LSU accelerates big data analytics with a Hadoop-based approach

IBM and LSU Accelerate Genomics Analysis with SMT8 Multithreading

Cover

Big data analytics are demanding more performance and compute cycles per processor than ever before, thereby making it increasingly difficult to deliver relevant insights with tight turnaround.

This report explores the results of a collaboration between IBM and Louisiana State University on the state of big data analytics and performance. Find out how to take a Hadoop-based approach to generating powerful big data insights. 

Vendor:
IBM
Posted:
13 Mar 2018
Published:
13 Mar 2018
Format:
PDF
Length:
11 Page(s)
Type:
White Paper
Language:
English
Already a Bitpipe member? Login here

Download this White Paper!