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GTC ON-DEMAND

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Abstract:
With the exponentially-growing deluge of data today, data lakes are pooling everywhere. So, how can you harness them for critical insights and is there an easy way to tap into the multitude of different storage systems that they''re stored in? Enter Alluxio, an agnostic and fast storage abstraction, which, when paired with deep learning and GPU-accelerated analytics yields a quick and easy way to harness the data. Join NVIDIA''s Applied Solutions Engineering (ASE) team as they walk through how to use Alluxio for fun and profit.
With the exponentially-growing deluge of data today, data lakes are pooling everywhere. So, how can you harness them for critical insights and is there an easy way to tap into the multitude of different storage systems that they''re stored in? Enter Alluxio, an agnostic and fast storage abstraction, which, when paired with deep learning and GPU-accelerated analytics yields a quick and easy way to harness the data. Join NVIDIA''s Applied Solutions Engineering (ASE) team as they walk through how to use Alluxio for fun and profit.  Back
 
Topics:
Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8569
Streaming:
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Abstract:
As the number of GPU-accelerated applications have multiplied, the needs for better development tools and services have increased as well. Chief among such services is continuous integration (CI), which dramatically improves and speeds up the development life cycle through automated builds and integration testing. CI for GPU-accelerated applications comes with its own set of challenges, but the rewards can be enormous. We'll walk through how we implemented CI for the NVIDIA GPU Cloud by leaning on open source solutions such as Jenkins, discuss the lessons we learned in the process, and demonstrate how other such systems should be built in the future.
As the number of GPU-accelerated applications have multiplied, the needs for better development tools and services have increased as well. Chief among such services is continuous integration (CI), which dramatically improves and speeds up the development life cycle through automated builds and integration testing. CI for GPU-accelerated applications comes with its own set of challenges, but the rewards can be enormous. We'll walk through how we implemented CI for the NVIDIA GPU Cloud by leaning on open source solutions such as Jenkins, discuss the lessons we learned in the process, and demonstrate how other such systems should be built in the future.  Back
 
Topics:
Accelerated Data Science, Tools & Libraries
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8563
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Abstract:

Enterprises "assume breach": someone, somewhere, already compromised them. Analysts sift through a GB/min (or more!) of attack logs from hundreds of thousands of systems. For every identified incident, they then map out the entire breach by backtracking through months of alerts. This talk shares how Graphistry and Accenture tackled the visual analytics problem: how do we explore big graphs? We'll drill into two of our GPU technologies for visualizing graphs: [1] StreamGL, our distributed real-time renderer for delivering buttery interactions, smart designs, and responsive analytics to standard web devices; [2] Node-OpenCL and our CLJS client: open source JavaScript libraries for server-side GPU scripting.

Enterprises "assume breach": someone, somewhere, already compromised them. Analysts sift through a GB/min (or more!) of attack logs from hundreds of thousands of systems. For every identified incident, they then map out the entire breach by backtracking through months of alerts. This talk shares how Graphistry and Accenture tackled the visual analytics problem: how do we explore big graphs? We'll drill into two of our GPU technologies for visualizing graphs: [1] StreamGL, our distributed real-time renderer for delivering buttery interactions, smart designs, and responsive analytics to standard web devices; [2] Node-OpenCL and our CLJS client: open source JavaScript libraries for server-side GPU scripting.

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Topics:
Big Data Analytics, Aerospace and Defense, Professional Visualisation
Type:
Talk
Event:
GTC Silicon Valley
Year:
2016
Session ID:
S6114
Streaming:
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