Assuming I am really pressed for memory and want a smaller range (similar to short vs int). Shader languages already support half for a floating-point type with half the precision (not just convert...

On CPU's with AVX-512 and BF16 support, you can use the 512 bit vector registers to store 32 16 bit floats. I have found intrinsics to convert FP32 values to BF16 values (for example: _mm512_cvtne2...

I know that in my ARM FEAT_FP16 is supported. I expect seeing fp16 in the list of features reported by cat /proc/cpuinfo: $ cat /proc/cpuinfo | grep fp | sort -u Features : fp asimd evtstrm aes pmu...

The __fp16 floating point data-type is a well known extension to the C standard used notably on ARM processors. I would like to run the IEEE version of them on my x86_64 processor. While I know the...

I am trying to determine at compile time that _Float16 is supported: #define __STDC_WANT_IEC_60559_TYPES_EXT__ #include <float.h> #ifdef FLT16_MAX _Float16 f16; #endif Invocations: # gcc tru...

I wonder why operating on Float64 values is faster than operating on Float16: julia> rnd64 = rand(Float64, 1000); julia> rnd16 = rand(Float16, 1000); julia> @benchmark rnd64.^2 Benchmark...

It's clear why a 16-bit floating-point format has started seeing use for machine learning; it reduces the cost of storage and computation, and neural networks turn out to be surprisingly insensitiv...

Sample code: #include <stdio.h> #define __STDC_WANT_IEC_60559_TYPES_EXT__ #include <float.h> #ifdef FLT16_MAX _Float16 f16; int main(void) { printf("%f\n", f16); return 0; ...

Question float16 can be used in numpy but not in Tensorflow 2.4.1 causing the error. Is float16 available only when running on an instance with GPU with 16 bit support? Mixed precision Today, most...

Is it possible to perform half-precision floating-point arithmetic on Intel chips? I know how to load/store/convert half-precision floating-point numbers [1] but I do not know how to add/multiply ...