trying out reason
Hi yt-dev, I was giving reason a spin, and everything went smoothly, I was able to launch reason on Nautilus and Lens, and I tried it out with Safari 5.1.1, Firefox 7.0.1, and Chrome 17.0.963.65 installed under OS X 10.7.2. I didn't want to bogged down the login nodes if I want to do a projection of an 800 cube Enzo data, so dd=pf.h.all_data() was as far as I got with the 800 cube. I get channel 3: open failed: connect failed: Connection refused When I tried it on an interactive node and using a browser trying to connect to the compute node. Is reason only limited to the login nodes due to supercomputer security with the compute nodes? From G.S.
Hi Geoffrey, On Tue, Mar 6, 2012 at 1:33 AM, Geoffrey So <gsiisg@gmail.com> wrote:
Hi yt-dev,
I was giving reason a spin, and everything went smoothly, I was able to launch reason on Nautilus and Lens, and I tried it out with Safari 5.1.1, Firefox 7.0.1, and Chrome 17.0.963.65 installed under OS X 10.7.2. I didn't want to bogged down the login nodes if I want to do a projection of an 800 cube Enzo data, so dd=pf.h.all_data() was as far as I got with the 800 cube. I get
channel 3: open failed: connect failed: Connection refused
When I tried it on an interactive node and using a browser trying to connect to the compute node. Is reason only limited to the login nodes due to supercomputer security with the compute nodes?
The ssh tunnel will only connect to the machine you're ssh'd into; it won't work with interactive queues. To get around this, we'll need to implement a client/server functionality. I've been looking at how to do this for things like volume rendering, so that a reason session can drive a set of render nodes. I think for your purposes maybe you could project in advance and then use reason to view the projection. Also, why are you taking all_data if you want to project? It should be memory conservative for an 800^3 box if you actually *do* project, by right clicking on the output file in the list of outputs. -Matt
From G.S.
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"Also, why are you taking all_data if you want to project?" Ah I must have been trying to do something else besides project. "It should be memory conservative for an 800^3 box if you actually *do* project, by right clicking on the output file in the list of outputs." I first tried to use the GUI like a iyt terminal by doing: pc = PlotCollection(pf) # defaults to center at most dense pointpc.add_projection("Density", 0, weight_field="Density") # 0 = x-axis But I guess I can't do that because the GUI just gets stuck, I then tried the right clicking the output file on the left side of the GUI after restarting reason and that worked just fine. Thanks! From G.S. On Tue, Mar 6, 2012 at 4:29 AM, Matthew Turk <matthewturk@gmail.com> wrote:
Hi Geoffrey,
On Tue, Mar 6, 2012 at 1:33 AM, Geoffrey So <gsiisg@gmail.com> wrote:
Hi yt-dev,
I was giving reason a spin, and everything went smoothly, I was able to launch reason on Nautilus and Lens, and I tried it out with Safari 5.1.1, Firefox 7.0.1, and Chrome 17.0.963.65 installed under OS X 10.7.2. I didn't want to bogged down the login nodes if I want to do a projection of an 800 cube Enzo data, so dd=pf.h.all_data() was as far as I got with the 800 cube. I get
channel 3: open failed: connect failed: Connection refused
When I tried it on an interactive node and using a browser trying to connect to the compute node. Is reason only limited to the login nodes due to supercomputer security with the compute nodes?
The ssh tunnel will only connect to the machine you're ssh'd into; it won't work with interactive queues.
To get around this, we'll need to implement a client/server functionality. I've been looking at how to do this for things like volume rendering, so that a reason session can drive a set of render nodes. I think for your purposes maybe you could project in advance and then use reason to view the projection.
Also, why are you taking all_data if you want to project? It should be memory conservative for an 800^3 box if you actually *do* project, by right clicking on the output file in the list of outputs.
-Matt
From G.S.
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participants (2)
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Geoffrey So -
Matthew Turk