The Cost Of Accuracy


How accurate does a system need to be, and what are you willing to pay for that accuracy? There are many sources of inaccuracy throughout the development flow of electronic systems, most of which involve complex tradeoffs. Inaccuracy leaves an impact on your design in ways you are not even aware of, hidden by best practices or guard-banding. EDA tools also inject some inaccuracy. As the i... » read more

Reducing Latency, Power, and Gate Count with Floating-Point FMA


Today’s digital signal processing applications such as radar, echo cancellation, and image processing are demanding more dynamic range and computation accuracy. Floating-point arithmetic units offer better precision, higher dynamic range, and shorter development cycles when compared with fixed-point arithmetic units. Minimizing the design’s time to market is more important than ever. Algori... » read more

Formal Datapath Verification


J.T. Longino, formal verification application engineer at Synopsys, drills down into how to achieve confidence in datapath designs by applying formal solvers and methods to data transformation areas of a design rather than the control path areas. https://youtu.be/n1zO3GxEZVI     See other tech talk videos here. » read more

What Makes A Good AI Accelerator


The rapid growth and dynamic nature of AI and machine learning algorithms is sparking a rush to develop accelerators that can be optimized for different types of data. Where one general-purpose processor was considered sufficient in the past, there are now dozens vying for a slice of the market. As with any optimized system, architecting an accelerator — which is now the main processing en... » read more

Reconfigurable eFPGA For Aerospace Applications


Market research reports indicate about 10% of all dollar revenue of FPGA chips is for use in aerospace applications, and DARPA/DoD reports indicate about one-third of all dollar volume of ICs purchased by U.S. aerospace are FPGAs. FPGAs clearly are very important for aerospace applications because of a combination of short development time and the long mission life of many aerospace applica... » read more

High-Speed SerDes At 7nm


eSilicon’s David Axelrad discusses the challenges with 56Gbps and 112Gps SerDes, and why the switch from analog to digital is required for performance and low power. https://youtu.be/E-CU8TLvjjc » read more

Tech Talk: eFPGA Performance Benchmarking


Tony Kozaczuk, director of system architecture at Flex Logix, explains how to avoid bottlenecks and improve throughput and performance in embedded FPGAs. https://youtu.be/dPDylKG7jhA » read more

Higher Performance, Lower Power Everywhere


The future of technology is all about information—not just data—at our fingertips, anywhere and at any time. But making all of this work properly will require massive improvements in both performance and power efficiency. There are several distinct pieces to this picture. One is architectural, which is possibly the simplest to understand, the most technologically challenging to realize, ... » read more

The Week In Review: Design


Tools & IP Cadence unveiled its latest DSP for embedded vision and AI, Tensilica Vision Q6 DSP. The DSP is built on a 13-stage processor pipeline and new system architecture designed for use with large local memories, and achieves 1.5GHz peak frequency and 1GHz typical frequency at 16nm. Compared to its predecessor, it offers 1.5X greater vision and AI performance than its predecessor and ... » read more

Scaling Up Vision And AI DSP Performance


Imagine these futuristic scenarios: you hold your phone up to your face, and it automatically recognizes you and unlocks, so you can access content. A sensor at your front door recognizes that you are not an intruder, no matter what the wind has done to your hair or whether your face is obscured by a scarf. How about an autonomous car that recognizes your driving style, so not only can you turn... » read more

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