Tackling Large Verification Problems with the Swarm Tool

نویسندگان

  • Gerard J. Holzmann
  • Rajeev Joshi
  • Alex Groce
چکیده

The range of verification problems that can be solved with logic model checking tools has increased significantly in the last few decades. This increase in capability is based on algorithmic advances, but in no small measure it is also made possible by increases in processing speed and main memory sizes on standard desktop systems. For the time being, though, the increase in CPU speeds has mostly ended as chip-makers are redirecting their efforts to the development of multi-core systems. In the coming years we can expect systems with very large memory sizes, and increasing numbers of CPU cores, but with each core running at a relatively low speed. We will discuss the implications of this important trend, and describe how we can leverage these developments with new tools.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

COMPUTATIONALLY EFFICIENT OPTIMUM DESIGN OF LARGE SCALE STEEL FRAMES

Computational cost of metaheuristic based optimum design algorithms grows excessively with structure size. This results in computational inefficiency of modern metaheuristic algorithms in tackling optimum design problems of large scale structural systems. This paper attempts to provide a computationally efficient optimization tool for optimum design of large scale steel frame structures to AISC...

متن کامل

A New Solution for the Cyclic Multiple-Part Type Three-Machine Robotic Cell Problem based on the Particle Swarm Meta-heuristic

In this paper, we develop a new mathematical model for a cyclic multiple-part type threemachine robotic cell problem. In this robotic cell a robot is used for material handling. The objective is finding a part sequence to minimize the cycle time (i.e.; maximize the throughput) with assumption of known robot movement. The developed model is based on Petri nets and provides a new method to calcul...

متن کامل

An Expert System for Intelligent Selection of Proper Particle Swarm Optimization Variants

Regarding the large number of developed Particle Swarm Optimization (PSO) algorithms and the various applications for which PSO has been used, selecting the most suitable variant of PSO for solving a particular optimization problem is a challenge for most researchers. In this paper, using a comprehensive survey and taxonomy on different types of PSO, an Expert System (ES) is designed to identif...

متن کامل

Formal Verification of Cognitive Models

Cognitive modeling has outgrown the toy problems of the research labs and is increasingly tackling Industrial size applications. This growth is not matched in terms of software tools and methodologies. In this paper, we propose a systematic automated approach for verifying the correctness of cognitive models. We present a modular specification language, define model correctness, and present alg...

متن کامل

Sensing and Estimation on a Modular Testbed for Swarm Robotics

Collective robotics offers the promise of enhanced performance and robustness relative to that of individual robots, with decreased cost or time-to-completion for certain tasks. Having many degrees of freedom, the multi-robot control and estimation problems are challenging, specifically when the solutions require a great amount of communication among the robots. While numerical simulation is a ...

متن کامل

ذخیره 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 2008