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IBM Competition Pushes Student Teams to Tackle Big Data Research Problems

Logo of the POWER8 platform.

Four universities in three countries are competing in the second annual Power8 University Challenge.

Credit: IBM

Holland's Delft Technical University, China's Tsinghua University, Louisiana State University (LSU), and the University of Texas at Austin (UT Austin) are competing in the second annual POWER8 University Challenge.

The institutions will tackle big data research using the latest high-performance computing tools from IBM such as Power8, a type of RISC chip based on the POWER architecture.

Delft will accelerate gene sequencing with the use of POWER8, along with reconfigurable acceleration as a platform for in-memory big data computation on Apache Spark.

Tsinghua will perform machine-based stock-price prediction using social network data and company news.

LSU will introduce innovations to a university-developed genome assembler, which will allow terabytes of "less-expensive" flash to appear as main memory.

Meanwhile, UT Austin will incorporate IBM POWER8 systems into the FAbRIC cloud to make services available to OpenPOWER developers.

A best-in-class winner will be announced during IBM's InterConnect2016 cloud and mobile conference in February.

OpenPOWER, the foundation dedicated to creating an open ecosystem based on the POWER architecture, introduced the challenge with IBM and affiliated member companies.

From Campus Technology
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