26 citations · 26 across the 1 of their papers we have counts for
3 papers
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…
A Foray into Efficient Mapping of Algorithms to Hardware Platforms on Heterogeneous Systems
Oren Segal, Nasibeh Nasiri, Martin Margala
Heterogeneous computing can potentially offer significant performance and performance per watt improvements over homogeneous computing, but the question "what is the ideal mapping…
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…