Accelerated R with CUDA on Linux

The R programming language uses Basic Linear Algebra Subprograms (BLAS) for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. R includes Netlib BLAS by default. Significant performance gains can be achieved by replacing that with a different BLAS library such as OpenBLAS or ATLAS.

Further gains are possible by intercepting certain calls to BLAS with NVIDIA’s NVBLAS. Operations that can benefit from running on a GPU will be automatically redirected to cuBLAS without any modification to your R code.

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Visualising OCO-2 XCO2 in R with DeltaRho

NASA JPL’s Orbiting Carbon Observatory 2 (OCO-2) was launched into sun-synchronous orbit around the Earth on July 2, 2014. It carries 3 grated spectrometers for measuring the spectrum of sunlight reflected off the surface of the earth, which is used to calculate the average concentration of Carbon Dioxide in the column of atmosphere beneath the satellite (XCO2). It takes 16 days to provide full coverage of the Earth’s surface.

I am using the R packages datadr and Trelliscope from the DeltaRho project (formerly called to explore and visualise the XCO2 observations from the OCO-2 Level 2 Lite version 7R data product.

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R on Hadoop with Tessera RHipe

This tutorial will show you how to perform parallel computation on a Hadoop cluster in R using Rhipe, with CSV files as input and output.

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Converting HDF5 to CSV

Hierarchical Data Format 5 is a popular file format for storing and managing large amounts of data. It is the format used by NASA for their ACOS and OCO-2 data products, which both contain (among other things) column-averaged CO2 in units of dry-air mole fraction (Xco2). This tutorial demonstrates how to extract the average daily Xco2 value – and total reading count per day – from the HDF5 files into a CSV file for analysis in Excel or Gnumeric.

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