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Dive into the research topics where Marco Mazzucco is active.

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Featured researches published by Marco Mazzucco.


The Journal of Supercomputing | 2005

Simple Available Bandwidth Utilization Library for High-Speed Wide Area Networks

Robert L. Grossman; Marco Mazzucco; Harimath Sivakumar; Y. Pan; Q. Zhang

The growth of high-speed wide area networks (WANs) has enabled the emergence of new classes of data intensive, wide area computing applications, such as the remote analysis and exploration of data and distributed data mining. The de facto standard for reliable data transfers is the Transmission Control Protocol (TCP). Despite improvements in TCP over the years (to reduce overhead and achieve higher throughput), it is still a common experience for the end-to-end data rates of wide area data mining and data analysis applications to be inefficient. This paper introduces a library called SABUL (Simple Available Bandwidth Utilization Library) which merges features of UDP and TCP to produce a light-weight protocol with flow control, rate control and reliable transmission mechanisms that is designed for data intensive applications over wide area high performance networks. In this paper, we describe the library and give experimental evidence of its effectiveness.


International Journal of Cardiac Imaging | 2000

A system for determination of 3D vessel tree centerlines from biplane images

Kenneth R. Hoffmann; Anindya Sen; Li Lan; Kok-Gee Chua; Jacqueline Esthappan; Marco Mazzucco

With the increasing number and complexity of therapeutic coronary interventions, there is an increasing need for accurate quantitative measurements. These interventions and measurements may be facilitated by accurate and reproducible magnifications and orientations of the vessel structures, specifically by accurate 3D vascular tree centerlines. A number of methods have been proposed to calculate 3D vascular tree centerlines from biplane images. In general, the calculated magnifications and orientations are accurate to within approximately 1–3% and 2–5°, respectively. Here, we present a complete system for determination of the 3D vessel centerlines from biplane angiograms without the use of a calibration object. Subsequent to indication of the vessel centerlines, the imaging geometry and 3D centerlines are calculated automatically and within approximately 2 min. The system was evaluated in terms of the intra- and inter-user variations of the various calculated quantities. The reproducibilities obtained with this system are comparable to or better than the accuracies and reproducibilities quoted for other proposed methods. Based on these results and those reported in earlier studies, we believe that this system will provide accurate and reproducible vascular tree centerlines from biplane images while the patient is still on the table, and thereby will facilitate interventions and associated quantitative analyses of the vasculature.


Future Generation Computer Systems | 2003

Experimental studies using photonic data services at IGrid 2002

Robert L. Grossman; Yunhong Gu; Don Hamelburg; David Hanley; Xinwei Hong; Jorge Levera; Dave Lillethun; Marco Mazzucco; Joe Mambretti; Jeremy Weinberger

We describe an architecture for remote and distributed data intensive applications that integrates optical path services, network protocol services for high performance data transport, and data services for remote data analysis and distributed data mining. We also present experimental evidence using geoscience data that this architecture scales to long haul, high performance networks.


Future Generation Computer Systems | 2003

TeraScope: distributed visual data mining of terascale data sets over photonic networks

Chong Zhang; Jason Leigh; Thomas A. DeFanti; Marco Mazzucco; Robert L. Grossman

TeraScope is a framework and a suite of tools for interactively browsing and visualizing large terascale data sets. Unique to TeraScope is its utilization of the Optiputer paradigm to treat distributed computer clusters as a single giant computer, where the dedicated optical networks that connect the clusters serve as the computers system bus. TeraScope explores one aspect of the Optiputer architecture by employing a distributed pool of memory, called LambdaRAM, that serves as a massive data cache for supporting parallel data mining and visualization algorithms.


Computing in Science and Engineering | 2002

DataSpace: a data Web for the exploratory analysis and mining of data

Robert L. Grossman; Marco Mazzucco

A data web can simplify the processes of cleaning, transforming, and exploring data in a data mining application. DataSpace is one such mechanism that lets scientists view, retrieve, and apply simple transformations to remote and distributed data. DataSpace is an example of a data web, that is, a web-based infrastructure for working with data.


ieee international conference on high performance computing data and analytics | 2003

Data webs for earth science data

Asvin Ananthanarayan; Rajiv Balachandran; Robert L. Grossman; Yunhong Gu; Xinwei Hong; Jorge Levera; Marco Mazzucco

We describe high performance data webs for earth science data, which are designed for interactively analyzing small to moderate size remote data sets, as well as mining distributed data sets. Achieving high performance required developing specialized high performance transport services as well as specialized high performance middleware services for merging multiple data streams. Data webs complement data grids, which are grid based infrastructures designed to support arbitrary distributed computation over distributed data using a trusted computing model.


Archive | 2001

A Dataspace Infrastructure for Astronomical Data

Robert L. Grossman; Emory Creel; Marco Mazzucco; Roy Williams

This article describes an internet infrastructure for working with data called DataSpace. A distributed DataSpace application containing data from the 2MASS and DPOSS astronomical data sets is also described. DataSpace is designed so that client applications supporting the remote analysis and distributed mining of data are easy to build.


Information & Computation | 2006

Determined theories and limit laws

John T. Baldwin; Marco Mazzucco

We provide a new model theoretic technique for proving 0-1 and convergence laws. As an application, we obtain a new (slightly less computational) proof of convergence laws due to Spencer and Thoma for the probability functions: pnl = In(n)/n + lċIn(In(n))/n + c/n


2008 ASME International Mechanical Engineering Congress and Exposition, IMECE 2008 | 2008

The Audible Human Project: Modeling Subject-Specific Sound Transmission in the Lungs and Torso

Thomas J. Royston; Zoujun Dai; Marco Mazzucco

A computational model for simulating sound propagation in the lungs and torso is being developed and evaluated. A theoretical model for sound propagation in the airways is coupled with an acoustic boundary element (BE) model for sound propagation in the lung parenchyma and a finite element (FE) model for sound propagation in the surrounding chest wall. Models are being validated theoretically and numerically and compared with experimental studies, including: lung-chest phantom models that simulate the lung pathology of pneumothorax; and normal human subject studies. This work is relevant to the development of advanced auscultatory techniques for lung, vascular and cardiac sounds within the torso and may be useful in the development of a more effective educational tool for teaching stethoscopic skills in the future.Copyright


Archive | 2002

SABUL: A High Performance Data Transfer Protocol

Yunhong Gu; Xinwei Hong; Marco Mazzucco; Robert L. Grossman

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Jorge Levera

University of Illinois at Chicago

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Xinwei Hong

University of Illinois at Chicago

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Yunhong Gu

University of Illinois at Chicago

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Chong Zhang

University of Illinois at Chicago

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Jason Leigh

University of Hawaii at Manoa

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John T. Baldwin

University of Illinois at Chicago

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