Convolutional Neural Network With INT4 Optimization
By Xilinx - 01 Dec, 2020 - Comments: 0

Xilinx provides an INT8 AI inference accelerator on Xilinx hardware platforms — Deep Learning Processor Unit (XDPU). However, in some resource-limited, high-performance and low-latency scenarios (such as the resource-power-sensitive edge side and low-latency ADAS scenario), low bit quantization of neural networks is required to achieve lower power consumption and higher performance than provi... » read more

Versal: The First Adaptive Compute Acceleration Platform (ACAP)
By Xilinx - 01 Dec, 2020 - Comments: 0

Recent technical challenges have forced the industry to explore options beyond the conventional “one size fits all” CPU scalar processing solution. Very large vector processing (DSP, GPU) solves some problems, but it runs into traditional scaling challenges due to inflexible, inefficient memory bandwidth usage. Traditional FPGA solutions provide programmable memory hierarchy, but the tradit... » read more

The Best Platform When It Comes To PTP Accuracy
By Xilinx - 01 Dec, 2020 - Comments: 0

Synchronization is pervasive in most industry sectors, including finance, telecom, industrial, consumer, and aerospace and defense. All of these markets have several applications that rely on synchronization. The first part of this white paper describes a few typical examples where synchronization enables applications that would not be possible otherwise. Synchronization can be achieved with... » read more

Xilinx Reduces Risk And Increases Efficiency For IEC61508 And ISO26262 Certified Safety Applications
By Xilinx - 01 Dec, 2020 - Comments: 0

This white paper introduces key dependability aspects for industrial and automotive customers who are designing and developing programmable electronic equipment for safety applications using Xilinx FPGA and SoC devices. The main focus of this white paper is to explain how to create solutions with highly integrated, high-performance certifiable systems that target IEC 61508 / ISO 26262 norms. Th... » read more

Manufacturing Bits: Dec. 1
By Mark LaPedus - 01 Dec, 2020 - Comments: 0

New phase-change materials The National Institute of Standards and Technology (NIST) has developed an open source machine learning algorithm for use in discovering and developing new materials. NIST’s technology, called CAMEO, has already been used by researchers to discover a new phase-change memory material. CAMEO, which stands for Closed-Loop Autonomous System for Materials Exploration... » read more

Power/Performance Bits: Dec. 1
By Jesse Allen - 01 Dec, 2020 - Comments: 0

Self-erasing chip Researchers from the University of Michigan developed self-erasing chips that could be used to prevent counterfeiting or detect tampering. The technology is based on a new material that temporarily stores energy, changing the color of the light it emits. It self-erases in a matter of days, or it can be erased on demand. "It's very hard to detect whether a device has been t... » read more

MPU Vs. MCU
By Bryon Moyer - 01 Dec, 2020 - Comments: 1

There was a time when microprocessors and microcontrollers were distinct devices. There was never a question as to which one you were dealing with. But changes in the memory architecture have muddied the distinction in modern devices. There are a number of ways in which microprocessors and microcontrollers could possibly be differentiated. But there is no universal agreement as to how that s... » read more

Silicon Lifecycle Management
By Ed Sperling - 30 Nov, 2020 - Comments: 0

How do you track, measure and ensure reliability over the lifetime of a chip, regardless of how or where it is used? Steve Pateras, senior director of marketing for test products at Synopsys, drills down into the impact of hardware-software co-design, over-the-air updates, the expected lifetime of designs, and how the various monitors and sensors are used to track environmental, structural and ... » read more

Forward And Backward Compatibility In IC Designs
By Ann Mutschler - 30 Nov, 2020 - Comments: 0

Future-proofing of designs is becoming more difficult due to the accelerating pace of innovation in architectures, end markets, and technologies such as AI and machine learning. Traditional approaches for maintaining market share and analyzing what should be in the next rev of a product are falling by the wayside. They are being replaced by best-guesses about market trends and a need to bala... » read more

Verification Convergence: Problem Definition
By Hagai Arbel - 30 Nov, 2020 - Comments: 0

A while ago, I had to go to the ER with my friend who suddenly had a numb feeling in his face. He felt okay (and everything else is okay with him), but better be safe than sorry. While the doctor examined him I noticed that before tracing the problem itself, she asked some questions to rule-out a problem she was already familiar with and that can manifest itself in similar ways. Only then, a... » read more

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