Parallel volume rendering offers a feasible solution to the large data visualization problem by distributing both the data and rendering calculations among multiple computers con...
Aleksander Stompel, Kwan-Liu Ma, Eric B. Lum, Jame...
Abstract—Breadth First Search (BFS) is a widely used approach for sampling large unknown Internet topologies. Its main advantage over random walks and other exploration technique...
Using off-the-shelf commodity workstations and PCs to build a cluster for parallel computing has become a common practice. A choice of a cost-effective cluster computing platform ...
Our research addresses two important problems that arise in modern large-scale distributed systems: (1) the necessity to virtualize their data flows by applying actions such as ï...
Radhika Niranjan, Ada Gavrilovska, Karsten Schwan,...
Abstract. In the ongoing arms race against malware, antivirus software is at the forefront, as one of the most important defense tools in our arsenal. Antivirus software is flexib...