Author: Julia Nedzelskaya
GPU utilization with neural networks
Abstract
Nowadays GPUs are widely used for neural networks training and inference. It’s clear that GPUs are faster than CPU, but how much and do they do their best on such tasks. In this article we’re testing performance of the …
Playing with cuda block size
Recently I was working on algorithm implementation using NVIDIA CUDA. For testing reasons I was using a tiny-toy data sample to check whether the algorithm worked as expected. I was concentrated on what I was doing, not on how it …
HW selection benchmark for deep learning
Our company is doing active research in the area of deep learning. To be a bit more specific – we are building very wide embedding layers. We need to be able to perform an interactive research and we need to …
Power of comparison
Our technology is based on the comparison of data segments. We are capable of detecting a similarity degree of the data from different servers, from different buildings, etc.
Our main objective is anomaly detection. In other words, we are looking …
Participation in Kenshoo data hackathon
Some time ago we got an offer from Shlomi Hassan to join Kenshoo hackathon (http://kenshoo.com/data-hackathon/). The idea of hackathon was to try to perform a kind of user value prediction based on history of events.
It has to …
What is an interesting segmentation?
Let’s consider a situation when you have a new data set. You bought it, got it from some external source of yours, etc. The important fact is that this is a new dataset, and you are not familiar with it. …