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Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019
##This space is open for submitting proposals on data engineering, data science, machine learning, big data and analytics through the year in 2019.
We will host data events round the year, in 2019. Talks for these conferences will be selected from here. Submit a proposal any time.
##Should you have queries, write to us on fifthelephant.editorial@hasgeek.com or call us on 7676332020
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The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
VA
Vamsi A
@vamsia
Preparing AWS instances for performance and resource intensive application
Submitted Apr 17, 2018
Technical level:
Beginner
The ASR module of Samsung’s Bixby does the Speech to Text translation. The accuracy of the output depends heavily on the quality of models involved.
The ASR module processes very large models which are GBs in size. This heavy weight lifting requires high GPU processing and memory resources on the servers.
The processing capabilities required for this purpose were not available with AWS till the P2 instances were launched.
The AWS provided off-the-shelf P2 instances did not meet our need, we had to work on updating our application as well as identifying right parameters on P2 instances to get our solution work on AWS.
Outline
Kernel version
- Compared and chose the kernel best suited. Chose CentOS OS kernel version 3.10.0
- Num Channels : Latency (ms) Kernel 2.6.32 : Latency (ms) Kernel 3.10.0
- 48 : 0.945099 : 0.681114
- 42 : 0.673124 : 0.470596
- 36 : 0.516722 : 0.356459
CUDA version
- Chose right version of CUDA libraries for graphics card NVIDIA Tesla K80. Chosen CUDA 6.5 over CUDA 7.5
- Num Channels : Latency (ms) CUDA 7.5 : Latency (ms) CUDA 6.5
- 12 : 2.170836 : 1.804922
- 8 : 0.613931 : 0.543185
- 6 : 0.338785 : 0.355863
Speaker bio
Vamsi Agasthyaraju is interested in architecting and setting up cloud infrastructure for AI projects involving STT and NLP. He is a solution architect who loves to interconnect multiple cloud components, and to evaluate the right choice of technologies.
Comments
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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