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You mean like this? My 12 cores in chaos:
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multi thats a crazy setup. is that your home setup :p i would hate to see your work setup!!! got any specs on ALL your gear hhahaha. might take a few years to write it all up.

id kill for an 8-core MP. those things are beasts, especially with 3 monitors. gosh im drooling.
 
Just wondering:
Do you also supervise PhD-students and what computers do they have on their desks?

I have helped supervise several Ph.D. students, and I've given six students their Ph.D. exams at my previous university (U. of Pennsylvania). Since I'm only an Assistant Professor, then I have not been the primary advisor for any Ph.D. students yet. Ph.D. students should choose a tenured advisor for their primary research advisor--that's always good advice.

I looked across the hall in one of the graduate student's offices, and he told me that the graduate students' offices each have a Pentium 4 machine, 3 GHz, with 1 GB of RAM. The department, of course, has a variety of labs available too. Lots of people in the department use UNIX for their computing, but they sometimes log-in remotely from a Windows box to do that.

Purdue benefits from its size when it comes to computing. Our computing resources are huge. We have approximately 3000 faculty on campus (rough number), but our computing facility employees approximately 500 more people. That is a very good ratio of faculty to computing support, in my opinion. The amount of computing resources and clusters we have on campus is really mind-boggling. There are lots and lots and lots of folks here doing high-powered computing.

(Cheap Advertisement: Come to Purdue to study!)
 
I have helped supervise several Ph.D. students, and I've given six students their Ph.D. exams at my previous university (U. of Pennsylvania). Since I'm only an Assistant Professor, then I have not been the primary advisor for any Ph.D. students yet. Ph.D. students should choose a tenured advisor for their primary research advisor--that's always good advice.

I looked across the hall in one of the graduate student's offices, and he told me that the graduate students' offices each have a Pentium 4 machine, 3 GHz, with 1 GB of RAM. The department, of course, has a variety of labs available too. Lots of people in the department use UNIX for their computing, but they sometimes log-in remotely from a Windows box to do that.

Purdue benefits from its size when it comes to computing. Our computing resources are huge. We have approximately 3000 faculty on campus (rough number), but our computing facility employees approximately 500 more people. That is a very good ratio of faculty to computing support, in my opinion. The amount of computing resources and clusters we have on campus is really mind-boggling. There are lots and lots and lots of folks here doing high-powered computing.

(Cheap Advertisement: Come to Purdue to study!)


So what are u a professor of??? Pursue has more resources than Penn??
 
Ups?

Nice setup! Have you got a heavy UPS for it? Time to time, we get power outages when the weather gets rough. After losing two days worth of simulations, I've invested in a UPS and it's saved my bacon twice over this summer. Keeps it up just long enough to hibernate. For really long jobs, I'm better off using one of the schools servers as they have generator backup, even if it does takes longer as I am sharing CPUs with others.
 
EDIT: You know, on the serious side, I hope the 16 gb was really necessary as well as the apple 30'' displays (being that there are comporable models from dell and others WAY cheaper). Many of us have student loans or will have student loans due to the INSANE costs of higher education, so I like to think that my tuition and namely the money that paid for all that is money well spent. That's why everyone in here is asking what you do. Sorry to give you the lecture but a) my student loans gives me license and b) you probably didn't pay out of pocket and c) you posted this publically and d) I am really jealous of item b). Hope you spent your students' money well, and I'm sorry you had to settle for 16gb of RAM as opposed to 32, I know it's tough!

I think usually it is the research grants, private endowments and not tuition money that buys stuff like this.
 
So what are u a professor of??? Pursue has more resources than Penn??

I believe he does statistics. And yes, Purdue has very good computing resources. Purdue was the first university to offer a computer science degree, so they've been at it for a long time and have some of the best relationships with companies like Intel, IBM, HP, etc which all donate a ton of hardware to the school. I've toured the server farms there a few times. It's fairly impressive.
 
Wow, that really is slick. All you need now is a great desktop wallpaper to stretch all three screens, may I suggest something from the Mandolux archive?

I checked out Mandolux but just didn't see anything that appealed to me. You're right--it would be awesome to have a wallpaper that spans all three screens, but each screen is 2560x1600, and so that's a total of 7680x1600, which is enormous.

There are several three-screen wallpapers on Mandolux, but I haven't fallen in love with any of them yet. I'm going to keep looking.
 
I believe he does statistics. And yes, Purdue has very good computing resources. Purdue was the first university to offer a computer science degree, so they've been at it for a long time and have some of the best relationships with companies like Intel, IBM, HP, etc which all donate a ton of hardware to the school. I've toured the server farms there a few times. It's fairly impressive.

Purdue's computing power is not only impressive.... it's downright amazing (IMHO).

I love being back at Purdue, where I also earned my Ph.D. back in 2005. After spending two years away from Purdue as a Lecturer, it is wonderful to be a Hoosier again.

By the way, since "mrogers" brought it up, I am in the Department of Statistics, but I'm not really a statistician. That's another wonderful thing about Purdue: it's a campus that truly supports interdisciplinary research. I specialize in Analysis of Algorithms, which some consider as applied mathematics, and others call it theoretical computer science, and there is a huge overlap with information theory, etc., etc. The list goes on and on, and the lines between disciplines and specializations get very blurred.
 
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