The Challenges Of Building Inferencing Chips


Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

The Cost Of Programmability


Nothing comes for free, and that is certainly true for the programmable elements in an SoC. But without them we are left with very specific devices that can only be used for one fixed application and cannot be updated. Few complex devices are created that do not have many layers of programmability, but the sizing of those capabilities is becoming more important than in the past. There are... » read more

Week In Review: Design, Low Power


Flex Logix uncorked a new EFLX 1K eFPGA core optimized for the needs of customers on TSMC 40nm Ultra Low Power (ULP) and 40nm Low Power (LP) process technologies. It targets customers focused on low cost and power management. Using a cut-down version and the same software of the EFLX 4K, the EFLX 1K Logic core has 368 inputs and 368 outputs with 900 LUT4 equivalent logic capacity. The EFLX 1K D... » read more

Where Is The eFPGA Market And Ecosystem Headed?


In this article we’ll discuss the availability of eFPGA, the applications for eFPGA and the current and future market size for eFPGA. eFPGA vendors & offerings Embedded FPGA is a new development this decade. There are now multiple vendors offering eFPGA on a wide range of process nodes with multiple customers. eFPGA Vendors Menta has had eFPGA available for the longest: their offe... » read more

What Engineers Are Reading And Watching


By Brian Bailey And Ed Sperling An important indicator of where the chip industry is heading is what engineers are reading and what videos they are watching. While some subjects remain on top, such as the level of interest in the latest manufacturing technologies, other areas come and go. The stories with the biggest traffic numbers are almost identical to last year. Readers want to know wh... » read more

Week in Review: IoT, Security and Automotive


Internet of Things Western Digital Corp. and Codasip are working together on Western Digital’s SweRV Core EH1, which is a RISC-V core with a 32-bit, dual superscalar, 9-stage pipeline architecture. The core, launched earlier this is aimed at embedded devices supporting data-intensive edge applications, such as storage controllers, industrial IoT, real-time analytics in surveillance systems, ... » read more

Planning For Failures In Automotive


The automotive industry is undergoing some fundamental shifts as it backs away from the traditional siloed approach to one of graceful failure, slowing the evolution to fully autonomy and rethinking how to achieve its goals for a reasonable cost. For traditional automakers, this means borrowing some proven strategies from the electronics world rather than trying to evolve traditional automot... » read more

eFPGA as Silicon Debugger


A variety of debugging features are available by implementing the Flex Logix embedded FPGA cores. This includes: • High observability—the many eFPGA IOs allow for thousands of signals to be monitored • Event detection—the eFPGA logic can be configured to detect very complex signal patterns to help identify meaningful events • High visibility—data can be logged by the eLA inside t... » read more

Where Is The Edge?


Mike Fitton, senior director of strategic planning at Achronix, talks about what the edge will look like, how that fits in with the cloud, what the requirements are both for processing and for storage, and how this concept will evolve.   Edge Knowledge Center Top stories, videos, blogs, white papers all related to the Edge » read more

FPGA Design Tradeoffs Getting Tougher


FPGAs are getting larger, more complex, and significantly harder to verify and debug. In the past, FPGAs were considered a relatively quick and simple way to get to market before committing to the cost and time of developing an ASIC. But today, both FPGAs and eFPGAs are being used in the most demanding applications, including cloud computing, AI, machine learning, and deep learning. In some ... » read more

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