Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.
Twisted graphene heterostructures detect temperature with 99% accuracy, reduce thermal image errors by 46%, and execute logic ...
Researchers at Lawrence Livermore National Laboratory (LLNL) have optimized and 3D-printed helix structures as optical ...
Usage examples are provided in the HPCsharpExamples directory, which has a VisualStudio 2022 solution. Build and run it to see performance gains on your computer or a cloud node. To get the maximum ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...
$ flang-new -fopenmp FT_OMP_Intrinsic_01_.f90; ./a.out fatal Fortran runtime error(/work/home/ohno/CT/test/fort/tp/reproducerJ/Metro/HCL_2019_636_647_01/FT_OMP ...
Abstract: A novel parallel calibration method was proposed and verified for phased arrays, by modulating phase shifters of multiple channels with multiple periods. After periodic phase modulation, the ...
Abstract: Parallel transmission (pTX) techniques are required to tackle a number of challenges, e.g., the inhomogeneous distribution of the transmit field and elevated specific absorption rate (SAR), ...
Solar panel systems are essential technologies helping engineers to harness solar energy. However, given that solar panel systems are quite easy to assemble, one might assume that the wiring of solar ...
Hardware neural network (HNN) based on analog synapse array excels in accelerating parallel computations. To implement an energy-efficient HNN with high accuracy, high-precision synaptic devices and ...
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