Advanced Packaging For Automotive Chips


Multiple types of chips may be better than one for dealing with large amounts and different types of data, but in automotive applications it's not entirely clear how or even whether they should be packaged together. The biggest problem with electronics in vehicles is the extreme range of temperatures, both within and outside of vehicles. Without adequate cooling, chips can age prematurely, s... » read more

Will Markets For ML Models Materialize?


Developers are spending increasing amounts of time and effort in creating machine-learning (ML) models for use in a wide variety of applications. While this will continue as the market matures, at some point some of these efforts might be seen as reinventing models over and over. Will developers of successful models ever have a marketplace in which they can sell those models as IP to other d... » read more

Importance Of Programmability In Next-Generation Security Appliances


Traditional methods of deploying network security through software-based firewalls do not scale because the latency and bandwidth requirements cannot be addressed. The flexibility and configurability of Xilinx adaptive devices combined with IP and tool offerings significantly improves security processing performance. This white paper explores multiple firewall architectures, which include so... » read more

Gaps In The AI Debug Process


When an AI algorithm is deployed in the field and gives an unexpected result, it's often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error? These are often not simple questions to answer. Moreover, as with all verification problems, the only way to get to the root cause is to break the problem down into manageable pieces. The semico... » read more

Week In Review: Design, Low Power


Tools Imperas Software released updated simulator and reference models that support the latest RISC-V extensions for Bit Manipulation 1.0.0, Cryptographic (Scalar) 1.0.0, and Vector 1.0, plus Privilege Specification 1.12. They are offered both as freely available, open-source reference models for the RISC-V community as well as commercial products. Ansys' multiphysics signoff solutions were... » read more

AKER: A Design and Verification Framework for Safe and Secure SoC Access Control


Abstract: "Modern systems on a chip (SoCs) utilize heterogeneous architectures where multiple IP cores have concurrent access to on-chip shared resources. In security-critical applications, IP cores have different privilege levels for accessing shared resources, which must be regulated by an access control system. AKER is a design and verification framework for SoC access control. AKER builds ... » read more

Week In Review: Design, Low Power


Infineon reported fourth quarter 2021 financial results with revenue of €3.0 billion (~$3.4 billion), up 21% compared to the same quarter last year. For the full year, revenue was €11.1 billion (~$12.7 billion), an increase of 29% from the previous year. "In light of the continued high demand for semiconductors needed for the energy-efficient, connected world, we expect the 2022 fiscal year... » read more

What Is An xPU?


Almost every day there is an announcement about a new processor architecture, and it is given a three-letter acronym — TPU, IPU, NPU. But what really distinguishes them? Are there really that many unique processor architectures, or is something else happening? In 2018, John L. Hennessy and David A. Patterson delivered the Turing lecture entitled, "A New Golden Age for Computer Architecture... » read more

Solving Real World AI Productization Challenges With Adaptive Computing


The field of artificial intelligence (AI) moves swiftly, with the pace of innovation only accelerating. While the software industry has been successful in deploying AI in production, the hardware industry – including automotive, industrial, and smart retail – is still in its infancy in terms of AI productization. Major gaps still exist that hinder AI algorithm proof-of-concepts (PoC) from b... » read more

Improving Medical Image Processing With AI


Machine learning is being integrated with medical image processing, one of the most useful technologies for medical diagnosis and surgery, greatly expanding the amount of useful information that can be gleaned from scan or MRI. For the most part, ML is being used to augment manual processes that medical personnel use today. While the goal is to automate many of these functions, it's not clea... » read more

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