Lines Matching refs:run

13 libCEED provides fast algebra for element-based discretizations, designed for performance portability, run-time flexibility, and clean embedding in higher level libraries and applications.
92 libCEED can be built for WASM using [Emscripten](https://emscripten.org). For example, one can build the library and run a standalone WASM executable using
132 The test suite produces [TAP](https://testanything.org) output and is run by:
197 To use, run your code with Valgrind and the Memcheck backends, e.g. `valgrind ./build/ex1 -ceed /cpu/self/ref/memcheck`.
199 This backend can be run in serial or blocked mode and defaults to running in the serial mode if `/cpu/self/memcheck` is selected at runtime.
237 To build the examples, set the `MFEM_DIR`, `PETSC_DIR` (and optionally `PETSC_ARCH`), and `NEK5K_DIR` variables and run:
330 A sequence of benchmarks for all enabled backends can be run using:
344 Using the `benchmarks` target runs a comprehensive set of benchmarks which may take some time to run.
345 Subsets of the benchmarks can be run using the scripts in the `benchmarks` folder.
351 To install libCEED, run:
363 To build and install in separate steps, run:
373 To install libCEED for Python, run: