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    Posts Tagged ‘ risk assessment ’

    Overcoming the challenges of design reuse: A Webinar

    by Numetrics | January 15, 2010 | In Best Practices, News, Schedule Predictability | 2 Comments

    By Ron Collett

    In December, we were honored to participate in a Design & Reuse panel in Grenoble, France, titled “IP Reuse vs. IP Leverage: What’s the difference and what are the issues?”

    Andrea Fortunato, our European director of professional services, represented us and gave an overview of the particular challenges that design reuse brings. He blogged about it right after the panel (Design Reuse: It’s Harder Than it Looks).

    Our friends at D&R have just posted an audio Webinar of that panel. It’s definitely worth a listen if you’re designing with cores and trying to take advantage of reusability.

    Have you had design reuse challenges recently? If so, feel free to comment on this post to let us know what they were and how you overcame them. Improving productivity in the semiconductor industry is a communal effort!

    Design and Reuse IP Panel Webinar

    The Design Reuse Paradox

    by Numetrics | November 23, 2009 | In Best Practices, Productivity | 2 Comments

    By Ron Collett

    The concept seems simple: The more ip blocks you re-use in an IC or system design, the faster and more productively you’ll get your design done. The ITRS roadmap began identifying the benefits as long ago as 1997, showing the industry could reasonably expect 56,000 gates per designer per year when using large ip blocks (75,000-1 million gates). By 2007 that figure was up to 600,000 gates per designer per year, a tenfold increase.

    There’s no doubt design reuse is here to stay. In 2007, a third of all logic was reused design blocks. That’s expected to rise to nearly 50 percent by 2015, according to the ITRS.

    The numbers and the theory behind it are encouraging, but reality is much different. Making 30 percent of your design from reused IP blocks doesn’t mean you’re going to be 30 percent more productive at the end of the project. That’s because IC design teams tend to underestimate the work needed to implement the reused IP. This can cause project delays and missed market opportunities.

    The challenge is that it’s very difficult to estimate design complexity, especially the impact of reuse. IC design schedules can falter because of the inability to estimate the impact of IP modifications on project effort.

    Design reuse chart

    Even a small percentage of reuse can add outsized effort to a development project. For example, if you add one new block of 600,000 gates to a 6 million-gate design, you’re adding 10 percent to the IC but increasing the effort required on the project by 24 percent. Adding 10 percent new circuitry to all blocks in that 6 million-gate design—with 90 percent of each block being re-used—doubles the effort required on the project, even though it increases the IC size by just 10 percent to 6.6 million gates.

    This issue will be part of a larger discussion Dec. 1 at IP-ESC 2009 in Grenoble. We were invited to sit on a panel—“IP Reuse vs. IP Leverage: What’s the difference, and what are the issues?”—with Kathryn Kranen, CEO of Jasper Design Automation, and Olivier Haller, who manages the design verification team in the Functional Verification Group at STMicroelectronics. Our director of professional services, Andrea Fortunato, will represent Numetrics.

    This is a well-timed panel in my opinion because re-use is an issue that transcends the industry and is crucial for its future. And how we go about optimizing design re-use is crucial to manage today.

    Emerging from recession with a new focus on productivity

    by Numetrics | November 12, 2009 | In Best Practices, Productivity | 1 Comment

    By Ron Collett

    (Summary: As the semiconductor industry emerges from the recession, new ways of thinking are emerging as well to improve what’s becoming a new differentiator for companies: IC design development.)

    j0440966
    All indications are the semiconductor industry is rebounding from the painful recession of the past couple of years. The latest upbeat data points include:

    • Worldwide third-quarter PC microprocessor unit shipments rose 23% compared to the second quarter, reaching a new all-time high, according to market research firm International Data Corp. (IDC).
    • Chip-sales growth should be 10 percent in 2010 and 8.4 percent in 2011, according to the Semiconductor Industry Association. The decline in 2009 chip sales (down 11.6 percent is now less that earlier forecast).
    • Individually, companies like Marvell, TSMC and ON Semiconductor are reporting encouraging results.

