RISC-V Vectorization And Potential for HPC


A new technical paper titled "Test-driving RISC-V Vector hardware for HPC" was published by researchers at University of Edinburgh. Abstract: "Whilst the RISC-V Vector extension (RVV) has been ratified, at the time of writing both hardware implementations and open source software support are still limited for vectorisation on RISC-V. This is important because vectorisation is crucial to obt... » read more

Overview Of EV Charging Infrastructure, The Role of Power Electronics, And Charging Technologies


A technical paper titled "Charging Infrastructure and Grid Integration for Electromobility" was published by researchers at Universidad de los Andes, University of Cambridge, Duke University, Universidad Técnica Federico Santa Maria, University of Toronto, TU Delft, and University of Florence. Abstract "Electric vehicle (EV) charging infrastructure will play a critical role in decarbonizat... » 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

CAN Bus Security Using TDCs (ETH Zurich & CISPA Helmholtz Center)


A technical paper titled "EdgeTDC: On the Security of Time Difference of Arrival Measurements in CAN Bus Systems" was published by researchers at ETH Zurich and CISPA Helmholtz Center for Information Security. Abstract "A Controller Area Network (CAN bus) is a message- based protocol for intra-vehicle communication designed mainly with robustness and safety in mind. In real-world deployment... » read more

Hyperscale HW Optimized Neural Architecture Search (Google)


A new technical paper titled "Hyperscale Hardware Optimized Neural Architecture Search" was published by researchers at Google, Apple, and Waymo. "This paper introduces the first Hyperscale Hardware Optimized Neural Architecture Search (H2O-NAS) to automatically design accurate and performant machine learning models tailored to the underlying hardware architecture. H2O-NAS consists of three ... » read more

Optimizing The Growth And Transfer Process of Graphene (Cambridge, RWTH Aachen)


A technical paper titled "Putting High-Index Cu on the Map for High-Yield, Dry-Transferred CVD Graphene" was published by researchers at University of Cambridge, RWTH Aachen University, and National Institute for Materials Science. Abstract: "Reliable, clean transfer and interfacing of 2D material layers are technologically as important as their growth. Bringing both together remains a ch... » 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

Quantum Light Source Fully Integrated On A Chip


A new technical paper titled "Quantum light source goes fully on-chip, bringing scalability to the quantum cloud" was published by researchers at Leibniz University Hannover, University of Twente and QuiX Quantum. Abstract: "Integrated photonics has recently become a leading platform for the realization and processing of optical entangled quantum states in compact, robust and scalable chip ... » 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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