Hidden Costs Of Shifting Left


The term "Shift Left" has been used increasingly within the semiconductor development flow to indicate tasks that were once performed sequentially must now be done concurrently. This is usually due to a tightening of dependences between tasks. One such example being talked about today is the need to perform hardware/software integration much earlier in the flow, rather than leaving it as a sequ... » read more

Blog Review: Apr. 25


Mentor's Cristian Filip digs into SerDes design with a focus on the adoption and evolution of Channel Operating Margin (COM) as a tool for ensuring compliance of high-speed designs and why it's useful even if its mathematical procedure might be intimidating at the beginning. Cadence's Paul McLellan explains the importance of IBIS and AMI standards for SerDes design and why the upcoming DDR5 ... » read more

The Week in Review: IoT


Cybersecurity The U.S. and U.K. governments collaborated on an unprecedented message on Monday, together warning that Russian cyberattacks may extend beyond government and private organizations to individual homes and offices. The attacks may focus on Internet of Things devices, said Rob Joyce, the cybersecurity coordinator for the National Security Council, who soon after resigned from the Wh... » read more

The Week In Review: Design


M&A The ESD Alliance is merging with SEMI, becoming a SEMI Strategic Association Partner. SE Editor In Chief Ed Sperling argues that the merger has broad implications for the chip industry, particularly as smaller nodes require greater collaboration between design and manufacturing. Meanwhile, SEMI president and CEO Ajit Manocha explains why the combining will be of benefit to members of b... » read more

Designing 5G Chips


5G is the wireless technology of the future, and it’s coming fast. The technology boasts very high-speed data transfer rates, much lower latency than 4G LTE, and the ability to handle significantly higher densities of devices per cell site. In short, it is the best technology for the massive amount of data that will be generated by sensors in cars, IoT devices, and a growing list of next-g... » read more

Blog Review: Apr. 18


Cadence's Meera Collier provides an overview of five emerging technologies that could drive the semiconductor industry in the future, from carbon nanotubes to quantum computing. Mentor's Colin Walls reminds embedded software developers of a few common sense tips, including better readability with braces in C/C++ and monitoring stack overflow. Synopsys' Tim Mackey rounds up the last few we... » read more

The Week in Review: IoT


Finance Palo Alto, Calif.-based Armis raised $30 million in Series B funding, bringing total funding for the provider of enterprise Internet of Things security to $47 million. Red Dot Capital Partners of Israel led the round, joined by Bain Capital Ventures. Existing investors Sequoia Capital and Tenaya Capital also participated in the latest funding, which Armis will use to expand sales and m... » read more

AI Signals A New Change Of Perspective


A very long time ago, I was a student at MIT, programming with card decks in APL on IBM mainframes and studying AI in a class from Patrick Winston (who took over MIT’s AI lab from the legendary Marvin Minsky). I kept the text book as a reminder of where the world would go. Over four titanic shifts, mainframes/card decks became VAX/VT100, thence to IBM PCs and PC clients tied by Ethernet to co... » read more

Optimizing Machine Learning Workloads On Power-Efficient Devices


Software frameworks for neural networks, such as TensorFlow, PyTorch, and Caffe, have made it easier to use machine learning as an everyday feature, but it can be difficult to run these frameworks in an embedded environment. Limited budgets for power, memory, and computation can all make this more difficult. At Arm, we’ve developed Arm NN, an inference engine that makes it easier to target di... » read more

Built-In Security For Auto Chips


The road to autonomous vehicles depends upon components that are secured against hacking and other outside interference. The cybersecurity precautions necessary for self-driving cars must be embedded in chips and systems from the beginning of the supply chain. Automotive manufacturers and their Tier 1 suppliers are counting on their electronics vendors to provide products that can withst... » read more

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