sipherhex

6 ms·

1.
by sipherhex 6y ago
Disclosure: I work at NVIDIA. This is a developing area with a number of research and development efforts ongoing looking at basic packet filtering flows, for example: https://ieeexplore.ieee.org/document/7019193 http
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by sipherhex 7y ago
> The kicker is the winds never arrived. Winds over 60mph on the ridges. https://www.wunderground.com/dashboard/pws/KCALOSGA177/graph... We had 40+mph winds at our home all night. Based on previous experie
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by sipherhex 7y ago
There are many good reasons to embrace better integration with open source. I think the benefits like helping users with custom/broad distro needs and increasing the velocity of collaboration with the ecosystem and partners outweighs f
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by sipherhex 8y ago
The first part of your statement is generally accurate. However, the article is discussing tariffs the US has chosen. This is not something China is doing.
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by sipherhex 9y ago
Be careful with the non-CUDA 9 AMIs. CUDA 8 programs will run, but terribly slowly as they JIT their GPU code without optimization for Volta. You want the CUDA 9 AMI version ( https://aws.amazon.com/marketplace/pp/B
6.
by sipherhex 9y ago
Chris from NV here. You can also get a full compliment of DL framework containers, as well as CUDA 9/CuDNN 7/NCCL 2 base container, optimized for Volta by NVIDIA via this AMI https://aws.amazon.com/marketplace&#x2
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by sipherhex 9y ago
Given the description of your workaround, you may be running into an issue of long GPU driver load times for the nvidia driver. If that is the root cause the recommended solution for this is nvidia-persistenced, though it seems you may have
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by sipherhex 9y ago
"With independent, parallel integer and floating point datapaths, the Volta SM is also much more efficient on workloads with a mix of computation and addressing calculations" https://devblogs.nvidia.com/parallelfor
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by sipherhex 11y ago
nvprof is still a command line profiler, and has even more features.
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by sipherhex 12y ago
Disclaimer: I work in the GPU industry. If you're interested in the architecture of a GPU this Berkeley ParLab presentation by Andy Glew from 2009 covers the basics of how the compute cores in modern GPUs handle threading. It's a