The compiler optimizes 1.0f/sqrtf(x) into rsqrtf() only when this does not violate IEEE-754 semantics. Awareness of how instructions are executed often permits low-level optimizations that can be useful, especially in code that is run frequently (the so-called hot spot in a program). The first is the compute capability, and the second is the version number of the CUDA Runtime and CUDA Driver APIs. Is it possible to create a concave light? Code that uses the warp shuffle operation, for example, must be compiled with -arch=sm_30 (or higher compute capability). This access pattern results in four 32-byte transactions, indicated by the red rectangles. By simply increasing this parameter (without modifying the kernel), it is possible to effectively reduce the occupancy of the kernel and measure its effect on performance. If x is the coordinate and N is the number of texels for a one-dimensional texture, then with clamp, x is replaced by 0 if x < 0 and by 1-1/N if 1

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