Posts Tagged ‘node’
Tuesday, December 22nd, 2015
In last week’s blog post, I reported from the recent 16th International Workshop on Microprocessor Test and Verification (MTV) in Austin. I focused mostly on the panel “Portable Stimulus and Testbenches – Possibilities or Wishful Thinking?” that included representatives from ARM, Cadence, Mentor, Synopsys, Freescale (now NXP), and Breker (yours truly). The panel was most enjoyable, but only one of several highlights for me at MTV.
This week, I’d like to touch briefly on some of the talks and topics on the technical program that caught my ear. These reflected a number of research frontiers for verification as well as several real-world case studies of SoC design projects tackling tough verification challenges. Perhaps the best moment for me was hearing Altera, one of our customers, describe how they used our products successfully on a recent design.
Wednesday, December 16th, 2015
Do you want to hear all the behind-the-scenes dirt from a workshop on the future of the MTV cable channel? Well, you’ll have to look elsewhere. “MTV” in this case means the International Workshop on Microprocessor Test and Verification, which celebrated its 16th incarnation in Austin two weeks ago. Although the name of the workshop has officially expanded to “Microprocessor and SOC Test and Verification” rest assured that the delightfully ambiguous abbreviation “MTV” will remain.
This was only my second time at this event, but I wish that I had been able to attend more. The setting is the top floor of the Hyatt Regency, with great views of Lady Bird Lake (formerly Town Lake) and downtown Austin. However, I noticed that recent high-rise construction has now blocked the sight of the Texas State Capitol from the hotel. The view might be distracting if not for the fact that the technical committee put together an interesting and diverse program, including a panel on portable stimulus.
Thursday, December 10th, 2015
The past two weeks, we’ve been having a bit of fun playing alchemist and letting readers in on some of the deep, dark secrets of graph-based verification technology. This week, we conclude the series by showing some additional capabilities for our scenario models that are easy to control and view in a graph visualization. Our point is, of course, that graphs are a natural way to represent data flow and verification intent with no advanced degrees from MIT, IIT, or Hogwarts required.
As a quick reminder, graph-based scenario models begin with the end in mind and show all possible paths to create each possible outcome for the design. They look much like a reversed data-flow diagram, with outcomes on the left and inputs on the right. Breker’s Trek family can traverse the graph from left to right, randomizing selections to automatically generate test cases tailored to run in any target platform. Today, we continue using our example of a scenario model to verify that an automobile can move forward or stop.
Thursday, December 3rd, 2015
Last week, we began exploring some of the ancient, mysterious powers of graph-based scenario models to show their power for verification and ability to capture the verification space, many aspects of the verification plan, and critical coverage metrics. We’re just kidding about the first part; there’s nothing at all mystical or magical about graphs. In fact, this series of posts is intended to show the opposite and demonstrate with a easy-to-follow example the value of graphs.
As we noted in our last post, graph-based scenario models are simple in concept: they begin with the end in mind and show all possible paths to create each possible outcome for the design. They look much like a reversed data-flow diagram, with outcomes on the left and inputs on the right. An automated tool such as Breker’s Trek family can traverse the graph from left to right, randomizing selections to generate test cases that can run in any target platform.
Tuesday, November 24th, 2015
If there’s one thing that Breker is known for, it’s the use of graphs for verification. From our earliest days, we harnessed the abstraction and expressive power of graph-based scenario models to capture the verification space, many aspects of the verification plan, and critical coverage metrics. As we reported in a post a few weeks ago, it looks certain that the industry will follow our lead and base the upcoming standard from Accellera‘s Portable Stimulus Working Group (PSWG) on a graph representation.
As discussions have proceeded both within the PSWG and informally with interested parties, it has become clear that “graph” may not mean the same thing to all people. Our view of graphs is precisely defined in a way that makes it easy for users to create them and feasible for our tools to generated complex, multiprocessor test cases from them. Most of the key concepts can be communicated easily by the use of a familiar example, which we will begin in today’s post and continue next week.