convolution; digital signal processing chips; embedded systems; floating point arithmetic; image resolution; interpolation; multiprocessing systems; 2D convolution; FDFIR; HPEC system; Nvidia GeForce 295 GTX GPU; Nvidia Tesla C2050 GPU; TI C6678 multicore DSP; TMS320C6678; Texas Instruments; bilinear interpolation; computational demand; computer speed 128 GFLOPS; computer speed 32 GFLOPS; corner turn; digital signal processors; double-precision performance; eight-core high-performance DSP; floating-point capabilities; frequency-domain finite impulse response; high-definition image resolution; high-performance embedded computing system; image rotation; image-processing applications; image-processing kernel optimization; power 10 W; power efficiency; quadcore Intel Xeon W3520 CPU; real-time performance; signal-processing applications; signal-processing kernel evaluation; Computer architecture; Convolution; Digital signal processing; Interpolation; Kernel; Optimization; Random access memory;
机译:在TI C6678多核DSP上优化卷积神经网络
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机译:TI C6678多核DSP上的图像和信号处理核的优化与评估
机译:多核DSP上基于软件的超声相位旋转波束成形。
机译:选择性激光熔化(SLM)制备的Ti-6Al-4V多孔结构的拓扑优化设计可制造性和性能评估的研究
机译:基于TI-C6678多核DSP的高速数据交互优化方案
机译:spaceCubeX:评估混合多核CpU FpGa Dsp架构的框架。