Energy Efficient Semiconductor and Computing Technology: Intel@VSLI 2014

Across the spectrum of computing devices, from supercomputers and datacenters to tablets and wearables, there is a constant pressure to increase capabilities while consuming less power. For the high end, it is because we want to fit more processing power … Read more >

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Turning Classrooms Upside-Down with Adaptive Learning

I’m often frustrated when my children bring home assignments based on memorization and regurgitation. Will these assignments really prepare them for modern life? Society is evolving, and increasingly the jobs that will support a quality standard of living will be those of knowledge workers. In my own career, the skills that have taken me forward […] Read more >

Making it personal (safely) with Big Data

For centuries we’ve relied on “one size fits all” generalizations to guide decisions. For example, I hear marketers today saying “the millennial generation loves sharing everything on social media.” Many do, but I certainly know some that don’t. “Children ages 3-12 should take 2mL twice daily.” How could a 3 year old really require the same […] Read more >

Moving massive data efficiently between chips

As more and more aspects of life become digital, humankind is evolving into a data society where information is king. Technology trends including social media, e-commerce, e-science, Big Data and Exascale Computing are driving a need to dramatically increase computational capabilities for servers, datacenters and supercomputers without dramatically increasing power consumption. At ISSCC 2013, Mozhgan […] Read more >

Revealing the Earth (Intel Labs@SC12)

Satellite photography enables earth-mapping applications such as Google Earth to pull together vast amounts of imagery to provide high resolution views of the planet for a spectrum of personal, business, and government applications. However, satellites have two fundamental limitations: they can’t see at night and they can’t see through obscuring trees or other vegetation. Radar […] Read more >

A “Best Paper” on Big Data Signal Processing (Intel Labs@SC12)

It was just announced at the awards session at SC12 that Intel has won “best paper” for research into more efficient processing for a fundamental calculation in high performance computing, entitled “A Framework for Low-Communication 1-D FFT.” Numerous wave applications (e.g. sound, radio) rely on the Fast Fourier Transform (FFT) including signal processing, communications, and multi-media. […] Read more >

Mining Big Data on Big Clusters (Intel Labs@SC12)

Many of the most promising applications of Big Data, the vast and growing data repositories accumulating across the world, work by scouring millions or billions of interrelated things to discover interesting new relationships. The result could be a new scientific theory, a business insight that reveals a new market opportunity, or connections to people who […] Read more >