The Fifth Elephant 2019

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How GPU Computing literally saved me at work

Submitted by Abhishek Mungoli (@a0m00vn) on Thursday, 6 June 2019


Preview video

Session type: Short talk of 20 mins

Abstract

Distributed/Parallel computing is at the heart of new technology. Every company, big or small want to make most of the technology available to them. One such niche technology is GPU computing. If used cautiously can save a lot of computing efforts and time across the applications. Business, with the boom in Machine learning/Deep learning techniques, are on the way to leverage this technology in their day to day work. Here, I present to you a real time application on how GPU can save computing efforts and reduce the computation time from 2 days to 20 seconds. Talk will cover the best case scenarios and use case for using the GPU for implementing recommendations at scale. The talk will start with the task overview, comparison between CPU and GPU and how and when to utilise GPU for the task in hand and other similar tasks.

Here’s the blog details, I wrote and the talk will be based on it
https://medium.com/walmartlabs/how-gpu-computing-literally-saved-me-at-work-fc1dc70f48b6

Outline

Distributed/Parallel computing is at the heart of new technology. Every company, big or small want to make most of the technology available to them. One such niche technology is GPU computing. If used cautiously can save a lot of computing efforts and time across the applications. Business, with the boom in Machine learning/Deep learning techniques, are on the way to leverage this technology in their day to day work. Here, I present to you a real time application on how GPU can save computing efforts and reduce the computation time from 2 days to 20 seconds. Talk will cover the best case scenarios and use case for using the GPU for implementing recommendations at scale. The talk will start with the task overview, comparison between CPU and GPU and how and when to utilise GPU for the task in hand and other similar tasks.

Here’s the blog details, I wrote and the talk will be based on it
https://medium.com/walmartlabs/how-gpu-computing-literally-saved-me-at-work-fc1dc70f48b6

Speaker bio

A seasoned Data Scientist having 3+ years of experience in ML field, with Computer Science background, spanning over various domains and problem-solving mindset. Excelled in various Machine learning and Optimization problems specific to Retail with key interests in Markdowns, Price-elasticity, Item-embeddings, Item-linkage and Price Investment. Enthusiastic about implementing Machine Learning models at scale and knowledge sharing via blogs, talks, and meetups, etc..
Love to explore new places and working out in leisure time.
Medium ~ https://medium.com/@mungoliabhishek81

Links

Slides

https://www.slideshare.net/abhishekmungoli81/how-gpu-computing-literally-saved-me-at-work

Preview video

https://youtu.be/zU-s1PSW7B4

Comments

  • Abhishek Balaji (@booleanbalaji) Reviewer 20 days ago

    Hi Abhishek,

    Thank you for submitting a proposal. We need to see detailed slides and a preview video to evaluate your proposal. Your slides must cover the following:

    • Problem statement/context, which the audience can relate to and understand. The problem statement has to be a problem (based on this context) that can be generalized for all.
    • What were the tools/frameworks available in the market to solve this problem? How did you evaluate these, and what metrics did you use for the evaluation? Why did you pick the option that you did?
    • Explain how the situation was before the solution you picked/built and how it changed after implementing the solution you picked and built? Show before-after scenario comparisons & metrics.
    • What compromises/trade-offs did you have to make in this process?
    • What is the one takeaway that you want participants to go back with at the end of this talk? What is it that participants should learn/be cautious about when solving similar problems?

    We need your updated slides and preview video by Jun 17, 2019 May to evaluate your proposal. If we do not receive an update, we’d be moving your proposal for evaluation under a future event.

  • Abhishek Balaji (@booleanbalaji) Reviewer 10 days ago

    Marked as rejected since proposer hasnt responded to comments/updated content before deadline. Will be considered for a future event if content is updated.

    • Abhishek Mungoli (@a0m00vn) Proposer 9 days ago

      I was going to upload it now. Mail said by 17th June and today is the last day. I am done wit ppt and video. Please consider

      • Abhishek Mungoli (@a0m00vn) Proposer 9 days ago

        The mail says June17 , doesn’t say June 17 6pm.
        Please consider. I am ready with slides & video.

        • Abhishek Balaji (@booleanbalaji) Reviewer 9 days ago

          Sure, do upload and we’ll consider the proposal.

          • Abhishek Mungoli (@a0m00vn) Proposer 9 days ago

            Thanks :) Done. Please consider.

  • Abhishek Mungoli (@a0m00vn) Proposer 9 days ago

    I was going to upload it now. Mail said by 17th June and today is the last day. I am done wit ppt and video. Please consider

  • Abhishek Balaji (@booleanbalaji) Reviewer 2 days ago

    Thanks, Abhishek. The proposal in its current form would not be useful for the audience at The Fifth Elephant. However, we are planning to have a showcase session where you can present a short talk on things you’ve built and get feedback from the audience. Would you be interested in this? If not, we can consider the blog post you’ve written for a submission in The Fifth Elephant blog.

  • Abhishek Mungoli (@a0m00vn) Proposer a day ago

    Hey,
    Thanks for the feedback. I would suggest let’s get on a quick call for me to get better understanding of the format for short talk you mentioned. We can take it forward from there.
    Feel free to get in touch with me anytime on below number or kindly share your contact details for the same.
    Best,
    Abhishek M
    9774811507

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