The new AFS Platform release includes:
- New AFS Mega-Solver matrix solvers that deliver efficient convergence and fast transient analysis for pre-layout and post-layout circuits with up to 10M elements.
- New AFS Multi-Core capability which provide up to an additional 2x or higher performance than single-threaded Analog FastSPICE when run on up to 4 cores.
- Enhanced Monte Carlo analysis that supports all commonly used features, including Latin Hypercube Sampling, in the industry's leading netlist styles.
- WaveCrave™ waveform processor enhancements that provide improved performance, advanced RF calculator functions, 64-bit capacity, and enhanced output file support.
- New "master" licenses that enable unlimited use of the company's true SPICE accurate Noise Analysis Option™ and AFS Co-Simulation option.
"Our design verification flow has to be extremely efficient to maintain our technological leadership in RF silicon solutions for the consumer and automotive electronics markets," said Kim Beumer, Director IC Design at Microtune®, Inc. "With the AFS Platform we are getting up to 5 to 10x faster true SPICE accurate results at the block, complex-block, and full-circuit levels. When running the AFS Platform with co-simulation on our full-circuit we are seeing up to 100x speed-up over traditional SPICE with identical results."
"At Axiom we have been using Analog FastSPICE for over two years for verification of our fully integrated CMOS power amplifiers for mobile handsets and we typically get 5x-10x faster results than traditional SPICE simulators with identical waveforms," said David Kang, Vice President of Engineering for Axiom Microdevices. "The AFS Platform enables our design teams to be much more productive. With the addition of AFS Nano, it now addresses our needs for block, complex block, and full-circuit design verification with true SPICE accuracy and within a single executable."
Analog FastSPICE is the industry's only unified circuit verification platform for analog, mixed-signal, and RF design. Always delivering true SPICE accurate results, it provides 5x-20x higher performance than traditional SPICE, >10 million-element capacity, and the industry's only comprehensive noise analysis. The AFS Platform is a single executable that uses advanced algorithms and numerical analysis to rapidly solve the full-circuit matrix and original device equations without any shortcuts. AFS Platform tools include: AFS Nano SPICE simulator, Analog FastSPICE circuit simulator, Noise Analysis Option™ device noise analyzer, and RF FastSPICE™ multi-tone periodic analyzer.
"AMS/RF design teams need to work as efficiently as possible to do more with their scarce resources - and this is true now more than ever before," said Ravi Subramanian, President and CEO of Berkeley Design Automation. "Never sacrificing accuracy, performance, capacity, or functionality, the AFS Platform enables design teams to perform the fastest iterations, deepest physical analyses, most rigorous characterization, and most comprehensive verification possible."
About Berkeley Design Automation
Berkeley Design Automation, Inc. is the recognized leader in advanced analog, mixed-signal, and RF (AMS/RF) verification. Its Analog FastSPICE unified circuit verification platform combines the accuracy, performance, and capacity needed to verify GHz designs in nanometer-scale silicon. Design teams from top-10 semiconductor companies to leading startups use the AFS Platform to efficiently verify AMS/RF circuits. Founded in 2003, the company has received several industry awards in recognition of its technology leadership and impact on the electronics industry. The company is privately held and backed by Woodside Fund, Bessemer Venture Partners, Panasonic Corporation, and NTT Corporation. For more information, see http://www.berkeley-da.com.
Analog FastSPICE, AFS Nano, Noise Analysis Option, RF FastSPICE, PLL Noise Analyzer, WaveCrave, and Precision Circuit Analysis are trademarks of Berkeley Design Automation, Inc. Berkeley Design and BDA are registered trademarks of Berkeley Design Automation, Inc. Any other trademarks or trade names mentioned are the property of their respective owners.
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Michelle
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