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Found 4 papers, 2 papers with code
Higgs Boson Classification: Brain-inspired BCPNN Learning with StreamBrain
One of the most promising approaches for data analysis and exploration of large data sets is Machine Learning techniques that are inspired by brain models.
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs
The modern deep learning method based on backpropagation has surged in popularity and has been used in multiple domains and application areas.
Automated classification of plasma regions using 3D particle energy distributions
We investigate the properties of the ion sky maps produced by the Dual Ion Spectrometers (DIS) from the Fast Plasma Investigation (FPI).
Characterizing Deep-Learning I/O Workloads in TensorFlow
To measure TensorFlow I/O performance, we first design a micro-benchmark to measure TensorFlow reads, and then use a TensorFlow mini-application based on AlexNet to measure the performance cost of I/O and checkpointing in TensorFlow.
Distributed, Parallel, and Cluster Computing
