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A Bifrost plug-in for the Tensor-Core Correlator.

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btcc

A Bifrost wrapper for the Tensor-Core Correlator.

Compiling BTCC

To build BTCC:

  1. Install appropriate dependancies
    1. Bifrost (https://github.com/telegraphic/bifrost)
    2. Tensor-Core Correlator (https://git.astron.nl/RD/tensor-core-correlator)
    3. Meson build system (https://github.com/mesonbuild/meson)
  2. Setup your build environment (on topaz, run source setup_env.sh).
  3. Ensure correct paths to dependancies are setup in meson.build
  4. Compile with meson by running:
meson setup build
cd build
meson compile

There are several conditional compliation constants included in btcc.cu:

  • DCP_DEBUG: enables full debugging output
  • NO_CHECKS: removes all sanity checks
  • TIME_CORR: write all correlation times (ms) to cuda_results.csv

Using BTCC in Python

from btcc import Btcc

tcc = Btcc()
tcc.init(nbits, ntime, nchan, nant, npol)
tcc.execute(tcc_input, tcc_output, True)

See validate.py, benchmark.py and eda.py for example usages of BTCC.

Example Performance (Tesla V100) Example correlation matrix Example image