The term 'Big Data'has spread rapidly in the framework of Data Mining and Business
Intelligence. This new scenario can be defined by means of those problems that cannot be …

General purpose computation using Graphic Processing Units (GPUs) is a well‐established
research area focusing on high‐performance computing solutions for massively …

With the development of information technologies, we have entered the era of Big Data.
Google's MapReduce programming model and its open-source implementation in Apache …

We introduce SparkCL, an open source unified programming framework based on Java,
OpenCL and the Apache Spark framework. The motivation behind this work is to bring …

Due to its simplicity and scalability, MapReduce has become a de facto standard computing
model for big data processing. Since the original MapReduce model was only appropriate …

With the growing need of big-data processing in diverse application domains, MapReduce
(eg, Hadoop) has become one of the standard computing paradigms for large-scale …

In this article, we propose new extensions to Hadoop to enable clusters of reconfigurable
active solid-state drives (RASSDs) to process streaming data from SSDs using FPGAs. We …

This work presents an effort to bridge the gap between abstract high level programming and
OpenCL by extending an existing high level Java programming framework (APARAPI) …

Recently, many large-scale data-intensive applications have emerged from the Internet and
science domains. They pose significant challenges on the performance, scalability and …

With the pervasiveness of MapReduce-one of the most prominent programming models for
data parallelism in Apache Hadoop-, many researchers and developers have spent …