Guide To Learn
Let’s set some simple objectives for our data analysis exercise. This should be challenging enough to require data decomposition and communication in parallel mode, but simple enough to not get bogged down in the details of math or statistics. To that end, I’d like to know To find the answers, we’ll need our program to […]
The complete source code for the weather buoy exercise is available on GitHub at https://github.com/modern-fortran/weather-buoys. If you use git, clone it directly from the command line: Otherwise, you can download it as a zip file from http://mng.bz/aRVo. The CSV data files are located in the weather-buoys/data directory. I encourage you to explore the data files from your […]
The dataset that we’ll use in this exercise consists of hourly measurements of several weather, ocean, and wave parameters, recorded by buoys managed by the NOAA National Data Buoy Center (NDBC). One such buoy is shown in figure 7.2. Figure 7.2 A weather and wave buoy operated by the NDBC. Instruments that measure wind, temperature, […]
For a gentle entry into parallel programming, we’ll process and analyze a real-world weather buoy dataset. This is a miniature example of the big data challenge: how to process a large amount of data that may be too big to fit into memory, or may take too long to process sequentially. The crux of the […]
The way the processor industry is going, is to add more and more cores, but nobody knows how to program those things. I mean, two, yeah; four, not really; eight, forget it. –Steve Jobs (2008) You may be asking, Why write parallel programs? It seems like an unnecessary complication. In general, you’ll want to write […]