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In document FACULTAD DE INGENIERÍA Y ARQUITECTURA (página 83-90)

10.1.6.1 Text responses to free text question 6

There were a total of 64 responses to free text question 6:

We just need large amounts of memory for genome assemblies of next generation sequence data. We have large data sets from multiple countries of the world and need to integrate these with

remotely sensed images from these sites over time. e.g. Climate data through IPCC portal.

Don't know.

If I could access instrumentation to quickly turn cars into mobile mesonetworks as is often done in tornado research projects, I would find this beneficial, since I sometimes take teams of students into the field just to observe severe storms and tornadoes. I would love to be able to collect some

We have an NIH funded center for computational mass spectrometry which has intensive compute requirements for studying protein activity in a cell.

None that I know of.

Ecological monitoring of physical and biological parameters would be useful for research and teaching.

No access needed to instrument or sensor networks.

Observations of the real world are important for assessing performance of my climate models. Appropriate "earth-system" observations could be very useful.

None really.

Although we have data input instruments (AFM, confocal), we are not able to process the data stream with real time image processing and analysis.

No current or anticipated needs.

Would be good to have remote access to mass spectrometers and mass spec data. None that I can think of, since our tabletop experiments are all in-house.

My needs are not of this type. None that I know of.

Analysis and comparison of pyrosequencing data. Coalescent analyses of large data sets. None.

N/A

I think concentrating on cyberinfrastructure and computing is absolutely the wrong way to go to advance science and engineering. Small teams of researchers can include one expert in computing or include computing resources as appropriate, but the work should be directly driven by solving specific scientific and engineering problems. There always should be more effort in analyzing and understanding computed data rather than just producing it. The core problem is that one can point to a physical object (a fast computer) and waste huge amounts of funding on it, as opposed to spending money on researchers time thinking in their office or discussing the problem, which is intangible, but the most important thing to fund. This comment assumes that the nation wants to fund innovation.

N/C None.

We have computers with 256 GB ram and 32 processors. We potentially may deal with problems that would require 1 TB ram with runs lasting perhaps 7 weeks. We work in genome assembly, determining the DNA sequence of organisms with large genomes. Our resources are adequate for genomes the size of human, 3 billion base pairs.

I have almost no need of computer technology, except for nominal tasks (word-processing, e-mail etc.). My research concerns laboratory based synthetic chemistry. Occasional needs for molecular modeling can be handled on an office PC using Spartan or Gaussian; i.e., pretty low tech in regard to IT needs.

We currently use LabView a lot for running instrumentation. If there were a more open, standardized, and similarly robust platform, with broad driver support, we'd use it instead. Don't know.

Little need for instrument/sensor networks. All work in my research is based on laboratory

instrumentation and the current networking of this instrumentation is more than sufficient for my needs.

Remote sensing for GIS.

Coastal and marine monitoring data. Don't know.

No need for access to instrument/sensor networks, probably. None.

Not clear at this time. None.

Unsure at this time.

I have all the instrument and sensor network data already in hand. I would have to be trained in how to use sensor networks.

My research is on hybrid simulation, which is simulation using a hybrid model that combines numerical and physical substructures. Integration with instruments (sensors and actuators) is key to my research. Transfer of both small packages with very high quality of service and large files with lesser quality of service are needed. Future research on massively distributed sensors (smart dust and such) is promising. Streaming and processing and visualizing massive amounts of sensor data will be a topic I would very much like to look into and use XD for it. Here, I would like to combine both measured data and data from compute models, so both data transfer and data processing are important. Finally, developing a "browser" for massive sensor data is interesting: this is really search and pattern recognition in the recorded data.

None.

It is not clear if you are asking about my own network of instruments or someone other network. None.

None.

I have access to advanced hardware, if at all I would need help with programming and software. Because I am not familiar with this yet, I am not able to outline and detail an answer.

N/A

I have access to sensor networks and their data. This could be expanded to real-time assimilation using satellite/cell modems with additional funding.

None.

Remotely operated microscopy equipment could be useful. None.

I don't need these facilities.

This survey avoids allowing me to indicate that TeraGrid and XD do not seem to meet any

computing needs I have. I have seen nothing to indicate they will provide anything useful for mid- scale computations that are inconvenient for or too big for desktops.

I would prefer that the $23M be made available to researchers to be used on commercial cloud computing platforms like Amazon Web Services, Microsoft Azure, or Google Gears. The scalability, software flexibility, "infinite" scaling, ... are far more attractive to most researchers than another relic of the 20th century--NSF purchased and managed supercomputer center.

None.

Access to state of the art information and analysis of functional capabilities would be useful. None.

I would like to have access to large scale electric power systems with realistic data for research in smart grid. A real time platform to engage in day to day operation of electric power system for short-term and long term planning and operation is another need.

Not sure.

10.1.7 Free text question 7. Please describe what computational systems you would like

In document FACULTAD DE INGENIERÍA Y ARQUITECTURA (página 83-90)

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