    But, as they say, there’s good news and bad news. The good news is obvious. The bad news is more subtle: Companies are beginning to crank up the product-development dial significantly, and this can become a challenge for R&D organizations.

    As a surge of new projects occurs, hiring generally is slow to catch up to demand. This puts stress on engineering organizations. Schedules are difficult to predict, and the engineers can get shifted from one product development team to another in the race to make deadlines. Managing a portfolio of products turns into a torch-juggling exercise—spectacular to watch but done with the knowledge that the risk is high.

    This is a significant problem in the fables era—a time in which IC design development is an increasingly important source of differentiation for semiconductor companies. A sudden burst of product-development activity can bring R&D organizations to their knees.

    Design development productivity is something to consider as we emerge from this recession. The stakes are high, and there’s little room for error in marshalling engineering resources to get products to market quickly.

    All recessions force change on business, and this one is no exception. Old ways of doing things are being replaced by new thinking on productivity—all with an eye toward making “up and to the right” last.

    Engineers and the Expectations Gap

    by Numetrics | October 29, 2009 | In Best Practices, Productivity | No Comments

    (Summary: A clever YouTube video highlights how communications disconnects can prompt IC product-development projects to slip schedule).

    By Ron Collett

    We talk a lot about schedule predictability and maximizing IC design throughput. That’s what we do as part of our goal to help product-development teams improve productivity and ROI. But there’s another, more subtle goal, and that’s improving engineering communications and expectations.

    Engineers will work most productively when given an aggressive schedule if they know it to be realistic because it’s rooted in fact-based planning. With unrealistic schedule assumptions, the reaction is “been there, done that,” and productivity—and ultimately morale—suffers.

    This dynamic is vibrantly illustrated in a YouTube video inspired and narrated by Jasper Design Automation CEO Kathryn Kranen, called How Engineers Communicate: A Video Parody.

    In it, the mythical company WonderChips is planning its T-1000 communications device. The video takes us through the planning process, the assumptions and most importantly the communications disconnects engineers and executives encounter along the way.

    To summarize the story line:

    • In the beginning, Rakesh determines that the T-1000 device is four times more complex than its predecessor and therefore a new EDA tool is needed to speed this project to completion on schedule. His boss, however, rejects the investment.
    • Next, the T-1000 team grabs a conference room to begin its bottom-up planning approach, fueled by chips and soda and catered food. Hours go by, punctuated by arguments over how long certain blocks will take to design.
    • Eventually, the team leader seems satisfied. She tells the group, “Assuming all these assumptions hold, I think the schedule looks really good.” The team agrees, and the leader goes off to present the schedule to executive management.
    • Later, she returns to the team with good news and bad news: The good news is the executive staff loves the feature set. Bad news is the T-800, another project, is slipping schedule, and there’s competitive pressure in the market. So the executives want the T-1000 to sample months sooner than the team’s bottom-up plan called for. Oh, and they need to beef up the memory subsystem while they’re at it.

    Says the team leader: “I know as a team we can do this. You guys with me?”

    The team groans. As the engineers exit the conference room, shaking their heads in disbelief, one engineer murmurs: “It will be done when it is done.”

    The T-1000 ends up slipping by at more than six months, and the executive who turned down the tool investment demands tape out at any cost.

    From my perspective, WonderChips would have benefited by complementing its bottom-up scheduling approach with a top-down methodology—using quantified estimates of the chip’s complexity, the team’s productivity and a model of the rate at which effort will be expended on the project.

    It would have helped engineers and management communicate in a common language and build an aggressive yet achievable schedule. And it would saved WonderChips’ management from having to extend the on-site day care closing time to midnight to get the chip done.

    Why Most Semiconductor Design Projects Slip Schedule

    by Numetrics | October 19, 2009 | In Productivity, Project Planning, Schedule Predictability | No Comments

    (Summary: More than 80 percent of semiconductor projects slip schedule, but we can change this costly reality by introducing a fact-based planning methodology into semiconductor product-development organizations).

    By Ron Collett

    The increase in semiconductor design complexity never slows. This reality always reinforces itself when I look at the agenda of a given week’s technology event. This week’s headliner is ARM Techcon3 in Santa Clara.

