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About Grid4All Official Project Homepage http://www.grid4all.eu Grid4All embraces the vision of a democratic Grid as a ubiquitous utility whereby domestic users, small...
Advanced Database Systems ...
Large Scale Data Management Selected papers: `A comparison of approaches to large scale data analysis`, Andrew Pavlo, Erik Paulson, Alexander Rasin, Daniel J...
This portal provides links to various research papers on simultaneous multithreading. A more extensive (yet outdated) paper list can be found here: Multithreading...
Caches for Chip Multiprocessor Architectures (CMPs) Today, there is a trend to increase the number of processors on a single chip leading to the development of...
Status Conference/Workshop Submission deadline Notification Presentation Location OPEN SIGMOD (ACM SIGMOD/PODS Conference) October 29,...
Hadoop Distributed File System (HDFS) Developed and used as the primary storage system of the Hadoop framework, HDFS is capable of handling large files of application...
Distributed Processing Frameworks Large scale data management achieved by the distributed cooperation of computational and storage resources is a challenging task...
GREDIA: Grid enabled access to rich media content Overview GREDIA is an FP6 project funded by the European Union. Our team, as technical...
Grid Computing Grids enable the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources (such as supercomputers...
gmblock Clusters built out of commodity components are becoming more and more prevalent in the supercomputing sector as a cost effective solution for building high...
In this page we present installation instructions for the gredia middleware platform. Specifically, we present instructions for the following components: RDLS, SFC...
GridTorrent GridTorrent is an implementation of the popular BitTorrent protocol designed to interface and integrate with well defined and deployed Data Grid components...
High Performance Computing The main objective of our group in this research area is to optimize critical software (mainly computationally or memory intensive applications...
High Performance Systems and Interconnects Recent advances in interconnection technologies have made clustered systems built out of commodity components an attractive...
Concept hierarchies greatly help in the organization and reuse of information. Multidimensional, hierarchy organized data are widely used in a variety of applications...
Large Scale Data Management The research group deals with the storing, indexing and retrieval of large scale data (in the orders of TB and more). The...
The Memory Bandwidth aware Userspace Scheduler (MemBUS) Symmetric Multiprocessor (SMPs) are commonly used as the building blocks for scalable clustered systems. Often...
Multicore Systems This portal provides links to documentation about various multicore architectures. A more informative page is the Multiprocessor Watch Wiki maintained...
Generic Multilog Toolkit. Read Grid4All to get some context. Download the first (alpha) version of the toolkit. The generic multilog toolkit implements a filesystem...
MyriXen Current cloud computing research is focused on providing a scalable, on demand, clustered computing environment. One of the major challenges in this field...
NoSQL Systems The increasing data volume that needs to be stored, indexed and queried for every organization (such as e mail and web logs, historical data, click streams...
We are interested in balancing load in distributed data structures that support range queries: The keys are stored in the network nodes so that a natural order is...
Parallel Systems The main objective of this activity is to combine the advantages of distributed memory architectures (scalability) and the advantages of the shared...
SMT processors Simultaneous Multithreading (SMT) is a hardware technique that allows a conventional superscalar processor to issue instructions from multiple hardware...
For our more recent work on the Sparse Matrix Vector Multiplication check: CSX. Sparse Matrix Vector Multiplication Sparse Matrix Vector Multiplication (SPMV) is...
Speculative Multithreading and TM Speculative Mutltihreading and TM are two programming models that have been proposed in the literature in the last few years. In...
Stencil Computations The main objective of this activity is to optimize stencil computations for Cluster platforms with commodity (e.g. Gbit Ethernet) or sophisticated...
Transactional Memory (TM) Transactional Memory (TM) is a novel programming model for multicore architectures that allows concurrency control over multiple threads...
Virtualization Intro Virtualization is the art of subdividing resources provided by modern computers in order to achieve maximum performance, isolated execution,...
CSLab Web Preferences The following settings are web preferences of the CSLab web. These preferences overwrite the site level preferences in . and...
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XOROS Data redundancy in DHTs is commonly accomplished through automatic replication of values to a set of close participating nodes. Such copies, once written, should...
Number of topics: 33

 

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