Solving Memory Mapping Issues with Deep RL (Google)


A technical paper titled "Optimizing Memory Mapping Using Deep Reinforcement Learning" was published by Google DeepMind and Google. Abstract: "Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these problems often has significant impact on resource and time savings, red... » read more

Performance Of Analog In-Memory Computing On Imaging Problems


A technical paper titled "Accelerating AI Using Next-Generation Hardware: Possibilities and Challenges With Analog In-Memory Computing" was published by researchers at Lund University and Ericsson Research. Abstract "Future generations of computing systems need to continue increasing processing speed and energy efficiency in order to meet the growing workload requirements under stringent en... » read more

28nm-HKMG-Based FeFET Devices For Synaptic Applications


A technical paper titled "28 nm high-k-metal gate ferroelectric field effect transistors based synapses- A comprehensive overview" was published by researchers at Fraunhofer-Institut für Photonische Mikrosysteme IPMS, Indian Institute of Technology Madras, and GlobalFoundries. Abstract This invited article we present a comprehensive overview of 28 nm high-k-metal gate-based ferroelectric f... » read more

Hexagonal Boron Nitride Memristors With Nickel Electrodes: Current Conduction Mechanisms & Resistive Switching Behavior (RWTH Aachen)


A new technical paper titled "Resistive Switching and Current Conduction Mechanisms in Hexagonal Boron Nitride Threshold Memristors with Nickel Electrodes" was published by researchers at RWTH Aachen University and Peter Gruenberg Institute. Abstract: "The 2D insulating material hexagonal boron nitride (h-BN) has attracted much attention as the active medium in memristive devices due to i... » read more

Attestation Scheme Monitoring The Prover Using Hardware Security Module Connected To Its System Bus (Oxford)


A technical paper titled "Hardware-assisted remote attestation design for critical embedded systems" was published by researchers at University of Oxford. Abstract (excerpt) "To reveal attack scenarios exploiting the memory regions and time windows left unattested, we propose an attestation scheme that can continuously monitor both static and dynamic memory regions with better spatial and t... » read more

Information flow policies for NVM Technologies


A new technical paper titled "Automated Information Flow Analysis for Integrated Computing-in-Memory Modules" was published by researchers at RWTH Aachen University. Abstract: "Novel non-volatile memory (NVM) technologies offer high-speed and high-density data storage. In addition, they overcome the von Neumann bottleneck by enabling computing-in-memory (CIM). Various computer architectures... » read more

Data-Centric Reconfigurable Array Chiplets (Princeton)


A technical paper titled "Massive Data-Centric Parallelism in the Chiplet Era" was published by researchers at Princeton University. Abstract: "Traditionally, massively parallel applications are executed on distributed systems, where computing nodes are distant enough that the parallelization schemes must minimize communication and synchronization to achieve scalability. Mapping communica... » read more

CDSAXS Milestones And Future Growth of X-ray-Based Metrology for 3D Nanostructures Important To Chip Industry


A new technical paper titled "Review of the key milestones in the development of critical dimension small angle x-ray scattering at National Institute of Standards and Technology." Abstract: "An x-ray scattering based metrology was conceived over 20 years ago as part of a collaboration between National Institute of Standards and Technology (NIST) and International Business Machines Corporat... » read more

State of the Art And Future Directions of Rowhammer (ETH Zurich)


A new technical paper titled "Fundamentally Understanding and Solving RowHammer" was published by researchers at ETH Zurich. Abstract "We provide an overview of recent developments and future directions in the RowHammer vulnerability that plagues modern DRAM (Dynamic Random Memory Access) chips, which are used in almost all computing systems as main memory. RowHammer is the phenomenon in... » read more

Spiking Neural Networks: Hardware & Algorithm Developments


A new technical paper titled "Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware" was published by researchers at Purdue University, Pennsylvania State University, and Yale University. Excerpt from Abstract: "In this article, we outline several strides that neuromorphic computing based on spiking neural networks (SNNs) has taken over the recent past, a... » read more

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