The Automation Of AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Delivering Superior Throughput For EDA Verification Workloads


Perhaps no industry is more competitive than modern electronics manufacturing and chip design. As consumers, we take it for granted that electronic devices continue to get faster, cheaper, and more capable with each generation. From smart watches to industrial controls to electronic heart-rate monitors, electronics manufacturers are challenged to build smarter, more complex devices leveraging s... » read more

Blog Review: Mar. 27


Rambus' Steven Woo takes a look at the memory requirements of neural networks and why some companies are using on-chip memory while others are using HBM2 or GDDR6. Cadence's Lana Chan  observes growing momentum for NVMe and highlights some new features in the latest specification that are pushing mainstream adoption forward. Mentor's Matthew Ballance contends that when it comes to adopti... » read more

Data-Driven Verification Begins


Semiconductor Engineering sat down to discuss data-driven verification with Yoshi Watanabe, senior software architect at Cadence; Hanan Moller, systems architect at UltraSoC; Mark Conklin, principal verification engineer at Arm; and Hao Chen, senior design engineer at Intel. What follows are excerpts of that conversation, which was conducted in front of a live audience at DVCon. (L-R) Yosh... » read more

Gaps In 5G Test


Add one more industry to the long list that analysts expect 5G technology to disrupt—test. While the initial versions of this wireless technology will be little more than a faster version of 4G, concern is growing about exactly how to test the second phase of this technology, which will be based upon millimeter wave. A number of fundamental problems need to be addressed. Among them: T... » read more

Blog Review: Mar. 20


Cadence's Paul McLellan argues that rapid improvements in the performance of general-purpose computing led to a lack of innovation in domain-specific architectures, but as scaling slows, they're entering a new golden age. In a video, Mentor's Colin Walls takes a look at the use of floating point in an embedded application and some of the pitfalls associated with it. Synopsys' Taylor Armer... » read more

The Growing Challenge Of Thermal Guard-Banding


Guard-banding for heat is becoming more difficult as chips are used across a variety of new and existing applications, forcing chipmakers to architect their way through increasingly complex interactions. Chips are designed to operate at certain temperatures, and it is common practice to develop designs with some margin to ensure correct functionality and performance throughout the operat... » read more

Week In Review: Design, Low Power


M&A Nvidia will acquire Mellanox for $6.9 billion in cash, the largest deal in the chipmaker's history. Traditionally a PC GPU company, Nvidia has made a push into high-performance computing, particularly for AI workloads. Founded in 1999, Israel-based Mellanox focuses on end-to-end Ethernet and InfiniBand interconnect solutions and services for servers and storage. According to Nvidia, Me... » read more

Using Less Power At The Same Node


Going to the next node has been the most effective way to reduce power, but that is no longer true or desirable for a growing percentage of the semiconductor industry. So the big question now is how to reduce power while maintaining the same node size. After understanding how the power is used, both chip designers and fabs have techniques available to reduce power consumption. Fabs are makin... » read more

IC Test: Doing It At The Right Place At The Right Time


In the real world, we are slaves to our environment. The decisions we make are dependent on the resources available at any given time. In school, I remember coming up with a binary decision diagram (BDD) variable-ordering algorithm that relied on partial BDDs. Was that the best algorithm to determine the variable ordering of a BDD for a design? Probably not. However, it was easy to do as a coll... » read more

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