Speeding Up AI With Vector Instructions


A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort. Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, elim... » read more

A Machine Learning-Based Approach To Formality Equivalence Checking


By Avinash Palepu, Namrata Shekhar and Paula Neeley After a long and hard week, it is Friday night and you are ready to relax and unwind with a glass of wine, a sumptuous dinner and a great movie. You turn on Netflix and you expect that it will not only have plenty of pertinent suggestions for you, but also the most appropriate one based on all the previous movies and shows that you have wat... » read more

Machine Learning Enabled High-Sigma Verification Of Memory Designs


Emerging applications and the big data explosion have made memory IPs ubiquitous in modern-day electronics. Specifically, the demand for memories with low-die area, low voltage, high capacity, and high performance is rising for use by data center and cloud computing servers. This is essential to serve the exponentially growing connectivity boom and the latest emerging 5G based systems, includin... » read more

One More Time: TOPS Do Not Predict Inference Throughput


Many times you’ll hear vendors talking about how many TOPS their chip has and imply that more TOPS means better inference performance. If you use TOPS to pick your AI inference chip, you will likely not be happy with what you get. Recently, Vivienne Sze, a professor at MIT, gave an excellent talk entitled “How to Evaluate Efficient Deep Neural Network Approaches.” Slides are also av... » read more

Startup Funding: September 2020


It was a good month for startups, with big rounds in automotive, data centers, and AI. A new startup with big backing is taking aim at energy inefficiency in the data center, and another is looking to make the industrial IoT battery-free. SK Hynix founded a new company to analyze semiconductor manufacturing data, and one of China's EV companies sees a massive cash infusion. This month, we look ... » read more

Security At The Edge


Semiconductor Engineering sat down to discuss security at the edge with Steven Woo, vice president of enterprise solutions technology and distinguished inventor at Rambus, Kris Ardis, executive director at Maxim Integrated; and Steve Roddy, vice president of Arm's Products Learning Group. What follows are excerpts of that conversation. To view part one of this discussion, click here. Part two i... » read more

Optimizing What Exactly?


You can't optimize something without understanding it. While we inherently understand what this means, we are often too busy implementing something to stop and think about it. Some people may not even be sure what it is that they should be optimizing and that makes it very difficult to know if you have been successful. This was a key message delivered by Professor David Patterson at the Embedde... » read more

Have Processor Counts Stalled?


Survey data suggests that additional microprocessor cores are not being added into SoCs, but you have to dig into the numbers to find out what is really going on. The reasons are complicated. They include everything from software programming models to market shifts and new use cases. So while the survey numbers appear to be flat, market and technology dynamics could have a big impact in resh... » read more

New Uses For Assertions


Assertions have been a staple in formal verification for years. Now they are being examined to see what else they can be used for, and the list is growing. Traditionally, design and verification engineers have used assertions in specific ways. First, there are assertions for formal verification, which are used by designers to show when something is wrong. Those assertions help to pinpoint wh... » read more

Productivity Keeping Pace With Complexity


Designs have become larger and more complex and yet design time has shortened, but team sizes remain essentially flat. Does this show that productivity is keeping pace with complexity for everyone? The answer appears to be yes, at least for now, for a multitude of reasons. More design and IP reuse is using more and larger IP blocks and subsystems. In addition, the tools are improving, and mo... » read more

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