    Here’s a sampling of the presentations:

    • “How Software and Hardware Can Cooperate To Manage Power Consumption in ARM-based Systems”
    • “Fireside Chat: Enabling Internet Eveywhere and Advancing Next-Generation Designs”
    • “Energy Efficient Design at 65nm – What Really Works!”

    And the list goes on—challenging design issues at complex technology nodes everywhere you look. It’s little wonder then that most semiconductor design projects slip schedule (see chart).

    Schedule Slip Bar Graph

    Old habits in a mature industry die hard. Engineers have built products in more or less the same way for 40 years, and they’ve had tremendous market success. So why change? Engineering intuition always seems to work, and a bottom-up approach to project staffing is the way we’ve always done things. No reason to change, right?

    Wrong.

    Projects slip for a number of reasons:

    • We’re human. Who can predict when or if a spec change might occur or the flu takes out a few key engineers for a week?
    • We often lack the context to make fact-based decisions for dizzingly complex designs. For example, if you’ve spread a design over three locations in different time zones, using a newly-acquired team designing to a new process, you’re trying to extrapolate the effect of those factors based on your experience. But you probably have never experienced those factors before because each design is different.
    • Projects are late often because they are under-scoped. The schedule for the new project is based largely on the post-mortem of the last project, with the conclusion that none of the things that went wrong last time will be allowed to go wrong this time (and no other major new challenges will be allowed to creep in!).

    Typical bottom-up reactions to managing such complexity tend to fall into two categories:

    • Boost staff to hit schedule. This generally creates either a low-productivity, low-throughput situation or a high-throughput, low-productivity environment. Teams might hit schedule but will blow out the budget.
    • Leverage a small, skilled team of engineers and drive it hard. This can marshal costs and improve decision-making, but a small team can produce only so much in a given period of time, even if it’s highly productive. Too much pressure to hit an unrealistic schedule also kills morale.

    Sharp engineering managers can achieve best in class and cut or eliminate schedule slip by adopting a top-down approach that complements their traditional bottom-up planning. The top-down methodology uses:

    • Quantified estimates of the chip’s complexity
    • The team’s productivity
    • A model of the rate at which effort will be expended on the project.

    With the proper infrastructure in place, schedule estimates can be generated within just a few hours. At this point you can benchmark against your own experience or against the industry’s experience and make fact-based what-if tradeoffs to boost your schedule predictability and design ROI.

    More than 80 percent of semiconductor projects slip schedule. But we can change this reality. You wouldn’t expect this from your foundry, would you? Your foundry partner gives you a precise estimate of yield on your chip based on its models and its vast experiences with similar projects. You should expect the same predictability from your product-development organization.

    Reconsidering the Fabless Semiconductor Model

    by Numetrics | October 12, 2009 | In Best Practices, News | 2 Comments

    (Summary: Semiconductor companies are rethinking what it means to be fabless and looking for new ways to differentiate themselves).

    By Ron Collett

    For the semiconductor industry, there not only is change in the air, there’s thoughtful debate about just what that change looks like.

    I’ve been mulling over a couple of intriguing posts, one by another newly minted industry blogger, Sanjay Srivastava, CEO of Denali, and the other on EDN by Kaben Wireless Silicon CEO Paul Slaby.

    In Sanjay’s blog, Conversation on Innovation, he’s been mulling how fabless semiconductor startups can survive in the current climate.

    He argues (in Funding Fabless Semiconductor Startups) that solutions need to look at how and where money is invested, how we “stage” investments (i.e. valuing investments in IP differently than in silicon) and how we address software investment:

    I believe if we get creative about the current fabless investment model, not every semiconductor opportunity needs to be a billion-dollar opportunity before it can attract meaningful investment.

    In his EDN post and in a separate webcast, Slaby argues for a “semi-fabless” model:

    The semi-fabless company is essentially a combination of an IP provider, a design house, and an outsourced R&D operation. Its core competence and strength lies in specialized R&D and product development capabilities whereas it outsources product delivery operations to the ‘old’ fabless company with the entire infrastructure and the pipeline to market already in place.

