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Ran 23 Jul 2017 04:25PM UTC

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Committed 23 Jul 2017 07:45AM UTC coverage: 65.201%. Remained the same

Job # 276.2

Build Type

push

travis-ci

Committed by

benbarsdell

Commit Message

Add fast kernels for correlation and beamforming

- Adds custom kernels for particular cases of bfMatMul that
  significantly improve performance for these use-cases.
- The correlation kernel (a version of Cherk) is based on xGPU,
  and also includes a diagonal block optimization for improved
  performance at small N.
- The beamformer kernel (a version of Cgemm) uses a warp-sum
  approach and is optimized for small numbers of beams (<= ~12).
  It also supports mixed data/weights precisions (e.g., ci8 data and
  fp32 weights).
- Adds back-end plumbing to support batched linear algebra kernels.
- Modifies the matmul interface to allow either the lhs or rhs of
  symmetric products to be specified.
- Adds new tests for these kernels and fixes some old tests.

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2773 of 4253 relevant lines covered (65.2%)

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