurate C/C++ specification it automatically generates a RTL architecture described in VHDL that can be used by commercial logical synthesis tools like ISE (Xilinx), Quartus (Altera). GAUT also generates TLM and CABA SystemC simulation models for virtual prototyping.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001