Using FPGAs For AI


Artificial intelligence (AI) and machine learning (ML) are progressing at a rate that is outstripping Moore's Law. In fact, they now are evolving faster than silicon can be designed. The industry is looking at all possibilities to provide devices that have the necessary accuracy and performance, as well as a power budget that can be sustained. FPGAs are promising, but they also have some sig... » read more

Week In Review: Design, Low Power


Aldec launched the HES-MPF500-M2S150 Development Kit for early co-development and co-verification of hardware and software for FPGA-based embedded systems that will use devices from either or both of Microchip’s PolarFire or SmartFusion2 families. The HES-MPF500-M2S150 Development Kit features Microchip’s low power PolarFire MPF500T FCG1152 FPGA, which has 481k logic elements, 1480 math blo... » read more

Blog Review: Nov. 27


Arm's Ben Fletcher digs into what's needed to make wireless 3D integration a reality from a tool to automate the design and optimization process for inductors used in wireless 3D-ICs to exploring how the data can be encoded in the transceiver to reduce power consumption. Cadence's Paul McLellan listens in as Eli Singerman of Intel explains the importance of platform security and why firmware... » read more

Designing In 4D


The chip design world is no longer flat or static, and increasingly it's no longer standardized. Until 16/14nm, most design engineers viewed the world in two dimensions. Circuits were laid out along x and y axes, and everything was packed in between those two borders. The biggest problems were that nothing printed as neatly as the blueprint suggested, and current leaked out of two-dimension... » read more

Better, Not Best


The semiconductor industry has been lulled into a particular way of thinking by Moore's Law. It is like the age-old joke — you don't have to outrun a bear, you only have to be faster than your companion. The same has held true for designs. There is little to no point being the best, you only have to be good enough to be better than the competition. That sets the bar. Best is also relative.... » read more

Static Verification Of Low Power Designs


Are there any chips designed today that don’t have limitations on their power consumption? For smartphones and tablets, increasing the time between charges is a clear product differentiator and a frequent design goal. Power consumption is also an issue for Internet-of-Things (IoT) devices, many of which are in inaccessible locations where battery replacement or recharge is difficult. Even com... » read more

Transforming Silicon Bring-Up


Not too long ago, the return of first silicon from the foundry was a nail-biting moment as power was applied to the chip. Today, better verification methodologies, increased use of emulation, and more mature fabrication practices have transformed how teams utilize first silicon. It is about to be transformed again, and there are some interesting possibilities on the horizon. Much of what use... » read more

Verification In The Era Of Autonomous Driving, Artificial Intelligence And Machine Learning


The last couple of weeks have been busy with me participating on three panels that dealt with AI and machine learning in the contexts of automotive and aero/defense, in San Jose, Berlin and Detroit. The common theme? Data is indeed the new oil, and it messes with traditional value creation in electronics. Also, requirements for system design and verification are changing and there are completel... » read more

Developing Robust Finite State Machines Code With Lint Tools


As design size and complexity grows, the design verification effort grows even more. It takes significant amount of time to thoroughly verify complex control logic of a design, which is the key and the most critical component of design functionality. One of the most common design patterns in the control logic design are finite state machines. They could be designed in different styles, state an... » read more

Thoroughly Verifying Complex SoCs


The number of things that can go wrong in complex SoCs targeted at leading-edge applications is staggering, and there is no indication that verifying these chips will function as expected is going to get any easier. Heterogeneous designs developed for leading-edge applications, such as 5G, IoT, automotive and AI, are now complex systems in their own right. But they also need to work in conju... » read more

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