tag: Nvidia

The Challenges Of Building Inferencing Chips
By Ann Mutschler - 27 Feb, 2020 - Comments: 0

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

Uses, Limits And Questions For FPGAs In Autos
By Ann Mutschler - 06 Feb, 2020 - Comments: 0

Programmable logic in automotive applications is essential, given the parade of almost constant updates and shifts in direction, but exactly where the technology will be used has become a moving target. This isn't entirely surprising in the automotive industry. Carmakers are moving into electrification and increasing levels of automation in fits and starts, sometimes with dramatic swings in ... » read more

Hardware Attack Surface Widening
By Ed Sperling - 06 Feb, 2020 - Comments: 0

An expanding attack surface in hardware, coupled with increasing complexity inside and outside of chips, is making it far more difficult to secure systems against a variety of new and existing types of attacks. Security experts have been warning about the growing threat for some time, but it is being made worse by the need to gather data from more places and to process it with AI/ML/DL. So e... » read more

Blog Review: Jan. 8
By Jesse Allen - 08 Jan, 2020 - Comments: 0

Synopsys' Taylor Armerding digs into the privacy and security concerns surrounding connected toys and argues that the current practice of consumers bearing much of the burden to determine what is safe is not viable. In a podcast, Mentor's John McMillan looks back at the past decade in technology and what the next may hold in store as areas like AI and automotive get going. Cadence's Madha... » read more

What Worked, What Didn’t In 2019
By Brian Bailey - 19 Dec, 2019 - Comments: 1

2019 has been a tough year for semiconductor companies from a revenue standpoint, especially for memory companies. On the other hand, the EDA industry has seen another robust growth year. A significant portion of this disparity can be attributed to the number of emerging technology areas for semiconductors, none of which has reached volume production yet. Some markets continue to struggle, a... » read more

MLPerf Benchmarks
By Ed Sperling - 11 Dec, 2019 - Comments: 2

Geoff Tate, CEO of Flex Logix, talks about the new MLPerf benchmark, what’s missing from the benchmark, and which ones are relevant to edge inferencing. » read more

Week In Review: Manufacturing, Test
By Mark LaPedus - 06 Dec, 2019 - Comments: 0

Chipmakers United Microelectronics Corp. (UMC) has announced the readiness of its new 22nm process. The process enables new 22nm designs or allows customers to migrate from 28nm to 22nm. UMC’s 22nm maintains its existing 28nm design architectures. UMC's 22nm process features a 10% area reduction, better power-to-performance ratio and enhanced RF capabilities, compared to the company’s 2... » read more

Week In Review: IoT, Security, Auto
By Susan Rambo - 06 Dec, 2019 - Comments: 0

Internet of Things SiFive is bringing RISC-V to IoT makers and university developers through the RISC-V-based SiFive Learn Initiative, an open-source learning package that can be used to create a low-cost RISC-V hardware compatible with AWS IoT Core. The development platform SiFive Learn Inventor has a software package and education enablement course. It includes: The programmable SiFive Lear... » read more

Where Is The Edge AI Market And Ecosystem Headed?
By Geoff Tate - 05 Dec, 2019 - Comments: 1

Until recently, most AI was in datacenters and most was training. Things are changing quickly. Projections are AI sales will grow rapidly to $10s of billions by the mid 2020s, with most of the growth in Edge AI Inference. Edge inference applications Where is the Edge Inference market today? Let’s look at the markets from highest throughput to lowest. Edge Servers Recently Nvidia annou... » read more

Blog Review: Dec. 4
By Jesse Allen - 04 Dec, 2019 - Comments: 0

Arm's Rupal Gandhi digs into the Cell-Aware Test methodology to deterministically target the growing number of defects that occur within the cells, the process of CAT library generation, and compares the static and transition patterns generated. Cadence's Paul McLellan shares highlights from the recent WOSET event with a look at the big drivers for the current interest in open-source EDA too... » read more

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