Distributed processing of very large datasets with DataCutter
MD Beynon, T Kurc, U Catalyurek, C Chang… - Parallel Computing, 2001 - Elsevier
We describe a framework, called DataCutter, that is designed to provide support for
subsetting and processing of datasets in a distributed and heterogeneous environment. We …
subsetting and processing of datasets in a distributed and heterogeneous environment. We …
A comparison of graph-based synthetic data generators for benchmarking next-generation intrusion detection systems
Property-graphs are becoming popular for Intrusion Detection Systems (IDSs) because they
allow to leverage distributed graph processing platforms in order to identify malicious …
allow to leverage distributed graph processing platforms in order to identify malicious …
Design of a framework for data-intensive wide-area applications
Applications that use collections of very large, distributed datasets have become an
increasingly important part of science and engineering. With high performance wide-area …
increasingly important part of science and engineering. With high performance wide-area …
Infrastructure for building parallel database systems for multi-dimensional data
C Chang, R Ferreira, A Sussman… - … Symposium and 10th …, 1999 - ieeexplore.ieee.org
Our study of a large set of scientific applications over the past three years indicates that the
processing for multidimensional datasets is often highly stylized. The basic processing step …
processing for multidimensional datasets is often highly stylized. The basic processing step …
Study of scalable declustering algorithms for parallel grid files
The efficient storage and retrieval of large multidimensional datasets is an important concern
for large-scale scientific computations, such as long-running time-dependent simulations …
for large-scale scientific computations, such as long-running time-dependent simulations …
T2: A customizable parallel database for multi-dimensional data
As computational power and storage capacity increase, processing and analyzing large
volumes of data play an increasingly important part in many domains of scientific research …
volumes of data play an increasingly important part in many domains of scientific research …
Object-relational queries into multidimensional databases with the active data repository
R Ferreira, T Kurc, M Beynon, C Chang… - Parallel Processing …, 1999 - World Scientific
As computational power and storage capacity increase, processing and analyzing large
volumes of multi-dimensional datasets play an increasingly important role in many domains …
volumes of multi-dimensional datasets play an increasingly important role in many domains …
Compiler support for exploiting coarse-grained pipelined parallelism
W Du, R Ferreira, G Agrawal - Proceedings of the 2003 ACM/IEEE …, 2003 - dl.acm.org
The emergence of grid and a new class of data-driven applications is making a new form of
parallelism desirable, which we refer to as coarse-grained pipelined parallelism. This paper …
parallelism desirable, which we refer to as coarse-grained pipelined parallelism. This paper …
[PDF][PDF] A quantitative visualization tool for large wind tunnel experiments
M Macháček - 2002 - research-collection.ethz.ch
The development of a measurement system to visualize complex flows in large scale wind
tunnel tests is described. The method is based on the three-dimensional reconstruction of …
tunnel tests is described. The method is based on the three-dimensional reconstruction of …
[图书][B] Wake turbulence: An obstacle to increased air traffic capacity
National Research Council, Division on Engineering… - 2008 - books.google.com
Without major changes, the current air transportation system will be unable to accommodate
the expected increase in demand by 2025. One proposal to address this problem is to use …
the expected increase in demand by 2025. One proposal to address this problem is to use …