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Blog Review: Jan. 13

IC/ASIC design complexity; predictions for automotive, cloud, and more; software-defined hardware.

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Siemens EDA’s Harry Foster tracks trends in IC and ASIC design and finds that increased design size is only one dimension of the growing complexity challenge.

Synopsys’ Chris Clark and Dennis Kengo Oka predicts how the automotive industry will change in 2021, including new standards for security, increased use of AI and V2X technologies, and a growing focus on software.

Cadence’s Paul McLellan makes some predictions for the year, including a lot more hyperscale data centers and more movement of EDA to the cloud, 5G rollout troubles, and even more AI.

A Rambus writer finds three trends that will power semiconductors in 2021 as DDR5 DRAM hits volume production, the size of neural network training models explodes, and emphasis grows on hardware-based security.

Xilinx’s Willard Tu points to what to expect in automotive this year as AI expands beyond ADAS applications, autonomous trucking expands, and auto OEMs find recurring revenue streams.

Arm’s Andrea Kells explores the collaboration between Arm, the University of Michigan, and the University of Edinburgh on DARPA’s Software Defined Hardware program working to develop the transmuter, a reconfigurable computer that can radically adapt its internal structures to suit different applications.

Ansys’ Rachel Wilkin reveals the winners of the Art of Simulation image competition that combine visual appeal with innovative use of CAE across many different fields.

In a blog for SEMI, VLSI Research’s John West finds that critical subsystems for use in semiconductor manufacturing equipment will exceed $12.2 billion in 2020, a new record, and points to the key to suppliers’ success in a turbulent year.

Plus, don’t miss the blogs featured in the latest Automotive, Security & Pervasive Computing and Test, Measurement & Analytics newsletter:

Editor in Chief Ed Sperling contends that interactions and optimization make it much harder to determine when a system will fail, or even what that failure really means.

Rambus’ Paul Karazuba wonders if recent movements toward more stringent IoT security requirements are sufficient.

Synopsys’ Ron Lowman explains why bandwidth, latency, and power consumption are the primary challenges for upcoming 5G designs.

Siemens EDA’s Doug Burcicki describes using rules-based automation to generate proposals for the logic, software, hardware, and networks of an E/E system.

Cadence’s Paul McLellan delves into why the breach of SolarWinds network management software shows a major blind spot in cybersecurity.

Xilinx’s Sudip Nag spells out why modern cars need a sophisticated system of vehicle sensors and related processing to support new ADAS features.

ClioSoft’s Simon Rance advocates creating an automated flow to manage how designs are passed between schematics and layout engineers.

OneSpin’s John Hallman cautions that although you may feel good about your suppliers, 3PIPs require an independent trust assessment process.

Synopsys’ Robert Ruiz lays out a new approach to DFT insertion that supports accurate, early verification and seamless handoff to downstream synthesis.

Advantest’s Fabio Pizza explains how to increase test coverage and improve product quality for mission-critical applications.



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