  The importance of computing in astronomy continues to increase, and so is its
impact on the environment. When analyzing data or performing simulations, most
researchers raise concerns about the time to reach a solution rather than its
impact on the environment. Luckily, a reduced time-to-solution due to faster
hardware or optimizations in the software generally also leads to a smaller
carbon footprint. This is not the case when the reduced wall-clock time is
achieved by overclocking the processor, or when using supercomputers.
  The increase in the popularity of interpreted scripting languages, and the
general availability of high-performance workstations form a considerable
threat to the environment. A similar concern can be raised about the trend of
running single-core instead of adopting efficient many-core programming
paradigms.
  In astronomy, computing is among the top producers of green-house gasses,
surpassing telescope operations. Here I hope to raise the awareness of the
environmental impact of running non-optimized code on overpowered computer
hardware.
