Is it possible to use SSE for bit manipulations on data that is not byte-aligned?For example, I would like to do implement this using SSE:
There already is a question on this, but it was closed as \"ambiguous\" so I\'m opening a new one - I\'ve found the answer, maybe it will help others too.
I have an inner loop such as this for(i=0 ;i<n;i++){ x[0] += A[i] * z[0]; x[1] += A[i] * z[1]; x[2] += A[i] * 开发者_StackOverflow社区z[2];
I\'m wondering why the following code with SSE2 instructions performs the multiplication slower than the standard C++ implementation.
I came about a rather weird problem today. I have a math library optimized for SSE, therefore almost all functionality is declared as inline. For simplification purposes I will only explain the proble
I want to use a version of the well known MIT bitcount algorithm to count neighbors in Conway\'s game of life using SSE2 instructions.
I need to program some stuff in SSE2 assembler. All I see though are intrinsics. I\'ve been looking in vain for a translation table from intrinsics to assembler.
Parameter passing in Visual Studio.Note how __m128 types are passed. Does it mean that no more than 4 __m128 arguments should be passed by value.
I have this snippet of code: @combinerows: mov esi,eax and edi,Row1Mask and ebx,Row2Mask or ebx,edi //NewQ:= (Row1 and Row1Mask) or (Row2 and Row2Mask);
Is it possible to use the new SSE registers from Visual Studio 2010 inline assembler? If so, how and what else conditions must be satisfied? I don\'t know for example if new registers are av开发者_JAV