Mixed-precision DL inference; CXL memory pooling; processing-using-DRAM; Apple CPU vulnerabilities; pager and walkie-talkie attacks; ultranarrow semiconductor WS2 nanoribbon FETs; line width roughness; indium nitrate resists.
New technical papers recently added to Semiconductor Engineering’s library:
| Technical Paper | Research Organizations |
|---|---|
| Controlling Speckle Contrast Using Existing Lithographic Scanner Knobs to Explore the Impact on Line Width Roughness | Samsung, ASML and Sungkyunkwan University |
| StruM: Structured Mixed Precision for Efficient Deep Learning Hardware Codesign | Intel |
| Octopus: Scalable Low-Cost CXL Memory Pooling | University of Washington, Microsoft Azure and Columbia University |
| Proteus: Achieving High-Performance Processing-Using-DRAM via Dynamic Precision Bit-Serial Arithmetic | ETH Zurich, Cambridge University, Universidad de Córdoba, Univ. of Illinois Urbana-Champaign and NVIDIA Research |
| Apple CPU Vulnerabilities-two papers: 1) FLOP: Breaking the Apple M3 CPU via False Load Output Predictions and 2) SLAP: Data Speculation Attacks via Load Address Prediction on Apple Silicon |
Georgia Tech and Ruhr University Bochum |
| When Everyday Devices Become Weapons: A Closer Look at the Pager and Walkie-talkie Attacks | University of Florida |
| Ultranarrow Semiconductor WS2 Nanoribbon Field-Effect Transistors | Chalmers University of Technology |
| Sensitivity and contrast of indium nitrate hydrate resist evaluated by low-energy electron beam and extreme ultraviolet exposure | UT Dallas |
Find all technical papers here.
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