As the scale of high performance computing systems grows, three main challenges arise:
the programmability, reliability, and energy efficiency of those systems. Accomplishing all …

As the size of high performance applications increases, four major challenges including
heterogeneity, programmability, failure resilience, and energy efficiency have arisen in the …

Despite the widespread adoption of heterogeneous clusters in modern data centers,
modeling heterogeneity is still a big challenge, especially for large-scale MapReduce …

Clustering is one of the main task of data mining, where groups of similar objects are
discovered and grouping of similar data as well as outliers detection are performed …

As the size of high performance applications increases, four major challenges including
heterogeneity, programmability, fault resilience, and energy efficiency have arisen in the …

There are four main challenges that have arisen as the scales of high performance
distributed systems grow. Those challenges are the resilience to failure, the …