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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