Week In Review: Auto, Security, Pervasive Computing


Security Many IoT devices have some of the 19 bugs known as Ripple20 vulnerabilities. Researchers JSOF discovered the security flaws in library produces by Treck, Inc., which is used in many IoT devices. Edge, cloud, data center Rambus delivered its 112G XSR/USR PHY IP on TSMC 7nm process (N7). The SerDes PHY was designed for chiplets and co-packaged optics (CPO) architectures that are des... » read more

Startup Funding: May 2020


It was a good month for semiconductor startups, with investment spanning a larger company in later funding rounds to brand new seed funding for two chip manufacturing startups. Two AI hardware startups bridge data center and edge, plus EV companies around the world get funding. In total, the eighteen startups profiled this month raised $446.3 million. Semiconductor & design Shanghai-based ... » read more

Week In Review: Design, Low Power


Tools & IP Cadence unveiled ten two verification IP (VIP) to support hyperscale data centers, automotive, and consumer and mobile applications. The new VIPs include complete bus functional models, integrated protocol checks and coverage models, and a specification-compliant verification plan. The VIPs cover CXL, HBM3, Ethernet 802.3ck, CSI-2 3.0, MIPI I3C 1.1, TileLink, eUSB2, UFS 3.1, MIP... » read more

Week In Review: Auto, Security, Pervasive Computing


Edge, cloud, data center Cadence added new verification IP (VIP) for hyperscalar data centers that supports CXL – Compute Express Link, HBM3, and Ethernet 802.3ck. The VIP are part of Cadence’s Verification Suite. Cadence also released IP for 56G long-reach SerDes on TSMC’s N7 and N6 process technologies. Many Mentor, a Siemens Business, IC design tools are now certified TSMC’s N5 a... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Ninety-one percent of commercial applications contain outdated or abandoned open-source components —a security threat, says Synopsys in its recently released report 2020 Open Source Security and Risk Analysis (OSSRA). In the fifth annual edition of the report, Synopsys’ research team in its Cybersecurity Research Center (CyRC) found that 99% of the 1,250 commercial codebases revie... » read more

Week In Review: Auto, Security, Pervasive Computing


Synopsys has added nanoscale and macroscale illumination optics to its RSoft Photonic Device Tools version 2020.03. ARVR designers can use the RSoft-LightTools Bidirectional Scattering Distribution Function (BSDF) interface to make interpolated BSDF files for optimized nanoscale and macroscale optics, such as freeform optical prism projectors, eye tracking technologies, and optical planar waveg... » read more

Tracking Automotive’s Rapidly Shifting Ecosystem


The automotive ecosystem is becoming much harder to navigate as automakers, Tier 1s and IP vendors redefine their relationships based upon shifting value caused by an rapidly expanding amount of increasingly interdependent and complex electronic content. Predictions of massive change started almost a decade ago with a number of pilot programs around autonomous vehicles. But those shifts real... » read more

Week In Review: Manufacturing, Test


The coronavirus (COVID-19) continues to have an impact on most, if not all, industries. This includes the electronics, semiconductor and related segments. International Data Corp. (IDC) has released a report on the company’s view on the impact the COVID-19 virus will have on the semiconductor market. The report provides a framework to evaluate the market impact through four scenarios. "... » read more

New Architectural Issues Facing Auto Ecosystem


As chips bound for the automotive world move to small process nodes, including 5nm and below, the automotive ecosystem is wrestling with both scaling issues and challenges related to architecting safety-critical systems using fewer chips. This may sound counterintuitive, because one of the main reasons automotive chip providers are moving to smaller nodes is to reduce the number of chips in ... » read more

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

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