Mindspeed adopts Berkeley Design Automation Analog FastSPICE platform for 100 Gigabit Ethernet

USA: Berkeley Design Automation Inc., announced that Mindspeed Technologies Inc., a leading supplier of semiconductor solutions for network infrastructure applications, has selected the company’s Analog FastSPICE (AFS) Platform for block-level characterization, device noise analysis, and full-circuit verification of the company’s wireless infrastructure, communications processors and high-performance analog devices.

“The circuits we design for wireless SoCs, communications processors, and high-performance analog products have stringent verification requirements to ensure we meet specifications,” said Hasnain Bajwa, senior VP and GM, high-performance analog, at Mindspeed. “We selected the AFS Platform because it delivers nanometer SPICE accurate results 5x-10x faster than traditional SPICE simulators and provides full-spectrum device noise analyses. AFS completed a locking simulation for a 28GHz PLL 6x faster than parallel SPICE running the same number of cores on the same machine.”

The Analog FastSPICE Platform provides the world’s fastest circuit verification for nanometer analog, RF, mixed-signal, and custom digital circuits. Foundry certified to 20nm, the AFS Platform delivers nanometer SPICE accuracy 5x-10x faster on a single core and 2x-4x faster on multicore systems versus any other simulator. For circuit characterization, the AFS Platform includes the industry’s only comprehensive silicon-accurate device noise analysis and delivers near-linear performance scaling with the number of cores.

For large circuits, it delivers >10M-element capacity, the fastest near-SPICE-accurate simulation, and the fastest, most accurate mixed-signal simulation. Available licenses include AFS circuit simulation, AFS Transient Noise Analysis, AFS RF Analysis, AFS Co-Simulation, AFS AMS, and AFS Nano SPICE.

“We are delighted that Mindspeed has adopted the AFS Platform for verification of their wireless infrastructure, communications processors, and high-performance analog devices,” said Ravi Subramanian, president and CEO of Berkeley Design Automation. “High-performance nanometer mixed-signal circuits are critical to enabling network infrastructure semiconductor solutions. Mindspeed’s selection further validates that Berkeley Design Automation is an essential partner to leading edge companies designing the next-generation of networking semiconductors.”