Grappling With Manufacturing Data


As complexity goes up with each new process node, so does the amount of data that is generated, from initial GDSII to photomasks, manufacturing, yield and post-silicon validation. But what happens to that data, and what gets shared, remain a point of contention among companies across the semiconductor ecosystem. The problem is that to speed up the entire design through manufacturing process,... » read more

System Bits: Sept. 13


Big data programming language MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers this week are presenting a new programming language, called Milk, that lets application developers manage memory more efficiently in programs that deal with scattered data points in large data sets. The researchers reminded that in today’s computer chips, memory management is base... » read more

Gaps Emerge In Test Flows


Gaps are showing up in test flows as chipmakers add more analog content and push into more safety-critical applications, exposing more points at which designs need to be tested as well as weaknesses in current tools and methodologies. The cornerstone of the [getkc id="76" kc_name="IoT"], and connected devices such as self-driving cars, is a heavy reliance on [getkc id="187" kc_name="sensors"... » read more

Executive Insight: Aart de Geus


Aart de Geus, chairman and co-CEO of Synopsys, sat down with Semiconductor Engineering to discuss Moore's Law, the IoT, inflection points and how chip design will evolve in coming years. SE: We are in the middle of possibly one of the biggest transition points we’ve ever seen in this industry. How do you envision things shaking out? De Geus: There is no question that there is an enormou... » read more

Rethinking The Sensor


Sensor technology is beginning to change on a fundamental level as companies begin looking beyond a human’s five senses, on which early sensors were modeled, to what can be done with those sensors for specific applications. In some cases, [getkc id="187" kc_name="sensors"] don’t have to be as accurate as the sight, smell, touch, taste and hearing of a person. In others, they can be a... » read more

Big Data Meets Chip Design


The amount of data being handled in chip design is growing significantly at each new node, prompting chipmakers to begin using some of the same concepts, technologies and algorithms used in data centers at companies such as Google, Facebook and GE. While the total data sizes in chip design are still relatively small compared with cloud operations—terabytes per year versus petabytes and exa... » read more

Cadence CDNLive Keynote Address: Thoughts and Implications


I attended the Cadence CDNLive conference at the Santa Clara Convention Center on April 5 and 6 and had a chance to listen to four very thought-provoking presentations given by the speakers. These presentations were combined to follow the keynote address given by Cadence CEO, Lip-Bu Tan and addressed several different aspects of the current semiconductor industry landscape. Speakers Lip-... » read more

The Next Big Challenge


In his keynote speech at the Synopsys User Group last month, company chairman and co-CEO Aart de Geus defined IoT as the Internet of Threats. As interviews across the semiconductor industry have revealed over the past 12 months, his comment was very much on target. As more things are connected—and that includes everything from watches to toasters to cars to buildings within a city—securi... » read more

Pain Points At 7nm


Early work has begun on 7nm. Process technology has progressed to the point where IP and tools are being qualified. There is still a long way to go. But as companies begin engaging with foundries on this process node—[getentity id="22586" comment="TSMC"] is talking publicly about it, but [getentity id="22846" e_name="Intel"], [getentity id="22819" comment="GlobalFoundries"] and [getentity ... » read more

System Bits: March 15


Drilling into metabolic details with big data In a development that may help researchers find new therapeutic targets for cancer and other diseases, Rice University researchers have created a fast computational method to model tissue-specific metabolic pathways. The team explained that metabolic pathways are immense networks of biochemical reactions that keep organisms functioning and are a... » read more

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