47th Design Automation Conference (DAC) - Exhibit at booth 1321
Accelicon Technologies will exhibit at booth 1321 at the 47th Design Automation Conference (DAC) to held at the Anaheim Convention Center June 13 -18. Exhibits are open Monday June 14th – Wednesday June 16th from 9am – 6pm.
Accelicon will be demonstrating their industry-leading device modeling generation and validation solutions MBP and MQA. Please contact Tim K Smith tsmith@accelicon.com to schedule a meeting and/or demonstration. More information can be found at the DAC Accelicon ebooth: http://www.dac.com/ebooth/exhibitor.aspx?mpid=880&confid=14 .
DAC is the world’s leading technical conference and tradeshow, covering the latest trends in electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business — where critical industry issues are faced and solutions presented.
Accelicon Technologies, Inc. based in Cupertino California, is the technology leader in device-level modeling and validation. Profitable, in its eigth year, and with over 100 customers worldwide, Accelicon has established itself as a market leader as well. Accelicon’s products are: MBP for device-level extraction and model generation, MQA for device-level model validation, and PQA for advanced model analysis including layout effects. MBP is the next-generation device-level model extraction and generation solution, incorporating superior optimization and simulation for ‘order of magnitude’ performance improvement. Innovative patented features, such as task tree ordering and equation viewer, enable unparalleled ease of use. MQA is a rules-driven device-level model validation solution used by foundries for model QA and semiconductor design houses for model qualification. MQA is also used for model and simulator comparison as well as a documentation standard. PQA automates the analysis of advanced model layout-effects on the design. Second-order layout-dependent effects, characteristic in finer geometry processes, are significantly complicating advanced model validation, thus requiring automated validation techniques.
