IST/CMC - Osaka University
Cybermedia Center / Graduate School of Information Science & Technology◆A PDA-based See-through-the-Lens Interface for Large Display Systems◆A Grid-aware Access Control and Data Filtering Mechanism◆World-wide Visualization Environment for e-Science over High-speed Networks◆A Data Grid Environment for Research Using Ultra-High Voltage Electron Microscopy◆Observation System for Transient Phenomena and Weather Forecast on Sensor Network

BoothNo. 2023

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本文、問合せ Helvetica RegularWorld-wide Visualization Environmentfor e-Science over High-speed Networks
Cybermedia Center, Osaka University, Japan
The Applied Information System division of the Cybermedia Center aims for global computational and visualization services for scientific users. Not only
large-scale computational facilities but also visualization service with petascale storage. We hope to promote next generation HPC/Visualization services withinterdisciplinary scientists and companies.

HPC Analytic Science: Challenge for development of the world-wide platform of Visualization

Vorticity often causes chaos phenomenon in clinical cases. However, clinical cases are sometimes very hard to analyze and quantify as evidence. In somecases, Large Eddy Simulation (LES), a turbulence model, may help medical science computationally because it can estimate the effects of vorticity. Hence,speech science, which uses oral functions, will shift to a speech e-Science that regards vorticity as one of its main factors. (For LES analysis, we used
FrontFlow/Blue.) However, LES analysis requires a huge amount of computational cost due to its algorism; moreover, a huge amount of analytical data needs
to be exported in order to be visualized effectively. Therefore, the Cybermedia Center has been developing a remote visualization and databaseinfrastructure similar to our SC07 demo that will share computational resources and visualization resources with speech scientists. Currently, as the corevisualization technology, Particle- Based Volume Rendering was chosen because of its scalability and confidence of the interpolation for FEM simulation
method.

Database and Visualization in e-Science Infrastructure

Scientific Visualization Middleware: Expansion modules for Tiled Display Wall
Application Control Module for SAGE
Recently, SAGE (Scalable Adaptive Graphics Environment) has been received attention
as a middleware that allows scientists to control and drive a TDW. The most promisingfeature of SAGE is that it enables scientists at a site to visualize scientific data on a TDW
located at the site through the use of network streaming technology even if the scientific
data are stored and generated on different sites.
However, SAGE does not have any function or method to let the visualization
application know user input from its user interface, SAGE UI. Thus, users have to use theapplication’s interface directly without using SAGE UI. For the unification of theseinterfaces, we develop a built-in application control module for SAGE.
HD Streaming Adapter Module for SAGE
The advancement of networking technology allows transmission of uncompressed HighDefinition video over the Internet. We have been developing an HD streaming adapter
module for SAGE that allows HD streaming video to be displayed in real-time on aSAGE-based TDW.

High-Speed Data Transfer Protocol: gentle UDT with fairness over High-speed networks

e-Science applications such as some Grid applications, World-wide data sharing applications, etc., require the transfer of large amounts of data over long
distance networks. The throughput of conventional TCP (Reno or NewReno) over LFNs (Long Fat pipe Networks) is much smaller than the application
requirements. High-speed protocols are being developed to overcome this problem. However, the fairness of these high-speed protocols with conventional
TCP is not sufficient in LFNs.
Therefore we propose high-speed transport protocols considering fairness with other traffic in LFNs. One protocol is a “gentle UDT”. The original UDT(UDP based data transfer protocol) is a high-speed protocol that estimates available bandwidth on the receiver side by using packet-pair algorithms.
However, the fairness of UDT with conventional TCP and UDT itself over LFNs is not good enough because of late detection of congestion. Our gentle UDT
can improve the fairness and achieve enough throughput over LFNs. We develop an estimation algorithm using a packet train with early recognition ofcongestion, and develop the AIMD algorithm with this recognition.

Contact : AIS Division
E-mail : sc-inquiry@ais.cmc.osaka-u.ac.jp

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Observation System for Transient Phenomena
and Weather Forecast on Sensor Network
Hyogo University of Health Sciences
Introduction

Transient phenomena such as super novae and gamma-ray bursts often occur in our universe.
However, it is difficult to get the first few minutes of data because we cannot predict when these
phenomena occur. On the other hand, small telescopes are in widespread use and these
phenomena can be observed by these telescopes because these phenomena are bright enoughto observe. We present a cooperative observation system for these phenomena by using P2P
infrastructure and a weather forecasting system for scheduling the observation.

P2P Platform

We adopt the P2P architecture as ourapplication platform for controlling many
telescopes, images and weather sensor data.
In general, discovering the data effectively isdifficult. We use PIAX (P2P InteractiveAgeneXtensions, http://www.piax.org/) as a platform.
PIAX, which is developed by Osaka University,
can search and get data on the basis of its
location information effectively by DHT andLL-Net.

Observation and Weather Forecasting System

We built a system for controlling the telescopes and imaging devices and forecasting
the local weather by weather sensor data. In order to schedule observations, knowing
the local weather information is necessary. But the local weather changes during 10
minutes order. So we use not only public information but also the local weather sensor
data. We collect the weather data by a mobile agent implemented by PIAX and predictthe local weather by AR (auto-regressive) model and interpolate the data at certain
points. We schedule the observation by these information and get the image data of
the phenomena.

