Week In Review: Design, Low Power
By Jesse Allen - 15 Nov, 2019 - Comments: 0

M&A eSilicon will be acquired by Inphi Corporation and Synopsys. Inphi is acquiring the majority of the company, including the ASIC business and 56/112G SerDes design and related IP, for $216 million in both cash and the assumption of debt. Inphi expects to combine its DSP, TiA, Driver and SiPho products with eSilicon’s 2.5D packaging and custom silicon design capabilities for electro-optics... » read more

Week in Review: IoT, Security, Automotive
By SE Staff - 15 Nov, 2019 - Comments: 0

Connectivity, 5G Rambus has revealed a PCI Express 5.0 interface on advanced 7nm finFET process node for heterogenous computing aimed at performance-intensive uses, such as AI, data center, HPC, storage and 400GbE networking. With a PHY and a digital controller core recently acquired Northwest Logic, the interface has 32 GT/s (gigatransfers per second) bandwidth per lane with 128 GB/s bandwidt... » read more

GDDR6 Drilldown: Applications, Tradeoffs And Specs
By Ed Sperling - 15 Nov, 2019 - Comments: 0

Frank Ferro, senior director of product marketing for IP cores at Rambus, drills down on tradeoffs in choosing different DRAM versions, where GDDR6 fits into designs versus other types of DRAM, and how different memories are used in different vertical markets. » read more

AI’s Impact On Power And Performance
By Ed Sperling - 14 Nov, 2019 - Comments: 0

AI/ML is creeping into everything these days. There are AI chips, and there are chips that include elements of AI, particularly for inferencing. The big question is how well they will affect performance and power, and the answer isn't obvious. There are two main phases of AI, the training and the inferencing. Almost all training is done in the cloud using extremely large data sets. In fact, ... » read more

Virtual System Development Platforms For Safeguarding Complex Microelectronic Systems
By Roland Jancke - 14 Nov, 2019 - Comments: 0

Electronic systems are rapidly becoming more complex. This impacts almost all domains in which electronics are used today — especially industrial applications, medical engineering, communications engineering and, of course, automotive applications. What's changed is the addition of huge numbers of sensors and actuators that interact with the environment, the local integration of highly co... » read more

GDDR6 Pushes The Memory Envelope For AI And ADAS
By Frank Ferro - 14 Nov, 2019 - Comments: 0

Memory bandwidth is an ever-increasing critical bottleneck for a wide range of use cases and applications. These include artificial intelligence (AI), machine learning (ML), advanced driver-assistance systems (ADAS), as well as 5G wireless and wireline infrastructure. In addition to memory bottlenecks, the above-mentioned use cases and applications are rapidly hitting the real-world limits of t... » read more

Three Steps To Complete Reset Behavior Verification
By Chris Kwok - 14 Nov, 2019 - Comments: 0

By Chris Kwok, Priya Viswanathan, and Ping Yeung Reset architectures are notoriously complex and difficult to verify. Today’s SoCs contain highly complex reset distributions and synchronization circuitry. Often, reset trees can be larger than clock trees and have many of the same potential issues. Verifying that a design can be correctly reset under all modes of operation presents signi... » read more

Implementing Low-Power Machine Learning In Smart IoT Applications
By Pieter van der Wolf - 14 Nov, 2019 - Comments: 0

By Pieter van der Wolf and Dmitry Zakharov Increasingly, machine learning (ML) is being used to build devices with advanced functionalities. These devices apply machine learning technology that has been trained to recognize certain complex patterns from data captured by one or more sensors, such as voice commands captured by a microphone, and then performs an appropriate action. For example,... » read more

The Challenge Of Defining Worst Case
By Brian Bailey - 14 Nov, 2019 - Comments: 0

Worst case conditions within a chip are impossible to define. But what happens if you missed a corner case that causes chip failure? As the semiconductor market becomes increasingly competitive — startups and systems companies are now competing with established chipmakers — no one can afford to consider theoretical worst cases. Instead, they must intelligently prune the space to make sur... » read more

Scalable Platforms For Evolving AI
By Steve Roddy - 14 Nov, 2019 - Comments: 0

Wear and tear on big, heavy vehicles such as trains can cause unexpected delays and repairs, not to mention create safety hazards that can go unnoticed for months until they become critical. In the past, maintenance teams personally examined the undercarriage of a locomotive to look for stress cracks and other anomalies. Later, imaging and sonar technologies were introduced to find what the hum... » read more

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