26 citations · 52 across the 3 of their papers we have counts for
4 papers
AutoML for Multilayer Perceptron and FPGA Co-design
Philip Colangelo, Oren Segal, Alex Speicher +1
State-of-the-art Neural Network Architectures (NNAs) are challenging to design and implement efficiently in hardware. In the past couple of years, this has led to an explosion in r…
Evolutionary Cell Aided Design for Neural Network Architectures
Philip Colangelo, Oren Segal, Alexander Speicher +1
Mathematical theory shows us that multilayer feedforward Artificial Neural Networks(ANNs) are universal function approximators, capable of approximating any measurable function to…
Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs
Philip Colangelo, Nasibeh Nasiri, Asit Mishra +3
CNNs have been shown to maintain reasonable classification accuracy when quantized to lower precisions. Quantizing to sub 8-bit activations and weights can result in accuracy falli…
SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters
Oren Segal, Philip Colangelo, Nasibeh Nasiri +2
We introduce SparkCL, an open source unified programming framework based on Java, OpenCL and the Apache Spark framework. The motivation behind this work is to bring unconventional…