This work explores industry perspectives on:
Machine Learning and IC Design
Demand for Data
Structure of a Data Model
A Unified Data Model: Digital and Analog examples
Definition and Characteristics of Derived Data for ML Applications
Need for IP Protection
Unique Requirements for Inferencing Models
Key Analysis Domains
Conclusions and Proposed Future Work
Abstra... » read more
David Fritz, who heads corporate strategic alliances at Mentor, a Siemens Business, talks about how to speed up inferencing by taking the input from sensors and quickly classifying the output, but also doing that with low power.
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Rising complexity is changing the way companies engage and interact, but long-standing barriers in communication, culture, and IP protection are slowing progress.
Understanding how chiplets interact under different workloads is critical to ensuring signal integrity and optimal performance in heterogeneous designs.
Alongside high-NA EUV will be better-performing photoresists, reduced roughness using passivation and etch, and lateral etching to reduce tip-to-tip dimensions.
eBook: Nearly everything you need to know about memory, including detailed explanations of the different types of memory; how and where these are used today; what's changing, which memories are successful and which ones might be in the future; and the limitations of each memory type.
The standard for high-bandwidth memory limits design freedom at many levels, but that is required for interoperability. What freedoms can be taken from other functions to make chiplets possible?
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