Results 151 to 160 of about 46,626 (281)
Abstract Targeting the issues of insufficient predictive ability and inefficient computation in two‐dimensional shallow water equations (2D‐SWEs), this study deeply couples the mesh and hydrodynamic boundary, constructing multiple 2D hydrodynamic models (run 2,640 times).
Hong Chen +4 more
wiley +1 more source
Differentiable River Routing for End‐to‐End Learning of Hydrological Processes
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet +3 more
wiley +1 more source
Instruction-level parallelism for low-power embedded processors
Jean-Michel Puiatti
openalex +2 more sources
ABSTRACT The advent of AM engendered unprecedented control over materials distribution, spurring interest in multi‐material fabrication. Among AM techniques, powder bed fusion—laser beam (PBF‐LB) stands out, although it requires adaptation for multi‐material printing.
Vito Errico +3 more
wiley +1 more source
An Epsilon‐Near‐Zero‐Based Nonlinear Platform for Ultrafast Re‐Writable Holography
We show that an unstructured, sub‐wavelength thick epsilon‐near‐zero material, such as ITO, can be efficiently used for ultrafast re‐writable holography over a broad bandwidth range. We showcase two powerful applications of our scheme, that is, spatial structuring of light and optical computation.
M. Zahirul Alam +5 more
wiley +1 more source
Recent efforts of memristor array‐based hardware neuromorphic computing are discussed for efficient application of VMM on‐chip level in terms of circuit integration and actual application of AI algorithms. The parallel data processing principle of VMM operation is briefly reviewed, and hardware VMM is presented including convolutional transformation ...
Jingon Jang, Sang‐gyun Gi
wiley +1 more source
Application-Specific Pipelines for Exploiting Instruction-Level Parallelism
Bruce R. Childers, Jack W. Davidson
openalex +1 more source
CODE OPTIMIZATION OF POLYNOMIAL APPROXIMATION FUNCTIONS ON CLUSTERED INSTRUCTION-LEVEL PARALLELISM PROCESSORS [PDF]
Mei Yang +3 more
openalex +1 more source
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Radiation schemes are critical components of Earth system models that need to be both efficient and accurate. Despite the use of approximations such as 1D radiative transfer, radiation can account for a large share of the runtime of expensive climate ...
Peter Ukkonen, Robin J. Hogan
doaj +1 more source

