Some applications are so inherently complicated that it is difficult to dig through the many layers of connected algorithms to expose the parts of the code ripe for optimization. This makes them a ...

A new framework called Falcon, developed by Unnikrishnan Cheramangalath, is revolutionizing graph analytics. This ...

I had great fun writing neural network software in the 90s, and I have been anxious to try creating some using TensorFlow. Google’s machine intelligence framework is the new hotness right now. And ...

Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

In this paper, the authors present a novel technique for the mapping of set of DSP applications onto architectures targeting an ASIC/Reconfigurable implementation embedded on the same chip. Synthesis ...

State of the art systems that need to be aware of an environment must relying on sensors, radar, LIDAR, cameras and specialized computing in order to make sense of a chaotic world. Underneath all of ...

Scott Reeves demonstrates the flow graph feature of the Wireshark tool, which can help you check connections between client server, finding timeouts, re-transmitted frames, or dropped connections. I ...

This is a preview. Log in through your library . Abstract The signal flow graph has been shown to be a useful device for displaying and analyzing discrete state ...