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VectorAdd
- 一个简单的基于CUDA的示例代码，使用SIMD的方法实现向量加法；运行在nVidia的G80系列显卡的GPGPU上；需要nVidia CUDA SDK，169以上版本的驱动。对于学习CUDA很有帮助。
SIMD_Source
- 检查当前处理器可用的SIMD指令的类型，希望对各位有用-Detect the types of SIMD instructions available on the processor.
ADSP_2126x_HRM
- High performance 32-bit/40-bit floating-point processor Code compatibility—at assembly level, uses the same instruction set as other SHARC DSPs Single-instruction multiple-data (SIMD) computational architecture— two 32-bit IEEE floating-point
smaller_and_faster_intel_sse_code
- Codes exhibiting suitable data-flow parallelism can often profit from using Intel SSE, a SIMD extension to the CISC style In-tel 64 instruction set architecture. As SSE instructions are, on average, larger than scalar instructions, they exhibit a
generic_simd-master
- Compiler Optimization。是一种通用SIMD库，可用G++命令引入库-Compiler Optimization. It is a generic library!
matrix
- 采用SIMD指令优化大矩阵相乘的速度，经测试，执行速度提高了1.5倍。代码采用汇编内联的形式。-Optimizing the use of SIMD instructions speed matrix multiplication, tested, execution speed increased 1.5-fold. Code using inline assembler form.
add
- 利用SIMD指令实现四拍并行计算，主要是SSE，SSE2-using SIMD languanges make the calc more fast,more is SSE,SSE2
SIMD
- 一些并行程序的例子，主要为SIMD编程,对学习SIMD编程的初学者很有帮助-Some examples of parallel programs, mainly for SIMD programming