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New book: Cloud Computing for Science and Engineering

I am excited to announce the availability of Cloud Computing for Science and Engineering, a new book written by Dennis Gannon and myself and published by MIT Press. The full text is also available online at https://cloud4scieng.org, along with associated Jupyter notebooks and other supporting material.

Clouds operated by Amazon, Microsoft, Google, and others provide convenient on-demand access to storage and computing. They also provide powerful services for organizing data, processing data streams, machine learning, and many other tasks. Every scientist and engineer needs to understand what these services can and cannot do,

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Parallel algorithms for the spectral transform method

Screenshot 2014-02-27 23.25.21

I sometimes wonder about the relationship between my affection for a paper that I have written, the effort required to write it, and how much recognition the paper obtained. I think that the papers that took the most time are still the ones I like the best, even if sometimes they did not generate so much buzz in the community.

One paper that took a lot of time and of which I remain proud is Parallel Algorithms for the Spectral Transform Method, which Pat Worley and I published in the SIAM Journal of Scientific Computing in 1997.

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