My paper titled “kNN-STUFF: kNN STreaming Unit for Fpgas” was accepted in IEEE Access. Abstract: This paper presents kNN STreaming Unit For Fpgas (kNN-STUFF), a modular, scalable and efficient Hardware/Software implementation of k-Nearest Neighbors (kNN) classifier targeting System on Chip Read more…
My paper titled “A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories” was accepted in VLSI-SoC’19 to be held in Cusco, Peru, from October 6th to October 9th. Abstract: The need for executing complex Machine Learning Read more…
At the invitation of Professor Koen Bertels, I came to TUDelft, in The Netherlands, to investigate the mapping and routing of quantum algorithms in quantum chips. I thank Professor Koen for this fantastic opportunity!
Here’s something to think about. Yet, another empiric evidence of what some world leaders still refuse to admit. This is the legacy that we will leave for our sons and daughters. [Go to article]
At the invitation of Professor Shahar Kvatinsky, I came to Technion in Haifa, Israel to realize a qualitative comparison of my previous work to accelerate convolutional layers of CNNs with dedicated hardware accelerators developed in his lab. I thank Professor Read more…
I was invited to come to the University of Utah to perform research on ReRAM-based architectures and accelerators to speedup artificial intelligence appliances.
On September 26th, I have finished my 5-year integrated master program. I have presented my dissertation and obtained the classification of 19/20. You can find a summary of my master thesis here. Also, here goes a small video about my Read more…
In September 2018, I have attended, for the first time, an international conference in my field. I presented the paper Exploiting Compute Caches for Memory Bound Vector Operations, which was the result of all the hard work of my master Read more…