    There’s no doubt the investment formula needs to be reconsidered. For a semiconductor company to break even, it needs $40-$100 million and six to eight years. More troubling, however, is the selling price of semiconductor startups has been steadily declining. In 2007 it was $160 million; in 2008 it was $95 million and in 2009 the average has been $65 million, according to an EE Times story referencing Lip-Bu Tan, chairman of Walden International, and now CEO of Cadence.

    The good thing is there are a lot of “smartest guys in the room” in this industry, and collectively we’re shaping the industry’s future in three main ways:

    • Companies are differentiating on products

    • Executives, such as Sanjay and Paul and others, are helping drive the investment conversation

    • And companies like ours are illuminating the differentiation and benefits of focusing on product-development productivity—fabless companies’ key differentiator today—and overall portfolio management.

    This new differentiation is key; it’s key to how companies grow and gain market share and it’s key to the industry’s future.

    For Semiconductor Companies, a New Focus on Differentiation

    by Numetrics | October 5, 2009 | In Best Practices, Productivity, Products, Project Planning | No Comments


    (Summary: For semiconductor companies, differentiation has shifted from manufacturing to improving productivity in new-product development. That realization is the easy part; getting there requires help.)

    By Ron Collett

    I’m always impressed with the level of optimism I find at semiconductor industry events around the world. There may be pockets of gloom about the state of the semiconductor industry, but executives certainly don’t share it. Yes, it’s not the same industry it was 10 years ago, but, no, it’s not doomed. Far from it: The dynamics are just different.

    That was my message when I presented last week at Malcolm Penn’s International Electronics Forum in Geneva. Here’s why the dynamics are different:

    • The industry head count has shrunk 30 percent this decade
    • Industry consolidation has picked up pace
    • Cost-cutting is rampant
    • There’s more pressure than ever on design teams to get great products out the door on time and on budget

    Here’s how the dynamics are different: Differentiation has shifted as industry disaggregation has reached an end state. There was a time when a semiconductor company differentiated itself through manufacturing and process technology (or way back when, through making its own steppers!) No longer.

    So where’s the differentiation? It’s not in cost-cutting. Everyone’s doing that.

    Differentiation has shifted to the heart of the semiconductor company’s value proposition: its new-product development.

    Electronics Weekly’s David Manners, in his coverage of IEF last week (“What’s the Answers to the Chip Industry’s Problems? Ask IEF”), touched on how profound this can be. He quoted Alain Dutheil, CEO of ST-Ericsson, as saying 85 percent of his 8,000 employees are in R&D.

    The other part of the story, which we’ve blogged about, is that most SOC projects slip schedule and most IC teams tend to underestimate their product R&D costs.

    That brings me back to our IEF presentation (“Raising the Bar on Semiconductor R&D Management, Execution, and ROI”), which we created in partnership with PRTM, one of the world’s premier operational strategy consulting firms (with deep ties to the IC industry).

    Our three take-aways were:

    • The bar is being significantly raised on semiconductor R&D management, execution, and achieving ROI
    • Companies must continuously progress through the stages of maturity to thrive (functional, project, portfolio, and cross-enterprise excellence)
    • Fact-based planning is a critical foundation for ongoing NPD success

    Anyone can cut costs in challenging times but winning companies find news ways to differentiate themselves, and they are the companies that come out of recessions stronger than their competition.

    IC Teams Tend to Underestimate SOC Development Costs

    by Numetrics | September 25, 2009 | In Best Practices, Productivity, Project Planning, Schedule Predictability | No Comments

    By Ron Collett

    Underestimating the complexity of an SOC semiconductor design project is a growing problem in our industry. In an era where SOC projects cost tens of millions of dollars to complete, a week of schedule slip means $1 million or more in lost revenue potential. That’s unacceptable.

    That was my main point last week during a panel I participated on that was part of the EE Times SOC Virtual Conference.

    Former EE Times EDA Editor Richard Goering, now blogging for Cadence, captured the panel well in a post this week (Are SoC Development Costs Significantly Underestimated?).

