Azinta Systems Blog

October 16, 2010

Scaling-up GPUs for "Big Data" Analytics – MapReduce and Fat Nodes

Filed under: GPU, GPU Analytics, LinkedIn, MapReduce — Tags: , , , — Suleiman Shehu @ 16:36

Over the last two years large clusters comprising 1,000s of commodity CPUs, running Hadoop MapReduce, have powered the analytical processing of “Big data” involving hundreds of terabytes of information.

Now a new generation of CUDA GPUs based on the Fermi (see figure 1) and the Kepler (Kepler is due in 2011) have created the potential for a new disruptive technology for “Big data” analytics based on the use of much smaller hybrid CPU-GPU clusters.

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November 28, 2009

The Six Levers of Business Agility

Directors are always on the look out for ways to increase their revenues, reduce costs and mitigate their business risks.  One of the principal ways of achieving these goals is to create a dynamic and highly responsive business operation using a number of agile technologies.

Directors are often being told that if they implement a single agile technology that they will solve the agility problem for their business.  However whilst many businesses have achieved some levels of success in using a single technology (such as BPM or Predictive Analytics), this single technology approach is no longer viable in today’s challenging and competitive business environment.

There are currently six technologies that can be considered as the “Six Levers of Business Agility”. A detailed white paper on the Six Levers of Business Agility can be download from here).

Implementing these six business agility levers provides a substantial additional uplift in business performance over what can be achieved by a single lever.

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