Displaying 3 results from an estimated 3 matches for "v_b".
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2006 Oct 24
1
Variance Component/ICC Confidence Intervals via Bootstrap or Jackknife
I'm using the lme function in nmle to estimate the variance components
of a fully nested two-level model:
Y_ijk = mu + a_i + b_j(i) + e_k(j(i))
lme computes estimates of the variances for a, b, and e, call them v_a,
v_b, and v_e, and I can use the intervals function to get confidence
intervals. My understanding is that these intervals are probably not
that robust plus I need intervals on the intraclass correlation
coefficients:
v_a/(v_a + v_b + v_e)
and
(v_a + v_b)/(v_a + v_b + v_e).
I would like to use a boot...
2019 Jun 10
2
[RFC] Expose user provided vector function for auto-vectorization.
...ase mentioned earlier:
float MyAdd(float* a, int b) { return *a + b; }
__declspec(vector_variant(implements(MyAdd(float *a, int b)),
linear(a), vectorlength(8),
nomask, processor(core_2nd_gen_avx)))
__m256 __regcall MyAddVec(float* v_a, __m128i v_b1, __m128i v_b2)
If FE emitted
;; Alwaysinline
define <8 x float> @MyAddVec.abi_wrapper(float* %v_a, <8 x i32> %v_b) {
;; Not sure about the exact values in the mask parameter.
%v_b1 = shufflevector <8 x i32> %v_b, <8 x i32> undef, <4 x i32><i32 0, i32 1, i32 2...
2019 Jun 10
2
[RFC] Expose user provided vector function for auto-vectorization.
...;
> float MyAdd(float* a, int b) { return *a + b; }
> __declspec(vector_variant(implements(MyAdd(float *a, int b)),
> linear(a), vectorlength(8),
> nomask, processor(core_2nd_gen_avx)))
> __m256 __regcall MyAddVec(float* v_a, __m128i v_b1, __m128i v_b2)
>
> We need somehow communicate which lanes of widened "b" would map for the b1 parameter and which would go to the b2. If we only care about single ABI (like the one mandated by the OMP) than such things could be put to TTI, but what about other ABIs? Should we enco...