5 papers
Physics-Informed Conformal Prediction: Embedding PDE Consistency into Distribution-Free Uncertainty Quantification for Neural Operators
Michael Chin
Neural operators such as the Fourier Neural Operator (FNO) achieve remarkable accuracy in approximating solutions to partial differential equations (PDEs). However, providing rigor…
Performance Verification of the AmpereOne CPU Core
Doa'a Al-Otoom, Nicholas Kelly, Aaron Lindsay +16
As process technology scaling slows, microarchitectural innovation has become the primary driver of performance gains, making pre-silicon Performance Verification (PV) more critica…
Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation
Michael Chin
Neural operators such as the Fourier Neural Operator (FNO) have emerged as powerful surrogates for solving partial differential equations (PDEs), achieving speedups of several orde…
RFSoC Based LLRF System Design at ALS
Qiang Du, Shreeharshini Murthy, Victoria Moore +5
The Advanced Light Source (ALS) at LBNL is upgrading several LLRF systems for its Linac and Sub-Harmonic Bunchers, where it is desired to have a unified LLRF system design to suppo…
Comparative Evaluation of Xilinx RFSoC Platform for Low-Level RF Systems
Shreeharshini Dharanesh Murthy, Victoria Moore, Qiang Du +5
The rapid advancement of Radio Frequency System-onChip (RFSoC) technology from Xilinx (AMD) has enabled the integration of high-speed data converters and programmable logic within…