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GTC ON-DEMAND

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Abstract:

We'll explain how Brytlyt became the first vendor to use a GPU-Accelerated SQL database to run the TPC-H benchmark. TPC-H, a decision-support benchmark for a SQL database, consists of a suite of business-oriented ad-hoc queries using data with broad industry-wide relevance. We'll explain how it illustrates decision-support systems that examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions. We'll also discuss our Brytlyt GPU database and analytics platform, which is based on the open source PostgreSQL database.

We'll explain how Brytlyt became the first vendor to use a GPU-Accelerated SQL database to run the TPC-H benchmark. TPC-H, a decision-support benchmark for a SQL database, consists of a suite of business-oriented ad-hoc queries using data with broad industry-wide relevance. We'll explain how it illustrates decision-support systems that examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions. We'll also discuss our Brytlyt GPU database and analytics platform, which is based on the open source PostgreSQL database.

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Topics:
Consumer Engagement & Personalization, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9373
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Abstract:
This session will describe Recursive Interaction Probability (RIP) and why it is a pretty cool algorithm. Time will be spent on benchmark analysis against other algorithms as well as performance within an operational database. The presentation will end with how RIP was implemented on a NVIDIA Kepler K20c, the design choices and how these affect performance. Use cases that play to the strengths of RIP as well as use cases that reveal its weaknesses will also be shared.
This session will describe Recursive Interaction Probability (RIP) and why it is a pretty cool algorithm. Time will be spent on benchmark analysis against other algorithms as well as performance within an operational database. The presentation will end with how RIP was implemented on a NVIDIA Kepler K20c, the design choices and how these affect performance. Use cases that play to the strengths of RIP as well as use cases that reveal its weaknesses will also be shared.   Back
 
Topics:
Big Data Analytics, Numerical Algorithms & Libraries, Clusters & GPU Management
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4483
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Abstract:

Topics covered in this session include: Big data analytics & data algorithms, clusters & GPU management 

 

Panelists: Scott Budman (Business & Technology Reporter, NBC) Jeff Herbst (Vice President of Business Development, NVIDIA) Jens Hortsmann (Executive Producer & Managing Partner, Crestlight Venture Productions) Pat Moorhead (President and Principal Analyst, Moor Insights & Strategy) Bill Reichert (Managing Director, Garage Technology Ventures)

Topics covered in this session include: Big data analytics & data algorithms, clusters & GPU management 

 

Panelists: Scott Budman (Business & Technology Reporter, NBC) Jeff Herbst (Vice President of Business Development, NVIDIA) Jens Hortsmann (Executive Producer & Managing Partner, Crestlight Venture Productions) Pat Moorhead (President and Principal Analyst, Moor Insights & Strategy) Bill Reichert (Managing Director, Garage Technology Ventures)

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Topics:
Emerging Companies Summit, Big Data Analytics, Clusters & GPU Management
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
ECS402
Streaming:
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