The power of data analytics
NVIDIA Jetson TX2, a 64-bit arm board equipped with 256 CUDA cores (Pascal architecture), has arrived at the home during the holiday season. I was so lucky having the board together with the development kit for only 300 Eur, including the shipping fee (from UK to NL) due to the educational discount (the normal price … Read moreGPU Inference at Edge: NVIDIA Jetson TX-2
Inspired by the benchmark from Matt Dowle (https://h2oai.github.io/db-benchmark/), I compared his benchmark with GPU (Detail: https://lnkd.in/e7iHg7N). For processing big data, GPU K20 2 GB is slightly better than 20 cores CPU Xeon 2.6 GHz 125.8 GB RAM, even much better in some tests 🙂 Of course, the performance comes with a price. Thanks to Omnisci … Read moreCPU vs. GPU
I think one of the promising technology in the next couple of years is the use of GPU for accelerating any kinds of job. One of the company follows the direction is OmniSci (formerly MapD). They have a live demo showing how fast GPU processes almost 400 million tweets and visualizes them geographically in less … Read moreGPU Database
Imagine we want to recognize/identify an object in the images streamed from camera feeds (such as to recognize thief/suspect at the immigration checkpoint, airports, stations, etc.). To do that, the convolutional neural network (CNN) is currently the most used method. Such popular CNN architectures such as LeNet, AlexNet, VGG, GoogLeNet, ResNet, YOLO, etc. could be … Read moreCombining neural network and GPU in Google Cloud Platform