Dark Silicon Aware Multicore Systems: Employing Design Automation With Architectural Insight

2014 ◽  
Vol 22 (5) ◽  
pp. 1192-1196 ◽  
Author(s):  
Jason M. Allred ◽  
Sanghamitra Roy ◽  
Koushik Chakraborty

Model based verification has been the bedrock of electronic design automation. Over the past several years, system modeling has evolved to keep up with improvements in process technology fueled by Moore’s law. Modeling has evolved to keep up with the complexity of applications resulting in various levels of abstractions. The design automation industry has evolved from transistor level modeling to gate level and eventually to register transfer level (RTL). These models have been used for simulation based verification, formal verification and semiformal verification. With the advent of multicore systems, RTL modeling and verification are no longer feasible. Furthermore, the software content in most modern designs is growing rapidly. The increasing software content, along with the size, complexity and heterogeneity of multicore systems, makes RTL simulation extremely slow for any reasonably sized system. This has made system verification the most serious obstacle to time to market. The root of the problem is the signal-based communication modeling in RTL. In any large design there are hundreds of signals that change their values frequently during the execution of the RTL model. Every signal toggle causes the simulator to stop and reevaluate the state of the system. Therefore, RTL simulation becomes painfully slow. To overcome this problem, designers are increasingly resorting to modeling such complex systems at higher levels of abstraction than RTL. Transaction level models (TLMs) have emerged as the next level of abstraction for system design. However, well defined TLM semantics are needed for design automation at the transaction level. In this chapter, we present transaction level model automation for multicore systems based on well defined TLM semantics. TLMs replace the traditional signal toggling model of system communication with function calls, thereby increasing simulation speed. TLMs are already being used for executable specification of multicore designs, for analysis, fast simulation, and debugging. They play an important role in early application development and debugging before the final prototype has been implemented. We discuss essential issues in TLM automation and also provide an understanding of the basic building blocks of TLMs.


2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.


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