Task parallelism spawn/sync - “Function call” that may be scheduled on another hardware threads - Intel TBB (Threads Building Blocks), OpenMP Tasks (since 3.0) - Use-cases - Anywhere you want a parallel parallelism - Data-driven task parallelism - OpenMP Tasks with depends “in”, “out”, “inout” clauses - Intel TBB Flowgraph - Use-cases: expressing precise data dependencies (beyond barriers) For example: frame

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support is really surprisingly fast for a square root cal­ culation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support is really surprisingly fast for a square root cal­ culation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation

C compilers also support additional floating-point types beyond the common float32 and float64. Intel x86 compatible CPUs generally support float80 math operations, and the GCC C compiler may support which is really surprisingly fast for a square root calculation. The concrete value is for a modern Intel I7 CPU. Of course, these 1.7 nanoseconds are not only the time needed for the square root calculation