IBM’s POWER9 Microprocessor…
Over the past several years, all major server makers have focused on redesigning their server architectures in order to eliminate data flow bottlenecks – building what have become known as “accelerated systems”. Likewise, the major developers of database software have also found new ways to speed database processing. This combination has created a data-processing panacea for fast, efficient and affordable processing of very large databases (Big Data).
As far back as early 2013, Clabby Analytics started to report on the progress being made in accelerated system designs (our reports on VelociData, The Now Factory, IBM’s PureData system, IBM’s DB2 Analytics Accelerator and IBM Power Systems accelerated designs are available upon request). Accelerated system designs focus on speeding workload processing by improving system throughput. Improved throughput is achieved in a variety of ways including increasing internal bus speed, reducing communications overhead, off-loading tasks to other types of processors, improving memory management, reducing I/O drag, tuning execution methods, creating new interfaces that streamline peripheral access to processing power, and more.
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NOTE: This column was originally published in the Pund-IT Perspectives