QuickLogic Corporation announced the availability of its ArcticPro 3 embedded FPGA (eFPGA) IP, which is now available on Samsung’s 28nm FD–SOI process, enabling OEMs and semiconductor companies to seamlessly integrate the capability of discrete FD-SOI FPGAs into their own ASICs/SoCs, greatly optimizing system performance, power consumption and cost for Edge AI use cases in consumer, IoT, and automotive applications.
QuickLogic’s ArcticPro 3 eFPGA IP has been designed from the ground up on the Samsung 28FDS process, resulting in a significant boost in performance and delivering ultra-low standby current leakage. The 28FDS process supports body biasing, enabling OEMs and semiconductor companies the ability to “dial-in” the ideal performance/power consumption parameters to meet their system requirements.
The ArcticPro 3 IP is developed with a homogenous, reprogrammable fabric architecture based on SLCs (Super Logic Cells), which consist of eight LUT4 + Register blocks, and it uses a hierarchical routing scheme that strikes the optimum performance and power consumption balance needed for computation heavy, battery-powered or other power-sensitive products. In addition to the logic fabric, the eFPGA IP includes the option to integrate fixed function blocks such as embedded RAM and fracturable Multiply-Accumulate (MAC) blocks to efficiently implement hardware accelerators for neural networks and other computationally intensive circuits foundational in AI/ML applications. ArcticPro 3 is supported by QuickLogic’s proprietary tools as well as the ground-breaking QuickLogic Open Reconfigurable Computing (QORC) vendor-supported open source FPGA development tools, giving designers full control over their system software development environment.
Over the past three decades, QuickLogic’s eFPGA IP has been implemented in numerous SoCs, MCUs, and discrete FPGAs, and shipped in millions of units into multiple end markets such as consumer, IoT, military, and industrial.
QuickLogic’s ArcticPro 3 eFPGA technology on Samsung’s 28nm FD–SOI process is available now.