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computer hardware
Posted 2010年11月9日 GMT-5 12:59 Version 4.1 1 Reply
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The basic specifications on the computer I have in mind are listed below:
Processors: - 4 x Eight-Core AMD Opteron™ Model 6128 - 2.0GHz 8x512KB L2 + 12MB L3 Cache (80W)
Motherboard: - Supermicro H8QGi-F - SWTX - AMD SR5690+SR5670 Chipset
RAM: - 16 x 8GB PC3-10600 1333MHz DDR3 ECC Registered
Graphics: - PNY NVIDIA Quadro FX 580 512MB GDDR3 (2xDP, 1xDVI-I)
128GB of RAM was chosen because I need much more than my current 8GB, and that seemed like a good choice on the price curve. There are enough expansion slots on the motherboard to double the RAM.
Estimating run time:
I don't really know how to estimate the amount of time it would take to solve a problem that actually used that much RAM. I think that generally the 3D RF problems use iterative solvers, though there may be some problems that require direct solvers. Apparently, the new transition boundary condition in the RF module requires a direct solver. I've been told that for an extra $1500 I can get 4x12core 1.9GHz processors. Since I don't have any idea how long a 128GB problem would take to solve, I don't know if it makes sense to increase the number of cores. If more cores would save me 20min on an hour long problem, I wouldn't bother with the extra cores. If it would save me 5 days on a 15 day problem, then it's definitely worth it!
Can anyone recommend an appropriate way to estimate the run times of large models and benefits of more cores for these problems?
Graphics card:
I also don't know if very large models require substantially more memory on the graphics card. It seems like the size of the model shouldn't impact the requirements of the graphics card too much, but I'm not sure. Does anyone have a recommendation for how much memory must be on the graphics card in order to work with large models?
Thanks very much for any insight into these questions!
Hello Steven Hurst
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