![]() This can be an expensive operation if there are many rows returned by any exact Sequentially scanning through the rows that have been located via any exact matchĬriteria. The given field must be greater than or equal to the from dateĪnd less than or equal to the to date. Index directly into the dataset, which should make this search fairly “cheap” from aĭate range search. Case sensitivityĬan be specified using the case_sensitive argument. The given field must match the value exactly. There are currently two forms of search criteria:Įxact match search. Match for rows to be returned if any fields don’t match, no rows are returned. This function returns the rows that match the provided condition(s). The key-value pairs indicate a field to search mapped to a value to search in that field. Searches an enrichment table for rows that match theįor file enrichment tables this condition needs to be a VRL object in which Vector vrl -help to see more information. The vector vrl command has many other capabilities, run the command using The REPL behaves nearly identical to the programs you write for your VectorĬonfiguration, and can be used to test individual snippets of complex programsīefore you commit them to your production configuration. VRL REPLĪdditionally, if vector vrl is run without any arguments, it will spawn a REPLĪssuming you have Vector installed, you can run vector vrl to start the REPL.įrom there, you can type help and press return to get further help. Matches how VRL will receive the input in a running Vector instance. The belowĮxamples show pretty-printed JSON for the input events, so collapse these to single lines whenįor example: vector vrl -input input.json -program program.vrl -print-object. and -program (VRL program) to pass in theĮxample input and program as well as -print-object to show the modified object. You can run these examples using the vector vrl subcommand with -input (input is newlineĭelimited JSON file representing a list of events). TheseĮxamples demonstrate the breadth of the language and its observability-focused Our work serves as a proof of concept for the capacity of the real-space approach in efficiently parallelizing very large calculations using high-performance computer platforms, which can straightforwardly be replicated in other systems with more than 10 5 atoms.Here you’ll find a comprehensive list of all VRL program examples. The band gap is enlarged due to quantum confinement in nanoclusters, but decreases as the system size increases, as expected. ![]() Our quantitative analysis of the electronic structure shows how it gradually approaches its bulk counterpart as a function of nanocluster size. For the largest system, we utilized 2048 nodes (114 688 cores) on the Frontera machine in the Texas Advanced Computing Center. Our approach uses Chebyshev-filtered subspace iteration to speed up the convergence of the eigenspace, and blockwise Hilbert space-filling curves to speed up sparse matrix-vector multiplications, all of which are implemented in the parsec code. ![]() Within Kohn-Sham density functional theory and using pseudopotentials, we report the self-consistent field convergence of a system with over 100 000 atoms: a Si 107, 641 H 9, 084 nanocluster with a diameter of 16 nm. Using a real-space high-order finite-difference approach, we investigate the electronic structure of large spherical silicon nanoclusters.
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