Example: multiple weather sensor data

Data collection by P2P agent
The agent predicts the weatherby using the historical data

Software architecture of each peer
Blue: original data Red: predicted dataBehavior of mobile agent

Get forecast information at
the any point by interpolation

Decision of observation
schedule in accordancewith the weather forecast
information

Case: 24 hours cooperative observation network

Interpolated map of weather data
Contact : Seiichi Kato, Ph.D.
E-mail : katosi@huhs.ac.jp

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Uncompressed HDTV on Tiled Display Walland 10-Gbps High-Accuracy Distributed Network Monitoring
NTT Network Innovation Laboratories
and Cybermedia Center, Osaka University
Uncompressed HDTV on Tiled Display Wall

10-Gbps High-Accuracy Distributed Network Monitoring

Osaka University and NTT have developed an uncompressed HDTV streaming
system for a tiled display wall. The system can receive HDTV streams from theNTT i-Visto system.

NTT has developed a 10-Gbps network interface card with high-accuracy
traffic-measurement capabilities, which enables distributed network monitoring
systems using an application-coexistent monitoring scheme.

NTT has also developed a protocol converter, which enables interoperation
between i-Visto and iHD1500 developed by the University of Washington.

In this booth, we demonstrate the measurement of traffic burstiness and delays
using 100-ns fine-resolution packet time-stamps appended to i-Visto streams. The
characteristic differences are shown on two different networks from Japan to theUnited States using deployed systems in Seattle and Austin.

NTT promotes standardization of the protocol to facilitate the wide-ranging use of
uncompressed HDTV transmission.

This work was partially supported by the National Institute ofInformation and Communications Technology.
Contact : NTT Network Innovation Laboratories
E-mail : sc08@lab.ntt.co.jp

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The Massive Scale Visualization and Simulation
for Unstructured Hexahedron Mesh Data on TDWOsaka University, Kyoto University and KGT Inc.
Background

Noise predictions combined with the computational fluid dynamics (CFD) method are growing popular, because advance of CFD enable the time series
analyses of vortex. This improvements of simulation technologies enable engineers and scientists to explore the effective and theoretical design of not
only industrial materials but also medical materials.
In our own body, there are growing expectations of the researching and developing the fundamental treatment methods of speech disorders, which aredirectly linked to Quality Of Life (QOL). In particular, the dental fricative voice has different characteristics of its sound production with the one of thevowel. The sound source of the dental fricative is downstream obstacle in the oral airflow field, where turbulence is dominant, although the vowel’ssound source is the vibration of vocal cords by airflow thorough them. That is to say, frontal teeth are thought to be the obstacles against the turbulenceand sound source so far. In oral therapies, the modification of oral morphological features is often happened on changing spatial positioning of jaws on
the purpose of maxillofacial orthodontic therapies, prosthetic treatments of superstructures after dental implant surgeries and inserting sports
mouthguards. Those alterations of oral morphologies may affect the characteristics of the resonance, and the magnitudes and region of the soundsources.
Therefore CFD and an acoustical simulation may predict the influence to the voice quality by such alteration of human oral geometries. To realize theprediction, huge amount of computational, storage and visualization resources are needed, which should be given in distributed environments. In orderto understand the total view of oral air flow, the volumetric visualization are appropriate. As the oral air tract has very complicated morphologicalgeometries, an unstructured mesh need to be taken and huge size of computational mesh are required to capture the vortex attitude. However, thevolume rendering of unstructured mesh is not possible so far.

Human Vocal tract

Unstructured Hexahedron Mesh

CFD Boundary Conditions

Conventional Visualization

PBVR for Velocity Field 1

PBVR for Velocity Field 2

In this project, we’ve developed three components, the volume rendering software for massively huge data size complicated geometry data,
middleware to achieve the data sharing, parallel processing and network monitoring, and an interactive human interface for visualization control in thedesign lab or etc.

Particle Based Volume Rendering

In this project, we will develop a system to visualize a large scale irregular volume dataset on a tiled display wall (TDW). The accomplishment of thisproject will be expected to become a visualization foundation for our national peta-scale computing facility which will be developed in 2011.Thedevelopment of techniques for processing irregular volumes has remained a major challenge for the visualization community. Such datasets consist
mainly of scalar data defined on collections of irregularly ordered cells whose shapes are not necessarily orthogonal cubic. In irregular volumerendering, one of the most major issues is to relax the processing requirement for the visibility sorting or to develop a technique without the sorting. To
address the latter, we developed a particle-based volume rendering (PBVR) technique. In general, a volume rendering technique utilizes an illumination
model in which the 3D scalar field is characterized as a varying density emitter with a single level of scattering. Our rendering technique represents
the 3D scalar fields as a set of particles. The particle density is derived from a user-specified transfer function, and describes the number of particles
in a unit volume at any given point.
Since the particles can be considered fully opaque, no visibility sorting processing is required during rendering process, and this is advantageous froma distributed processing perspective.
Currently, we confirmed that the technique can generate an image which is equivalent to the volume ray-casting's and deal with large irregular volumedatasets in which the maximum number of tetrahedral cells exceeded one billion. In 2008, we will develop the remote visualization system in which a
set of particles are transmitted through a high speed network. The next year, we will develop an integrated renderer which can process particles
generated from geometric datasets such as polygons, polylines. In the final year, we will develop a streaming system which renders time-varying
irregular volume datasets.

Interactive Human Interface

In this three-year project, the user interface team aims to develop a set of novel 3D interaction techniques for investigation and exploration of volumetricdata. As opposed to a typical polygon-based virtual environment, interactive examination of volumetric data of interest exhibits a number of technicalchallenges to tackle; e.g. huge data size hinders its rendering at an interactive frame rate at the highest pixel resolution of the tiled display,self-occlusion prevents observation of an internal structure of interest. The user interface team will propose and validate new solutions to these
problems by exploiting levels-of-detail techniques, interactive space-warping, multi-view rendering, and a diverse range of 3D interaction techniques.

Portable CMC TDW
Contact : Haruo Takemura,Director of CMC
E-mail : takemura@cmc.osaka-u.ac.jp