What’s inside the recent Accellera standard for portable test and stimulus.
The definition of the language syntax, C++ library API, and accompanying semantics for the specification of verification intent and behaviors reusable across multiple target platforms and allowing for the automation of test generation is provided. This standard provides a declarative environment designed for abstract behavioral description using actions, their inputs, outputs, and resource dependencies, and their composition into use cases including data and control flows. These use cases capture verification intent that can be analyzed to produce a wide range of possible legal scenarios for multiple execution platforms. It also includes a preliminary mechanism to capture the programmer’s view of a peripheral device, independent of the underlying platform, further enhancing portability.
Read more here.
New market opportunities and global competitiveness are limited by qualified people.
Better algorithms and more data could bolster adoption, particularly at advanced nodes.
Showing that a processor core adheres to a specification becomes more difficult when the specification is extensible.
New approaches are competing for attention as scaling benefits diminish.
Deeper understanding of equipment behavior and market needs will have broad impact across the semiconductor supply chain.
2019 will be a year of change for the semiconductor industry as new fields drive technological advancements.
What hoops will designers have to jump through to avoid concurrency bugs?
This new communications standard could transform architectural decisions across the industry, but not right away and not necessarily in obvious ways.
Maximum flexibility is no longer the reliable path to product success. While flexibility must be there for a purpose, it also can be a liability.
Why managing power is becoming more difficult, more critical, and much more expensive.
Analog circuitry stopped following Moore’s Law a long time ago, but that hasn’t always helped.
Battery-powered designs require complex optimizations for power in the context of area, performance and functionality.
Accuracy is a relative term that complicates design and verification. Machine learning makes the industry face some of those realities head on.
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
Leave a Reply