EDA

July 3, 2018

Fusion improves timing say Synopsys users

Early-access customers talked about their experiences with the Synopsys Fusion-based flow in a panel session at the DAC.
Article  |  Tags: , , , , ,   |  Organizations: , , , ,
July 2, 2018

Tools suppliers back version 1.0 of portable-stimulus standard

Accellera has published the first release of the Portable Test and Stimulus Standard (PSS), with tools suppliers following up with software support.
June 27, 2018

EDA needs to work on the back end, says Qualcomm

It’s the back-end that needs work as system-level considerations begin to dominate design, Qualcomm’s vice president of engineering said at DAC.
Article  |  Tags: , , , , ,   |  Organizations:
June 27, 2018

Remember the design gap? It’s back

Fifteen years on from the design gap that triggered the IP revolution, implementation costs have created a new one.
Article  |  Tags: , , ,   |  Organizations: , ,
June 26, 2018

EDA learns to love AI

Machine learning is gradually moving into implementation and verification tools for EDA.
June 25, 2018

Cadence puts tools in the cloud

Cadence Design Systems has made a collection of its tools suitable for cloud computing, providing them for both Cadence- and customer-managed environments.
Article  |  Tags: , ,   |  Organizations:
June 25, 2018

Node-variant FinFET tweaks try to improve cost, performance

Foundries have taken aim at standard-cell track height and design-rule tweaks to try to improve the area efficiency and performance of derivative finFET processes.
June 22, 2018

Mentor strikes deal to buy Austemper

Deal to buy functional safety specialist builds out the automotive and Industry 4.0 offerings for Mentor and its parent Siemens.
Article  |  Tags: , , ,   |  Organizations: ,
June 22, 2018

GlobalFoundries plays with metal gear in search for solid gains

At VLSI Symposia 2018, GlobalFoundries researchers proposed looking at the metal-gate ‘gear’ ratio as a way of improving the routability of standard cells.
June 21, 2018

AI is all about low-energy hardware says Dally

For nVidia chief scientist and Stanford professor Bill Dally, now is a great time to be involved in hardware design, thanks to the rise of AI.