Connecting AI Accelerators


Experts At The Table: Semiconductor Engineering sat down to discuss the various ways that AI accelerators are being applied today with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vice president of marketing at Expedera; Alexander Petr, senior director at Keysight; Steve Roddy, chief marketing office... » read more

Future-proofing AI Models


Experts At The Table: Making sure AI accelerators can be updated for future requirements is becoming essential due to the rapid introduction of new models. Semiconductor Engineering sat down to discuss the challenges of future-proofing these designs with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vic... » read more

Development Flows For Chiplets


Chiplets offer a huge leap in semiconductor functionality and productivity, just like soft IP did 40 years ago, but a lot has to come together before that becomes reality. It takes an ecosystem, which is currently very rudimentary. Today, many companies have hit the reticle limit and are forced to move to multi-die solutions, but that does not create a plug-and-play chiplet market. These ear... » read more

AI Accelerators Moving Out From Data Centers


Experts At The Table: The explosion in AI data is driving chipmakers to look beyond a single planar SoC. Semiconductor Engineering sat down to discuss the need for more computing and the expanding role of chiplets with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vice president of marketing at Expedera; ... » read more

Chiplet Tradeoffs And Limitations


The semiconductor industry is buzzing with the benefits of chiplets, including faster time to market, better performance, and lower power, but finding the correct balance between customization and standardization is proving to be more difficult than initially thought. For a commercial chiplet marketplace to really take off, it requires a much deeper understanding of how chiplets behave indiv... » read more

Implementing AI Activation Functions


Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can be fussy to build in silicon. Is it better to have a CPU calculate them? Should hardware function units be laid down to execute them? Or would a lookup table (LUT) suffice? Most architectures inc... » read more

3D-IC Ecosystem Starts To Take Form


The adoption of chiplets is inevitable, but exactly when a mass migration toward this design approach will begin is yet to be determined. Nevertheless, some of the biggest technological and business-related barriers are being addressed. And while a chiplet-based design remains beyond the economic reach of many companies today, that is starting to change. Early signs of an emerging ecosystem ... » read more

3D-IC For The Masses


The concepts of 3D-IC and chiplets have the whole industry excited. It potentially marks the next stage in the evolution of the IP industry, but so far, technical difficulties and cost have curtailed its usage to just a handful of companies. Even within those, they do not appear to be seeing benefits from heterogeneous integration or reuse. Attempts to make this happen are not new. "A decade... » read more

Chiplets Add New Power Issues


Delivering and managing power are becoming key challenges in the rollout of chiplets, adding significantly to design complexity and forcing chipmakers to weigh tradeoffs that can have a big impact on the performance, reliability, and the overall cost of semiconductors. Power is a concern for every chip and chiplet design, even if the specifics differ based on the application. Systems vendors... » read more

Integrating Data From Design, Manufacturing, And The Field


Chip design is starting to include more options to ensure chips behave reliably in the field, boosting the ability to tweak both hardware and software as chips age. The basic problem is that as dimensions become smaller, and as more features are added into devices — especially with heterogeneous assemblies of chiplets running some type of AI — the potential for thermally induced structur... » read more

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