addp | Advanced Device Discovery Protocol library for Python | TCP library

Try this, you may need to play about with the variables.

You've assigned this.props.data to state.data on constructor. The state.data will not be changed when this.props.data is changed.

So you should use props data directly in render() to reflect store change immediately.

You're using vmovdqa instruction, which requires an aligned memory operand, on an unaligned element of the array. Use vmovdqu instead, for both loads and stores. Or better yet, use memory operands in the actual computation instructions (this is only valid in AVX though; in legacy SSE memory operands of most instructions must be aligned).

There are other inefficiencies and problems with the assembler block. For instance, as mentioned in the comments, you're missing the clobbers, which indicate pieces of CPU and memory state that may be modified by the asm block. In your case, you're missing "memory", "xmm0" and "xmm1" clobbers. Without these, the compiler will assume that the asm block does not affect memory contents (the aResult array in particular) or the xmm registers (and, for example, use these registers for its own purposes in conflict with your asm block).

Also, you seem to have messed up the input and output registers in addps and divps instructions as you are overwriting or not using results of the previous instructions in a few instances. In AT&T x86 asm syntax used by gcc, the last operand is the output operand. You should normally use the AVX version of every instruction when using any AVX instructions, although mixing 128-bit AVX instructions with legacy SSE won't cause SSE/AVX transition stalls if the upper halves of YMM registers were already clean (e.g. vzeroupper). Use vaddps / vdivps is optional but recommended.

Also, you're passing references to the input and output arrays inefficiently. Instead of passing pointers to the specific elements of the arrays it is more efficient to pass memory references to those, which allows the compiler to use more elaborate memory referencing arguments than a plain pointer. This removes the need to calculate the pointer in a separate instruction before your asm block. Also, it is more efficient to pass the tree constant in an xmm register instead of memory. Ideally, you would want to move vbroadcastss out of the loop, but that is only possible with support for intrinsics. (Or writing the loop inside one asm statement.)

The corrected and improved asm statement would look like this:

Your code is working fine. For the print body, you should have to use bodyParser in express js.

You are returning queryset from this line, So you cannot access 'wardno'.

Wrong to compare mingw 32bit and mingw 64bit binary, so when compiled with newest mingw-w64 all calling-conventions became as expected.

You can just use layer, that you already created in your template:

"inventing writes" is usually disallowed, and can create nasty compiler bugs. (Because of thread safety, e.g. stepping on writes from another thread).

Even though it's part of a union object, GCC internals probably treat that last element as separate and aren't willing to write it with "garbage". So yes, this is a missed optimization that you'll have to work around manually.

In general SIMD vectors are not well suited to holding 3D geometry vectors. Ideally you can structure your data so you can have a __m128 x of four x coordinates, and another __m128 y of four y coordinates, etc. Then you can do 4 vector additions in 3 addps instructions. Even better, doing 4 vector lengths or other operations that use x, y, and z from the same vector together doesn't involve any shuffling.

See https://stackoverflow.com/tags/sse/info for links, especially Slides: SIMD at Insomniac Games (GDC 2015) which goes into more detail about using SIMD efficiently, among other things.

But sure, if you've already done that for the cases where you can lay out your data differently, there might still be other cases where you only have a couple individual vectors and need "float3" layouts, and can still use SIMD to speed that up some, too.

You need to declare sse_ubuntu_tuple_add as extern "C":