Four short links: 13 March 2014

Parallel Programming, Malignant Computation, Politicised GDS, and Data Stream Toolkit

  1. Is Parallel Programming Hard? And, If So, What Can You Do About It? — book by Paul E. McKenney, on single-machine multi-CPU parallel programming.
  2. Malignant ComputationThe bitcoin mining network would work just as well if it had far less computation devoted to it. Bitcoins would be mined at exactly the same rate if 1/2 or 1/4 of the computational resources were devoted. This means that bitcoin has incentivized a tremendous amount of computational busy work.
  3. GDS Becomes Political (Computer Weekly) — She [Opposition MP] said that digital should not be about imposing a way of working on the public sector – Labour is not fond of the “digital by default” mantra – but about supporting public service delivery. […] “When this government decided upon the digitalisation of this [online job search] service they apparently did not take into account those with poor literacy skills, mental health issues or learning difficulties – who, as most people would have predicted, make up a higher-than-average proportion of the unemployed.”
  4. streamtools (Github) — a graphical toolkit for dealing with streams of data. Streamtools makes it easy to explore, analyse, modify and learn from streams of data. (via OpenNews)
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