Add to ORKGAbstract. The MapReduce framework has been generating a lot of interest in a wide range of areas. It has been widely adopted in industry and has been used to solve a number of non-trivial problems in academia. Putting MapReduce on strong theoretical foundations is crucial in understanding its capabilities. This work links MapReduce to the BSP model of computation, underlining the relevance of BSP to modern parallel algorithm design and defining a subclass of BSP algorithms that can be efficiently implemented in MapReduce
The Bulk-Synchronous Parallel (BSP) bridging model is a candidate for a simple and practical definit...
Abstract. MapReduce is a useful and popular programming model for data-intensive distributed paralle...
We regard the MapReduce mechanism as a unifying principle in the domain of computer science. Going b...
AbstractThe MapReduce framework has been generating a lot of interest in a wide range of areas. It h...
International audienceData abundance poses the need for powerful and easy-to-use tools that support ...
Data abundance poses the need for powerful and easy-to-use tools that support processing large amoun...
have become so complex, and thus computation tools play an important role. In this paper, we explore...
Since its introduction in 2004, the MapReduce framework has be-come one of the standard approaches i...
In this paper, we describe efficient MapReduce simulations of parallel algorithms specified in the B...
A functional language called BSML is designed for programming BSP algorithms in direct mode. Its aim...
Abstract. MapReduce, being inspired by the map and reduce primi-tives available in many functional l...
In this paper, we study the MapReduce framework from an algorithmic standpoint and demonstrate the u...
The BSP model is an established practical general-purpose parallel programming model. This paper pre...
MapReduce is a programming model and an associated implementation for processing and generating larg...
The Bulk-Synchronous Parallel (BSP) model was proposed by Valiant as a model for general-purpose par...
The Bulk-Synchronous Parallel (BSP) bridging model is a candidate for a simple and practical definit...
Abstract. MapReduce is a useful and popular programming model for data-intensive distributed paralle...
We regard the MapReduce mechanism as a unifying principle in the domain of computer science. Going b...
AbstractThe MapReduce framework has been generating a lot of interest in a wide range of areas. It h...
International audienceData abundance poses the need for powerful and easy-to-use tools that support ...
Data abundance poses the need for powerful and easy-to-use tools that support processing large amoun...
have become so complex, and thus computation tools play an important role. In this paper, we explore...
Since its introduction in 2004, the MapReduce framework has be-come one of the standard approaches i...
In this paper, we describe efficient MapReduce simulations of parallel algorithms specified in the B...
A functional language called BSML is designed for programming BSP algorithms in direct mode. Its aim...
Abstract. MapReduce, being inspired by the map and reduce primi-tives available in many functional l...
In this paper, we study the MapReduce framework from an algorithmic standpoint and demonstrate the u...
The BSP model is an established practical general-purpose parallel programming model. This paper pre...
MapReduce is a programming model and an associated implementation for processing and generating larg...
The Bulk-Synchronous Parallel (BSP) model was proposed by Valiant as a model for general-purpose par...
The Bulk-Synchronous Parallel (BSP) bridging model is a candidate for a simple and practical definit...
Abstract. MapReduce is a useful and popular programming model for data-intensive distributed paralle...
We regard the MapReduce mechanism as a unifying principle in the domain of computer science. Going b...