BLA(S) definition
Examples of BLA(S) in a sentence
SB confirms that once the milestone of Acceptance of all BLAS necessary for commercialization of BEXXAR for the [*] in TERRITORY A has been achieved, SB's * Confidential Treatment Requested purchase obligation shall not be affected, and any stock purchased by SIB as a result of such milestone shall not become redeemable and its investment shall not otherwise be refunded, [*], or is approved for an indication which is [*].
It is found that although the rounding error properties of this algorithm are less favorable than for conventional matrix multiplication, the algorithm is still useful as a Level 3 BLAS routine in many circumstances [13, 17] As we shall see in §3.1, ▇▇▇▇▇▇▇▇’s matrix inversion algorithm is funda- mentally unstable.
ENGL 101 Reading & Composition BLAS 155 Afro-American Literature CHIC 135 Chicano Literature ENGL 105 Composition and Literature ENGL 208 Introduction to Literature ENGL 210 American Literature l ENGL 211 American Literature II ENGL 220 Masterpieces of World Literature l ENGL 221 Masterpieces of World Lit.
This routine relies on BLAS, an optimized linear algebra library.
OpenMPI Mpich Mvapich 2 slurm nVidia CUDA toolkit 8.0 (minimum) LAPACK and BLAS packages Software compatibility must be ensured.
SB confirms that once the milestone of Acceptance of all BLAS necessary for commercialization of BEXXAR for the [*] in TERRITORY A has been achieved, SB's purchase obligation shall not be affected, and any stock purchased by SIB as a result of such milestone shall not become redeemable and its investment shall not otherwise be refunded, [*].
By default JLAPACK [37] is used, but MTJ can be configured to use native BLAS and LAPACK libraries (such as ATLAS [126]).
Because almost all element-by-element operations and BLAS routines can be split into asynchronous tasks, Parallel Colt uses the cached thread pool for low-level concurrency.
The BLAS library is a commonly used linear algebra library that has been highly optimised for different CPU architectures including ARM.
This library is based on BLAS [17] and LAPACK [8] for dense and structured sparse computations and on Templates [13] for unstructured sparse computations.