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|About||Inventing New Information Technologies for Big Data|
Our mission was to produce new data management systems and compute architectures for Big Data. Together, these systems would help people process data that exceeds the scale, rate, or sophistication of current data processing systems. We also demonstrated the effectiveness of these solutions on real applications in science, engineering, and medicine, making our results broadly available through open sourcing.
Our center included leading researchers from Brown, MIT, Northwestern University, Portland State, Stanford, University of Chicago, University of Tennessee, University of California at Santa Barbara, and University of Washington. Researchers are experts in such areas as data-intensive scalable computing, machine learning, computer architecture, visualization, and the sciences (genomics, medicine, oceanography, imaging, and remote sensing).
The Intel Science & Technology Center for Big Data (2012-2017) was a group of researchers from Intel Labs, MIT CSAIL and other top research universities. It produced new data management systems and compute architectures for Big Data that overcome the limitations of traditional Information Technology.
The center was based at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, and was primarily affiliated with the Intel Parallel Computing Lab.
About the ISTC Program:
The ISTC for Big Data is one of a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer collaboration among academic thought leaders in essential technology areas.
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New data management systems and compute architectures for Big Data. We’re focused on five major research themes:
Big Data Databases and Analytics
Big Data Math and Algorithms
Big Data Visualization
Big Data Architecture
Streaming Big Data