ML Opening New Doors For FPGAs


FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those of more conventional solutions. This opens up a hot new market for FPGAs, which traditionally have been hard to sustain in high-volume production due to pricing, and hard to use for battery-dri... » read more

The Next Advanced Packages


Packaging houses are readying their next-generation advanced IC packages, paving the way toward new and innovative system-level chip designs. These packages include new versions of 2.5D/3D technologies, chiplets, fan-out and even wafer-scale packaging. A given package type may include several variations. For example, vendors are developing new fan-out packages using wafers and panels. One is... » read more

Week In Review: Auto, Security, Pervasive Computing


Edge, cloud, data center Programmable logic company Efinix used Cadence’s Digital Full Flow to finish Efinix’s Trion FPGA family for edge computing, AI/ML and vision processing applications, according to a press release. Last week Efinix also announced three software defined SoCs based on the RISC-V core. The SoCs are optimized to the Trion FPGAs. AI, machine learning Amazon will tempo... » read more

Configuring Processors In The Field


The convergence of two technologies, extensible processors and embedded FPGAs, is enabling the creation of processors that can be dynamically configured in the field. But it's not clear if there is a need for them or how difficult would it be to program them. This remains an open question even though there is evidence of its usefulness in the past and new products are expected to reach the mark... » read more

eFPGA As Fast And Dense As FPGA, On Any Process Node


A challenge for eFPGA when we started Flex Logix is that there are many customers and applications, and they all seemed to want eFPGA on different foundries, different nodes and different array sizes. And everyone wanted the eFPGA to be as fast and as dense as FPGA leaders’ on the same node. Oh, and customers seem to wait to the last minute then need the eFPGA ASAP. Xilinx and Altera (Intel ... » read more

Connecting Emulated Designs To Real PCIe Devices


These days verification teams no longer question whether hardware assisted verification should be used in their projects. Rather, they ask at which stage they should start using it. Contemporary System-on-Chip (SoC) designs are already sufficiently complex to make HDL simulation a bottleneck during verification, without even mentioning hardware-software co-verification or firmware and softwa... » read more

FPGA Equivalence Checking For A Nuclear Safety Controller


Every chip development team wants to find and fix all the bugs they possibly can in pre-silicon verification. Turning a chip to fix issues found in the bring-up lab incurs high costs and product delays; bugs found in the field are even more expensive to repair. But for some applications, including military/aerospace, implanted medical devices, and autonomous vehicles, the consequences of a faul... » read more

Developing 4K Video Projects With FPGAs


Achieving higher resolution is a never-ending race for camera, TV and display manufacturers. After the emergence of 4K ultra high definition (Ultra HD) imaging in the market, it became the main standard for today’s multimedia products. 4K Ultra HD brings us bigger screens which give an immersive feeling. With this standard, the pixilation problem was solved in the big screens. 4K consumers ar... » read more

Trust Assurance And Security Verification of Semiconductor IPs And ICs


Connected autonomous vehicles, 5G networks, Internet-of-things (IoT) devices, defense systems, and critical infrastructure use ASIC and FPGA SoCs running artificial intelligence algorithms or other complex software stacks. Vulnerable or tampered ICs can compromise the safety of people and the confidentiality, integrity, and availability of sensitive information. This paper analyzes the trust... » read more

Designing Ultra Low Power AI Processors


AI chip design is beginning to shift direction as more computing moves to the edge, adding a level of sophistication and functionality that typically was relegated to the cloud, but in a power envelope compatible with a battery. These changes leverage many existing tools, techniques and best practices for chip design. But they also are beginning to incorporate a variety of new approaches tha... » read more

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