Chip Industry’s Technical Paper Roundup: Apr. 25

Quantum light source goes fully on-chip; neuromorphic computing based on SNNs; RISC-V GPUs; data-centric parallelism and chiplets; rowhammer; hyperscale HW; graphene; CAN bus security; critical dimension small-angle X-ray scattering.


New technical papers recently added to Semiconductor Engineering’s library:

Technical Paper Research Organizations
Quantum light source goes fully on-chip, bringing scalability to the quantum cloud Leibniz University Hannover, University of Twente and QuiX Quantum
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware Purdue University, Pennsylvania State University, and Yale University
Skybox: Open-Source Graphic Rendering on Programmable RISC-V GPUs Georgia Tech, California Polytechnic State University-San Luis Obispo
Massive Data-Centric Parallelism in the Chiplet Era Princeton University
Fundamentally Understanding and Solving RowHammer ETH Zurich
Hyperscale Hardware Optimized Neural Architecture Search Google, Apple, and Waymo
Putting High-Index Cu on the Map for High-Yield, Dry-Transferred CVD Graphene University of Cambridge, RWTH Aachen University, and National Institute for Materials Science
EdgeTDC: On the Security of Time Difference of Arrival Measurements in CAN Bus Systems ETH Zurich and CISPA Helmholtz Center for Information Security
Review of the key milestones in the development of critical dimension small angle x-ray scattering at National Institute of Standards and Technology NIST

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