AI Chip Architectures Race To The Edge


As machine-learning apps start showing up in endpoint devices and along the network edge of the IoT, the accelerators that make AI possible may look more like FPGA and SoC modules than current data-center-bound chips from Intel or Nvidia. Artificial intelligence and machine learning need powerful chips for computing answers (inference) from large data sets (training). Most AI chips—both tr... » read more

The Rise Of Layout-Dependent Effects


By Ann Steffora Mutschler Designing for today’s advanced semiconductor manufacturing process nodes brings area, speed, power and other benefits but also new performance challenges as a result of the pure physics of running current through tiny wires. Layout-dependent effects (LDE), which emerged at 40nm and are having a larger impact at 28 and 20nm, introduce variability to circuit ... » read more