Why IP Quality Is So Difficult To Determine


Differentiating good IP from mediocre or bad IP is getting more difficult, in part because it depends up on how and where it is used and in part because even the best IP may work better in one system than another—even in chips developed by the same vendor. This has been one of the challenges with IP over the years. In many cases, IP is poorly characterized, regardless of whether that IP wa... » read more

Week In Review: Design, Low Power


M&A Marvell will acquire Avera Semiconductor, the ASIC business of GlobalFoundries, for $650 million in cash at closing plus an additional $90 million in cash if certain business conditions are satisfied within the next 15 months. The agreements include transfer of Avera's revenue base, strategic design wins with infrastructure OEMs, and a new long-term wafer supply agreement between Globa... » read more

Chiplet Momentum Builds, Despite Tradeoffs


Chip design is a series of tradeoffs. Some are technical, others are related to cost, competitive features or legal restrictions. But with the nascent 'chiplet' market, many of the established balance points are significantly altered, depending on market segments and ecosystem readiness. Chiplets provide an alternative mechanism for integrating intellectual property (IP) blocks into a semico... » read more

ASIC/IC Trends With A Focus On Factors Of Silicon Success


“The more you know, the more you know you don't know.” ― Aristotle, 4th C. BC When Aristotle uttered this humble aphorism, he wasn’t telling us to throw up our hands and not bother with learning. He was encouraging us to continue digging deeper, to get answers and ask questions of those answers — that the thrills and rewards of study are truly without end. This is a big part of ou... » read more

Challenges In Using HLS For FPGA Design


High-level synthesis (HLS) tools, which transform C/C++ source code to Verilog/VHDL, have been commercially available for over 15 years. HLS tools from FPGA vendors and EDA companies promise improved productivity through a higher-level of abstraction, faster verification and quicker design iterations. For example, simulating your design in C/C++ can be 10 to 100x faster than simulating in RTL (... » read more

Hardware Trojans And The Problem Of Trust In Integrated Circuits


Electronic systems are at the core of an ever-increasing number of products and services. From power plants to automobiles, from medical devices to airplanes, from smartphones to home appliances, complex electronic systems enable an unprecedented level of automation, performance, safety, and security. Integrated circuits (ICs) are the backbone of these systems. It is of paramount importance tha... » read more

The Case For Embedded FPGAs Strengthens And Widens


The embedded FPGA, an IP core integrated into an ASIC or SoC, is winning converts. System architects are starting to see the benefits of eFPGAs, which offer the flexibility of programmable logic without the cost of FPGAs. Programmable logic is especially appealing for accelerating machine learning applications that need frequent updates. An eFPGA can provide some architects the cover they ne... » read more

The Role Of EDA In AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

More Memory And Processor Tradeoffs


Creating a new chip architecture is becoming an increasingly complex series of tradeoffs about memories and processing elements, but the benefits are not always obvious when those tradeoffs are being made. This used to be a fairly straightforward exercise when there was one processor, on-chip SRAM and off-chip DRAM. Fast forward to 7/5nm, where chips are being developed for AI, mobile ph... » read more

From AI Algorithm To Implementation


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

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