Abstract: With the development of earth observation technologies and the construction of earth observation systems, an increasing amount of remote sensing data are being obtained. These provide the ...

This project benchmarks XGBoost and PyTorch models for binary classification across serial CPU, parallel CPU, and GPU setups. Parallel XGBoost achieved the fastest training time without loss in ...

Abstract: Processing-in-Memory (PIM) is an emerging computing paradigm exploiting a cutting-edge memory device (PIM device) that integrates hundreds to thousands of processing units with the memory ...

This JHU Data Services 90 minute course introduces students to the tools in ArcGIS Pro. Learn how to work with spatial data and get an introduction to the most often used geospatial analytic tools.

Have you ever noticed how Chrome can sometimes feel a bit sluggish when you open multiple tabs or windows? Google is working on adding a new feature designed to make Chrome’s startup and overall ...

Today large amount of satellite imagery and geospatial data collected from different sources is available at free of cost. Satellite imagery combined with power of Geographic information System can be ...

We’ve been watching Julia, an HPC-oriented programming language designed for technical and scientific computing for a number of years to see it can make inroads into supercomputing. This week we were ...

The A Guide to Small-Scale Fish Processing Using Local Kitchen Facilities brochure is an overview of what a fish producer thinking about small-scale fish processing needs to know. The overview ...

In this paper, design of 32-bit parallel multiplier is presented, by introducing Carry Save Adder (CSA) in partial product lines. The multiplier given in this paper is modeled using VHDL (Very High ...

Concurrency is hard. This library doesn't aim to make it easy, but it will hopefully make it a little less painful. The best source of reference is the GoDocs for this library. Noted below are parts ...