NIMD: A Write Once SIMD Library for Nim wrapping libsimdpp.

NIMD supports a large part of libsimdpp. See its docs: libsimdpp docs

NIMD allows you to use SIMD vectorization without the need for specific intrinsics.

Courtesy of libsimdpp:

On architectures that support different SIMD instruction sets the library allows the same source code files to be compiled for each SIMD instruction set and then hooked into an internal or third-party dynamic dispatch mechanism. This allows the capabilities of the processor to be queried on runtime and the most efficient implementation to be selected.

import nimd

var  x = Vector(1.float32, 2, 3, 4)
let 
  y = Vector(4.float32, 3, 2, 1)
  z = x * y / x # standard ops
x[3]=9 #insertion
echo z # float32x4[4.0, 3.0, 2.0, 1.0]
echo x # float32x4[1.0, 2.0, 3.0, 9.0]
echo y.min(x) # float32x4[1.0, 2.0, 2.0, 1.0]

nimble install https://github.com/CircArgs/nimd.git

You will also need libsimdpp (As of this writing NIMD works with f7ab03f). Clone it somewhere git clone https://github.com/p12tic/libsimdpp.git. Lets call the absolute path to libsimdpp: MY_LIBSIMDPP_PATH.

We can build projects derivative of NIMD by using the following nim compiler flags:

• cpp: use the c++ backend
• -t:-I$MY_LIBSIMDPP_PATH: a NIMD compile-time flag to state where libsimdpp is located

Note: you could also add these to a config.nims

nim cpp -t:"-I/home/nick/Projects/testnimd/libsimdpp" -r src/testnimd.nim

NIMD supports the following vector types