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Home Page: https://raygon-renderer.github.io/thermite/
License: Apache License 2.0
Thermite SIMD: Melt your CPU
Home Page: https://raygon-renderer.github.io/thermite/
License: Apache License 2.0
If NEON support is not planned then repository and project description should be updated, reflecting the x86-only goals.
It would be great to have some optimized BLAS-like kernels for vector/matrix operations, both SoA and AoS styles.
These can use 128-bit registers even on AVX/AVX2, and 256-bit registers on AVX512
Currently fully implemented for single and double-precision:
sin
, cos
, tan
, asin
, acos
, atan
, atan2
, sinh
, cosh
, tanh
, asinh
, acosh
, atanh
, exp
, exp2
, exph
(0.5 * exp
), exp10
, exp_m1
, cbrt
, powf
, ln
, ln_1p
, ln2
, ln10
, erf
, erfinv
, tgamma
, lgamma
, next_float
, prev_float
Precision-agnostic implementations: lerp
, scale
, fmod
, powi
(single and vector exponents), poly
, poly_f
, poly_rational
, summation_f
, product_f
, smoothstep
, smootherstep
, smootheststep
, hermite
(single and vector degrees), jacobi
, legendre
, bessel_y
lgamma
where possible.
ln(tgamma(x))
when we know it won't overflow?sin(x*ฯ)
, etc.)1 - (1 - x)
is the trick.Size
policy, especially when WASM support is added (both scalar and SIMD)A declarative, efficient, and flexible JavaScript library for building user interfaces.
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