    To justify the investment in an SoC, Collett said, the available revenue stream must be 10X the development costs. Thus, if an SoC has a $500 million market opportunity, development costs should not exceed $50 million. Today, however, development costs can easily reach $40 to $80 million. Collett noted that 60 percent of this cost is labor and that the major part of the overall development cost is verification.

    Richard, with a great comparison, went on to write:

    Anyone who has ever been involved in a home remodeling project knows how hard it is to get a reliable estimate up front of how long it will take and how much it will cost. Underestimating time and cost is commonplace. A large SoC design project is far more complex, with many more stakeholders. There is no simple answer to the question of how development costs can be accurately predicted. But there are some ideas about how to lower development costs.

    Tensilica CTO Grant Martin weighed in from the IP perspective, Xilinx VP of Product Development Steve Douglass offered the FPGA perspective, and ASIC designer Sven Andersson from Realtime Embedded AB talked about the value of verified IP blocks. It was a great conversation, and you can hear it in archived form by registering for the event.

    There’s some additional information about the panel (we tweeted some highlights during the panel) that have been cataloged under the hash tag #eetsoc.And we’ve published a helpful white paper on how to measure IC development productivity in our online library.

    Time really is money in the semiconductor industry, and quantifying schedule risk is an excellent way to maximize your engineering investments.


    Are SoC Development Costs Significantly Underestimated?

    Talking Schedule Predictability with EE Times

    by Numetrics | September 17, 2009 | In Productivity, Project Planning, Schedule Predictability | No Comments

    By Ron Collett

    I had the pleasure of participating in a great online panel yesterday that was part of the EE Times SOC Virtual Conference, attended live by more than 1,500 people. CTO Grant Martin with Tensilica, product-development Vice President Steve Douglass with Xilinx and ASIC and FPGA designer Sven Andersson of Realtime Embedded AB all contributed to robust discussion of where next-generation design is headed.

    I encourage you to listen to panel, which is now archived for the next six months.

    My point was pretty straight forward:

    • If you misunderstand your semiconductor design project’s true cost, your SOC may be doomed.

    Think about it: An SOC design today needs to return 10x its investment. There aren’t a lot of huge end markets that justify SOC projects where the costs and schedule aren’t carefully managed. If the design costs $50 million to $80 million to develop, and there’s only a $200 million market, then the design can’t be justified.

    So getting your arms around true development cost is what SOC development is all about.

    The Changing Nature of Semiconductor Design

    by Numetrics | September 14, 2009 | In Best Practices | No Comments

    By Ron Collett

    Big changes are occurring before our eyes in the semiconductor world. And while you might say that the industry always has been in a state of flux, understanding the nature of today’s changes is key; reacting properly to that understanding is imperative.

    What’s new? In short, it’s a shift in focus: The long transition toward the fabless model is almost complete. With the numbers of semiconductor companies doing their own manufacturing dwindling to a handful, the time has come for executives and engineering managers to figure out where their differentiation now lies within their companies.

    Manufacturing used to be one of those differentiators. But today, with everyone buying manufacturing services from TSMC, UMC, Chartered or other foundries, there’s very little differentiation in how ICs are manufactured. But there can be enormous differentiation and value in how they’re designed.

    How is this possible, in a world of well-established design-automation tools and methodologies? One approach is to bring more predictability and productivity to design projects and teams; to help engineering managers get insightful, relevant data early in the design decision-making process; and to enable a portfolio of designs to be centrally managed efficiently. That’s our business, and it’s a topic I’ll explore in detail this Wednesday (Sept. 16) during EE Times’ SoC Virtual Conference.

    I’ll be presenting on a panel (Economics of Next-Generation SOC Design: A Node Too Far? 2-3 p.m. PDT) with Grant Martin, chief scientist, Tensilica; Steve Douglass, vice president, product development, Xilinx; and Sven Andersson, ASIC FPGA designer, Realtime Embedded AB. The panel will be moderated by EE Times’ Online Editor Dylan McGrath.

    If you want a peek at some of what will inform my presentation, take a look at our Numetrics solutions page for starters. And then think about the implications of these two statistics:

    * 60 percent of IC projects slip at least one quarter.

    * 16 percent of IC projects slip more than one year.

    I hope to see you live Wednesday during the virtual panel!

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