Early Power Modeling Using SystemC And TSMC System-PPA

Power consumption is often more important than performance in today’s SoC designs because of battery size and power dissipation limitations. The dilemma is that the most leverage available to optimize power consumption is at the architectural design stage, but there often is not enough information available early enough to make accurate power decisions. On the performance side, SystemC mod... » read more

The Week In Review: Design

Tools Synopsys updated RSoft, its software for the design of photonic devices. The updates include increased integration with the company's TCAD products as well as faster simulations and additional ways to customize photonic device analysis. IP Mentor Graphics, Northwest Logic, and Krivi Semiconductor collaborated on DDR4 SDRAM IP to integrate design and verification into a single flo... » read more

Neural Net Computing Explodes

Neural networking with advanced parallel processing is beginning to take root in a number of markets ranging from predicting earthquakes and hurricanes to parsing MRI image datasets in order to identify and classify tumors. As this approach gets implemented in more places, it is being customized and parsed in ways that many experts never envisioned. And it is driving new research into how el... » read more

What Can Go Wrong In Automotive

Semiconductor Engineering sat down to discuss automotive engineering with Jinesh Jain, supervisor for advanced architectures in Ford’s Research and Innovation Center in Palo Alto; Raed Shatara, market development for automotive infotainment at [getentity id="22331" comment="STMicroelectronics"]; Joe Hupcey, verification product technologist at [getentity id="22017" e_name="Mentor Graphics"]; ... » read more

The Week In Review: Design

Numbers EDA and IP sales increased 5.6% in Q2 to $2.013 billion, up from $1.907 billion in the same period in 2015, according to the most recent Electronic System Design Alliance numbers. Asia/Pacific revenue increased 10.9% to $608.1 million; Japan increased 15.7% to $211.4 million. The Americas increased 4.4% to $908.4 million. IP Cadence launched the latest generation of its Xtensa ... » read more

Building Chips That Can Learn

The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

Plugging Holes In Machine Learning

The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

The Week In Review: Design

IP Sonics unveiled Energy Processing Unit (EPU) IP, based on the company's ICE-Grain power architecture, to better manage and control circuit idle time. The IP facilitates design of SoC power architecture and implementation and verification of the resulting power management subsystem. Synopsys debuted ARC SEM security processors with timing and power randomization features to protect agai... » read more

The Week In Review: Design

M&A Intel will acquire Movidius, adding the company's low-power vision processing unit to its growing computer vision efforts that include a depth-sensing camera and machine learning projects. At the same time, Intel is shedding cybersecurity unit McAfee (acquired in 2011 for $7.7 billion and re-named Intel Security in 2014). Intel will retain a 49% stake in the business with the 51% rem... » read more

What’s Missing From Machine Learning

Machine learning is everywhere. It's being used to optimize complex chips, balance power and performance inside of data centers, program robots, and to keep expensive electronics updated and operating. What's less obvious, though, is there are no commercially available tools to validate, verify and debug these systems once machines evolve beyond the final specification. The expectation is th... » read more

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