Author's Latest Posts


RISC-V Micro-Architectural Verification


RISC-V processors are garnering a lot of attention due to their flexibility and extensibility, but without an efficient and effective verification strategy, buggy implementations may lead to industry problems. Prior to RISC-V, processor verification almost became a lost art for most semiconductor companies. Expertise was condensed into the few commercial companies that provided processors or... » read more

What You Needed To Know In 2023


I always use the last blog of the year to review everything published in the Systems & Design and Low Power – High Performance channels of Semiconductor Engineering, the two channels that I write for. It is useful to see what interests you and, as I have found in the past, it is an indicator of where the industry is going. You read about the issues you are facing as designers, and you nee... » read more

2023: A Good Year For Semiconductors


Looking back, 2023 has had more than its fair share of surprises, but who were the winners and losers? The good news is that by the end of the year, almost everyone was happy. That is not how we exited 2022, where there was overcapacity, inventories had built up in many parts of the industry, and few sectors — apart from data centers — were seeing much growth. The supposed new leaders we... » read more

Data Formats For Inference On The Edge


AI/ML training traditionally has been performed using floating point data formats, primarily because that is what was available. But this usually isn't a viable option for inference on the edge, where more compact data formats are needed to reduce area and power. Compact data formats use less space, which is important in edge devices, but the bigger concern is the power needed to move around... » read more

The Good Old Days Of EDA


Nostalgia is wonderful, but there is something about being involved in the formative years of an industry. Few people ever get to experience it, and it was probably one of the most fortuitous events to have happened in my life. Back in the early '80s, little in the way of design automation existed. There were a few gate- and transistor-level simulators, primarily for test and a few 'calculators... » read more

System State Challenges Widen


Knowing the state of a system is essential for many analysis and debug tasks, but it's becoming more difficult in heterogeneous systems that are crammed with an increasing array of features. There is a limit as to how many things engineers can keep track of, and the complexity of today's systems extends far beyond that. Hierarchy and abstraction are used to help focus on the important aspect... » read more

3D-ICs May Be The Least-Cost Option


When 2.5D and 3D packaging were first conceived, the general consensus was that only the largest semiconductor houses would be able to afford them, but development costs are quickly coming under control. In some cases, these advanced packages actually may turn out to be the lowest-cost options. With stacked die [1], each die is considered to be a complete functional block or sub-system. In t... » read more

An Entangled Heterarchy


For decades, a form of structural hierarchy has been the principal means of handling complexity in chip design. It's not always perfect, and there is no ideal way in which to divide and conquer because that would need to focus on the analysis being performed. In fact, most systems can be viewed from a variety of different hierarchies, equally correct, and together forming a heterarchy. The e... » read more

What Will That Chip Cost?


In the past, analysts, consultants, and many other experts attempted to estimate the cost of a new chip implemented in the latest process technology. They concluded that by the 3nm node, only a few companies would be able to afford them — and by the time they got into the angstrom range, probably nobody would. Much has changed over the past few process nodes. Increasing numbers of startups... » read more

The Limits Of AI-Generated Models


In several recent stories, the subject of models has come up, and one recurrent theme is that AI may be able to help us generate models of a required abstraction. While this may be true in some cases, it is very dangerous in others. If we generalize, AI should be good for any model where the results are predominantly continuous, but discontinuities create problems. Unless those are found and... » read more

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