December 2018 - Page 3 of 12 - Semiconductor Engineering

Verification Throughput Is Set To Increase By Leaps And Bounds In 2019
By Frank Schirrmeister - 20 Dec, 2018 - Comments: 0

In June 2015, I wrote the blog “Towards A Metric To Measure Verification Computing Efficiency” that introduced what we now refer to here at Cadence as the “productivity wheel” for verification payloads—the sequence of “build”, “allocate”, “run” and “debug” that is repeated thousands of times during a project. It was meant to set up the launch of the Palladium Z1 platfo... » read more

Deep Learning Hardware: FPGA vs. GPU
By Farhad Fallahlalehzari - 20 Dec, 2018 - Comments: 0

FPGAs or GPUs, that is the question. Since the popularity of using machine learning algorithms to extract and process the information from raw data, it has been a race between FPGA and GPU vendors to offer a HW platform that runs computationally intensive machine learning algorithms fast and efficiently. As Deep Learning has driven most of the advanced machine learning applications, it is r... » read more

Debug Tops Verification Tasks
By Ann Mutschler - 20 Dec, 2018 - Comments: 0

Verification engineers are spending an increased percentage of their time in debug — 44%, according to a recent survey by the Wilson Research Group. There are a variety or reasons for this, including the fact that some SoCs are composed of hundreds of internally developed and externally purchased IP blocks and subsystems. New system architectures contribute to the mix, some of which are be... » read more

Compute And AI In Next-Generation SSD Designs
By Mike Thompson - 20 Dec, 2018 - Comments: 0

Over the last 40 years digital storage has advanced at an amazing rate. Because it operates out of sight digital storage tends to be taken for granted, but today there is more storage capacity in the devices in our pockets than what existed in mainframe computers 30 years ago. With the rise of artificial intelligence (AI) this trend will continue and the results will be nothing less than astoun... » read more

AI Market Ramps Everywhere
By Brian Bailey - 20 Dec, 2018 - Comments: 0

Artificial Intelligence (AI) has inspired the general populace, but its rapid rise over the past few years has given many people pause. From realistic concerns about robots taking over jobs to sci-fi scares about robots more intelligent than humans building ever smarter robots themselves, AI inspires plenty of angst. Within the technology industry, we have a better understanding about the pote... » read more

More Than A Core
By Ann Mutschler - 20 Dec, 2018 - Comments: 0

Gajinder Pandesar, CTO of UltraSoC, talks with Semiconductor Engineering about why heterogeneous design is changing the starting point for chip design, and why integration is now the real challenge rather than the processor core. https://youtu.be/y0rzopp5HDI » read more

The Fibonacci Calculator
By Sergio Marchese - 20 Dec, 2018 - Comments: 0

The holiday season is all about traditions, and the annual holiday puzzle has become a tradition here at OneSpin. Two years ago, we challenged engineers everywhere to solve the famous Einstein’s Riddle using a formal tool. We received some interesting solutions. Last year, we drew an even bigger response to our invitation to tackle the “World’s Hardest Sudoku.” These puzzles are fun, of... » read more

Improving Library Characterization with Machine Learning
By Mentor, a Siemens Business - 19 Dec, 2018 - Comments: 0

Efficient and accurate library characterization is a critical step in full-chip or block-level design flows because it ensures that all library elements perform to specification under all intended operating conditions. However, traditional library characterization and validation have become increasingly expensive in terms of computation and engineering effort, due to complexity and the amount o... » read more

Enabling Embedded Vision Neural Network DSPs
By Cadence - 19 Dec, 2018 - Comments: 0

Neural networks are now being developed in a variety of technology segments in the embedded market, from mobile to surveillance to the automotive segment. The computational and power requirements to process this data is increasing, with new methods to approach deep learning challenges emerging every day. Vision processing systems must be designed holistically, for all platforms, with hardwa... » read more

The Rise and Fall of Synthesis Bugs in Safety-Critical FPGAs
By OneSpin Solutions - 19 Dec, 2018 - Comments: 0

For standards IEC 61508 / ISO 26262 / EN 50128 / DO-254. FPGAs are the dominant hardware platform in low-volume, safety-critical applications, including aerospace, and nuclear power plants. Modern FPGAs allow for the implementation of high performance designs with integrated safety mechanisms. This is driving adoption in additional industries, including automotive. Functional safety standard... » read more

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