Kuratius

Results 35 issues of Kuratius

https://github.com/Kuratius/sm64/commit/ace0e206ebab999da123168f7ff2dec482f34351 I tried implementing hardware accelerated fdiv and sqrtf functions, I also tried writing an fmul implementation that should be somewhat faster than the default. There's also a rounding implementation...

It's possibly to compute a good approximation to the cosine of a number using a single float multiplication and 1 integer multiplication. The implementation from this video for example https://www.youtube.com/watch?v=hffgNRfL1XY...

Related to #57 . Please let me know if you need tests of these functions or things like NaN, subnormal number, or overflow handling. These also don't include rounding. Ideally...

## Feature Request ### What feature are you suggesting? #### Overview: ![image](https://github.com/devkitPro/libnds/assets/47481645/8d06c5ac-9d7b-4519-ae68-436d630ca142) https://datasheets.raspberrypi.com/pico/raspberry-pi-pico-c-sdk.pdf This seems to suggest that gcc's soft float emulation implementation is not very fast, and could be...

## Feature Request ### What feature are you suggesting? #### Overview: Adding a fast integer sine/cosine without LUTs to libnds http://www.coranac.com/2009/07/sines/ #### Smaller Details: This can most likely be modified...

## Bug Report ### What's the issue you encountered? I tried to use an arm assembly function written using custom instructions only avaible on the arm9 core of the dsi...

There are users with an earlier timestamp, same region and same model that have later dates than certain others. Is this a data entry error or are there subregions other...

The calculation of the gradient is missing the derivative of the sigmoid function for the outer layer and the weights of the hidden layer were updated in a way that...

The RP2040 has a hardware divider https://raspberrypi.github.io/pico-sdk-doxygen/group__hardware__divider.html , I'm curious if this is currently supported and used by default. Even if it isn't, it's probably possible to just import the...

![image](https://github.com/melonDS-emu/melonDS/assets/47481645/f1dedc04-0f92-4bb6-bc6b-509dfc1a9d42) [SqrtBench.zip](https://github.com/melonDS-emu/melonDS/files/15287024/SqrtBench.zip) Expectation would be that the test either passes or fails on both, but the correct percentage is different.