(Artificially) Intelligent Verification


Functional verification produces a lot of data, , but does that make it suitable for Artificial Intelligence (AI) or Machine Learning (ML)? Experts weigh in about where and how AI can help and what the industry could do to improve the benefits. "It's not necessarily the quantity," says Harry Foster, chief scientist for verification at Mentor, a Siemens Business. "It's the quality that matter... » read more

What’s So Important About Processor Extensibility?


While the ability to extend a processor is nothing new, market dynamics are forcing a growing percentage of the industry to consider it a necessary part of their product innovation. From small IoT functions to massive data centers and artificial intelligence, the need to create an optimized processing platform is often the only way to get more performance or lower power out of the silicon area ... » read more

FPGA Prototyping Complexity Rising


Multi-FPGA prototyping of ASIC and SoC designs allows verification teams to achieve the highest clock rates among emulation techniques, but setting up the design for prototyping is complicated and challenging. This is where machine learning and other new approaches are beginning to help. The underlying problem is that designs are becoming so large and complex that they have to be partitioned... » read more

What Will The Next-Gen Verification Flow Look Like?


Semiconductor Engineering sat down to discuss what's ahead for verification with Daniel Schostak, Arm fellow and verification architect; Ty Garibay, vice president of hardware engineering at Mythic; Balachandran Rajendran, CTO at Dell EMC; Saad Godil, director of applied deep learning research at Nvidia; and Nasr Ullah, senior director of performance architecture at SiFive. What follows are exc... » read more

Key Drivers In New Chip Industry Outlook


How well the semiconductor industry fares over the next 12 to 24 months depends upon the evolution of a virus. That alone will determine the correct model for an economic rebound — V, U, extended U, or maybe even a double U. But what's also becoming clear is those models don't apply uniformly to all sectors or sub-sectors of the semiconductor industry. Looked at as a whole, the entire indu... » read more

The Murky World Of AI Benchmarks


AI startup companies have been emerging at breakneck speed for the past few years, all the while touting TOPS benchmark data. But what does it really mean and does a TOPS number apply across every application? Answer: It depends on a variety of factors. Historically, every class of design has used some kind of standard benchmark for both product development and positioning. For example, SPEC... » read more

Inevitable Bugs


Are bug escapes inevitable? That was the fundamental question that Oski Technology recently put to a group of industry experts. The participants are primarily simulation experts who, in many cases, help direct the verification directions for some of the largest systems companies. In order to promote free discussion, all comments have been anonymized, distilling the primary thoughts of the parti... » read more

Practical Processor Verification


Custom processors are making a resurgence, spurred on by the early success of the RISC-V ISA and the ecosystem that is rapidly building around it. But this shift is amid questions about whether processor verification has become a lost art. Years ago custom processors were common. But as the market consolidated around a handful of companies, so did the tools and expertise needed to develop th... » read more

Using Processor Trace At The System Level


The race to process more data faster using less power is creating a series of debug challenges at the system level, where developers need to be able to trace interactions across multiple and often heterogeneous processing elements that may function independently of each other. In general, trace is a hardware debug feature that allows the run-time behavior of IP to be monitored. More specific... » read more

Re-Imagining The GPU


John Rayfield, CTO at Imagination Technologies, sat down with Semiconductor Engineering to talk about RISC-V, AI, and computing architectures. What follows are excerpts of that conversation. SE: What your plans are for RISC-V? Rayfield: We're actively finalizing the integration of RISC-V cores into future-generation GPUs. That work has been going on for several months. Moving forward, we'... » read more

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