Ed Lazowska

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The recent appearance of architectures with at 64-bit virtual addressing opens an opportunity to reconsider the way our operating systems use virtual address spaces. We are building an operating system called Opal for these wide-address architectures. The key feature of Opal is a single global virtual address space that extends to data on long-term storage(More)
Science is becoming data-intensive, requiring new software architectures that can exploit resources at all scales: local GPUs for interactive visualization, server-side multi-core machines with fast processors and large memories, and scalable, pay-as-you-go cloud resources. Architectures that seamlessly and flexibly exploit all three platforms are largely(More)
1 Recent rapid advances in information and communication technologies – both hardware and software – are creating a new revolution in discovery and learning, laying the foundation for a more competitive US economy in the second decade of the 21 st century. Over the past several decades, computational science – the large-scale simulation of phenomena – has(More)
I had a clear line of argument in mind when I agreed to contribute this editorial: that while there are many reasons for striving to increase the representation of women in our field, the selfish reason is the most compelling one: the quality of the solutions we achieve is enhanced by the diversity of the individuals contributing to these solutions. I(More)
During the Summer of 2015, the University of Washington eScience Institute ran an interdisciplinary summer internship program focused on urban informatics, civic engagement, and data-intensive social science. Borrowing elements from the successful Data Science for Social Good (DSSG) programs at the University of Chicago and Georgia Tech, and building on our(More)