In this paper, we introduce DLoVe, a new paradigm for designing and implementing distributed and nondistributed virtual reality applications, using one-way constraints. DLoVe allo...
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis [17]. Although the basic control flow of this framework has existed in ...
Andrew Pavlo, Erik Paulson, Alexander Rasin, Danie...
This paper presents the Cameron Project 1 , which aims to provide a high level, algorithmic language and optimizing compiler for the development of image processing applications o...
Simulating chip-multiprocessor systems (CMP) can take a long time. For single-threaded workloads, earlier work has shown the utility of phase analysis, that is identification of r...
Jeffrey Namkung, Dohyung Kim, Rajesh K. Gupta, Igo...