mp-blas

Mixed-precision Basic Linear Algebra Subroutines. mp-blas composes two header-only libraries — MTL5 for linear algebra and Universal for parameterized number systems — to develop and benchmark mixed-precision BLAS kernels under custom arithmetic (half precision, bfloat16, posits, quire super-accumulators, ...).

MTL5 deliberately has no dependency on Universal: it is the general linear-algebra layer. mp-blas is the integration layer where MTL5's kernels meet Universal's number types.

# Dependencies (MTL5 + Universal) are pulled automatically via FetchContent.
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j

# Run the smoke tests
ctest --test-dir build --output-on-failure

# Run the dot-product accumulation demo (optional arg: vector length)
./build/applications/level1/dot_precision/dot_precision

Using local checkouts instead of fetching from GitHub:

cmake -B build \
  -DFETCHCONTENT_SOURCE_DIR_MTL5=../mtl5 \
  -DFETCHCONTENT_SOURCE_DIR_UNIVERSAL=../universal

The repo is organized by BLAS level: level 1 vector-vector operations (axpy, dot, nrm2, scal), level 2 matrix-vector operations (gemv, trsv, ger), and level 3 matrix-matrix operations (gemm, trsm, syrk).

applications/
  level1/dot_precision/   # dot-product accumulation error across precisions
include/sw/mp_blas/       # shared composition-layer headers
tests/
  level1/                 # axpy + dot smoke test across number types
  level2/                 # gemv smoke test
  level3/                 # gemm smoke test
docs/roadmap.md           # milestones and known integration work

MIT — see LICENSE.