Researchers from Boston University, Northeastern University, KAIST, and University of Murcia, et al. have released “FHECore: ...
Researchers from Stanford University and University of California, Santa Cruz have released “Heterogeneous Memory Design ...
End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia ...
EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better ...
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While ...
Kalinagaswamy: Both have their own challenges. Scale-up may have hundreds of GPUs or accelerators, and they have to work in a ...
Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor ...
The industry’s response is to split compute, memory, and I/O across dies, XPU chiplets are pushing toward the reticle limit, ...
Cadence’s Mick Posner introduces the Foundational Chiplet System Architecture, a specification that aims to deliver a vendor ...
As packaging complexity rises, the industry faces gaps in data, inspection, and process integration.
This eBook details 40 essential PCB design tips, organized by 5 sections: Project Planning, Requirements, and Documentation Placement, Floorplanning, and Mechanical Integration Power, Grounding and ...
A new technical paper, “Extreme optical nonlinearities unveiled by ultrafast laser filamentation in semiconductors,” was ...
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