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 …

The work presented here is driven by two observations. First, heterogeneous architectures
that integrate a CPU and a GPU on the same chip are emerging, and hold much promise for …

MapReduce is a popular data-parallel processing model encompassed with recent
advances in computing technology and has been widely exploited for large-scale data …

In regular FIR structure, by pipelining the multipliers one can improve the throughput. But as
with the growth of operand word length, the delay in addition process becomes another …

Accelerators and heterogeneous architectures in general, and GPUs in particular, have
recently emerged as major players in high performance computing. For many classes of …

The Single Instruction Multiple Data (SIMD) architecture of Graphic Processing Units (GPUs)
makes them perfect for parallel processing of big data. In this paper, we present the design …

Abstract Recently Field-Programmable Gate Array (FPGA) vendors, such as Altera and
Xilinx released an Open Computing Language Software Development Kit (OpenCL SDK) …

The Single Instruction Multiple Data (SIMD) architecture of Graphic Processing Units (GPUs)
makes them perfect for parallel processing of big data. In this paper, we present the design …

Heterogeneous systems have gained popularity due to the rapid growth in data and the
need for processing this big data to extract useful information. In recent years, many …

Apache Spark is a distributed processing framework for large-scale data sets, where
intermediate data sets are represented as RDDs (Resilient Distributed Datasets) and stored …