Intel Science & Technology Center for Big Data

The Intel Science & Technology Center for Big Data was a five-year, Intel-backed academic-industry research initiative to expedite new Big Data infrastructure technologies. It ran from August 2012 to August 2017. It brought together some of the leading minds working in database and related technology today, from eight top universities and Intel Labs.

Read what the ISTC accomplished in this blog post by ISTC co-directors Michael Stonebraker (2014 Turing Award winner) and Samuel Madden of CSAIL - MIT with Timothy Mattson of Intel Labs.

A full history of the project is available at http://istc-bigdata.org/ #&panel1-2 including links to open-source software produced by the ISTC.

The Big Data ISTC: A Retrospection by Michael Stonebraker, Samuel Madden and Timothy Mattson | Intel Science & Technology Center for Big Data The Big Data ISTC is a research project sponsored by Intel that ran for five years (August 2012- August 2017). This blog post highlights some of the accomplishments and lessons learned during this period.

This week at VLDB 2017, ISTC PI Arvind and colleagues at CSAIL - MIT presented a new system for data center caching that uses flash memory, the kind of memory used in most smartphones, to make data centers operate more efficiently.

Making data centers more energy efficient Flash-memory system could reduce power consumption of data center “caches” by 90 percent.

Congrats to ISTC technical advisor Pradeep Dubey and Intel researchers Nadathur Satish and Narayanan Sundaram on their paper "Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data.. It describes what the authors believe to be the most scalable deep-learning implementation in the world currently, and runs on Intel Xeon Phi technology.

The work involved a collaboration between Intel, the National Energy Research Scientific Computing Center, and Stanford.

Read the article on HPCWire

NERSC Scales Deep Learning to 15 Petaflops A collaborative effort between Intel, NERSC and Stanford has delivered the first 15-petaflops deep learning software running on HPC platforms and is, accor