HW-Enabled Security Techniques To Improve Platform Security And Data Protection For Cloud Data Centers And Edge Computing (NIST)


A technical paper titled "Hardware-Enabled Security: Enabling a Layered Approach to Platform Security for Cloud and Edge Computing Use Cases" was published by NIST, Intel, AMD, Arm, IBM, Cisco and Scarfone Cybersecurity. Abstract: "In today’s cloud data centers and edge computing, attack surfaces have shifted and, in some cases, significantly increased. At the same time, hacking has becom... » read more

Zone-ECU Virtualization Solution Platform


The high complexity of future vehicle systems will need to move away from today’s distributed automotive E/E architecture towards a more centralized E/E structure based on less but much more powerful ECUs, instead of many individual control entities. A Zone-oriented architecture moves the integration of numerous functions and services into one ECU. The resulting network concept must deal w... » read more

Hardware-Enabled Security: Container Platform Security Prototype


Date Published: June 2021, NIST Author(s) Michael Bartock (NIST), Murugiah Souppaya (NIST), Jerry Wheeler (Intel), Tim Knoll (Intel), Uttam Shetty (Intel), Ryan Savino (Intel), Joseprabu Inbaraj (AMI), Stefano Righi (AMI), Karen Scarfone (Scarfone Cybersecurity) Abstract In today’s cloud data centers and edge computing, attack surfaces have significantly increased, hacking ha... » read more

Improving Power & Performance Beyond Scaling


Steven Woo, Rambus fellow and distinguished inventor, discusses architectural changes inside of servers and data centers to allow pooling of resources such as memory. That has a big impact on power efficiency and overall performance, but it also allows data centers to customize their architectures and prioritized resources with much more granularity than they can do today. » read more

Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud


SOURCE: Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang(Tsinghua University, Beijing, China).  Published on arXiv:2003.12101 [cs.DC])   ABSTRACT: "FPGAs have shown great potential in providing low-latency and energy-efficient solutions for deep neural network (DNN) inference applications. Currently, the majority of FPGA-based DNN accel... » read more

Virtualizing FPGAs For Multiple Cloud Users


Cloud computing has become the new computing paradigm. For cloud computing, virtualization is necessary to enable isolation between users, high flexibility and scalability, high security, and maximized utilization of hardware resources. Since 2017, because of the advantages of programmability, low latency, and high energy efficiency, FPGA has been widely adopted into cloud computing. Amazon ... » read more

Virtualization In The Car


As the automotive industry grapples with complexity due to electrification and increasing autonomy of vehicles, consolidation of ECUs within vehicles, more stringent safety and security requirements, automotive ecosystem players are looking to virtualization concepts in a number of ways to realize the vehicles of tomorrow. One way is with hardware virtualization; the ability of a device such... » read more

PowerPR Virtualization: A Critical Feature For Automotive GPUs


What is GPU virtualization? Conceptually, virtualization is the capability of a device to host one or more virtual machines (VMs) that each behave like actual independent machines with their own operating system (OS), all running on the same underlying device hardware. In regard to GPUs, this means the capability to support multiple concurrently running operating systems, each capable of submit... » read more

Ensuring A 5G Design Is Viable


Ron Squiers, network solutions specialist at Mentor, a Siemens Business, explains what’s different in 5G chips versus 4G, how to construct a front haul and back haul system so it is testable in the network stack. » read more

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

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