test case, respectively. Test cases are written in Fortran, but are supple-mented with assertion statements. These statements are expanded by the unit testing framework into Fortran conditional expressions that collect test successes and failures. The framework reports failed test units and summary statistics (Listing 3.1).
Depending on your machine’s configuration running the full test suite (above) can take from a few minutes to a couple hours. Note that currently we do not have a mechanism for automatically running the test suite on batch computer systems except to obtain an interactive compute node (via the batch system) and run the tests on that node (this assumes that the compilers are available on the ...

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CORAL: Collaboration of ORNL, ANL, LLNL Leadership Computers - RFP requests >100 PF, 2 GiB/core main memory, local NVRAM, and science performance 4x-8x Titan or Sequoia ...
Firmware Test Suite (FWTS) is a test suite that performs sanity checks on firmware. It is intended to identify BIOS, UEFI, ACPI and many other errors. Дата регистрации: май 2017 г.

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To run an existing unittest-style test suite using pytest, type By running your test suite with pytest you can make use of several features, in most cases without having to modify existing code
PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It employs the MPI standard for parallelism.

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• Integrated NCSAbench test suite – Benchmarks and application kernels proven to be useful and relevant – Used to test and evaluate systems • HPL has repeatedly been invaluable for this on multiple systems • Used single node and cluster wide to help identify problems – Support for procurements and development of acceptance tests
PETSc¶ PETSc, pronounced PET-see (the S is silent), is a suite of data structures and routines for the scalable (parallel) solution of scientific applications modeled by partial differential equations. It supports MPI, and GPUs through CUDA or OpenCL, as well as hybrid MPI-GPU parallelism.

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