Our CEO, Todd Mostak, recently completed a European roadshow with Jim McHugh, NVIDIA Vice President and General Manager of AI Systems. They traveled to Munich, London and Paris to talk about the GPU-accelerated analytics ecosystem. It was a preview of what to expect at the GPU Technology Conference in Silicon Valley, March 26-29, 2018.
MapD at the GPU Technology Conference (GTC)
Demo MapD at Booth #602
Join our talks:
- S8528: Accelerating Bioinformatics: End-to-end Computation of NASA GenLab Data with GPU Data Frame
- Venkat Krishnamurthy of MapD and Jacci Cenci of NVIDIA
- Monday March 26, 10:30am-10:55am in Room 210D
- S81008: Speed at Scale: Using GPUs to Accelerate Analytics for Extreme Use Cases
- Todd Mostak of MapD
- Monday, March 26, 1:00pm-1:25pm in Marriott Ballroom 2
- Panel Chat: How Startups Are Working With Federal Agencies
- Todd Mostak of MapD
- Tuesday, March 26, 1:30pm-1:50pm
- S8468: The Need for Speed: How the Auto Industry Accelerates Machine Learning with Visual Analytics
- Aaron Williams of MapD and Asghar Ghorbani of Volkswagen
- Tuesday March 27, 4:00pm-4:50pm in Room 210F
Highlights from the European roadshow
There was a lot of excitement around GPU analytics during our European roadshow — especially with the increased adoption of AI. Here are key takeaways:
Jim McHugh of NVIDIA noted that we’re entering a new “industrial revolution” that has been building through the previous PC and mobile eras, and now the cloud. Jim detailed how the combination of mobile with the cloud has made compute accessible anywhere, and how the combination of GPUs and deep learning that will produce truly game-changing insights.
“This opened up the modern world of AI,” McHugh said. “And it is going to spur so much progress that it will become the next industrial revolution.”
Life After Moore’s Law
Slow computing power has limited the potential of data exploration. Long query response times start to limit the questions that people ask.
In 1965, Gordon Moore predicted a yearly doubling in the number of circuits on an integrated and a decade after that, Moore revised his estimate to a 2-year doubling time. That prediction held for decades, but in 2015 Moore predicted that his law wouldn’t last another decade. The slowing of CPU growth has ushered in a new era of GPU computing and accelerated analytics.
“We realized if we could offload what is really a parallel process from the CPU and put it to the GPU, we could see eye-opening acceleration of applications,” McHugh said. “What used to be talked about as real-time is now measured in sub-seconds — the kind of time we need to have game-changing solutions.”
The Promise of Accelerated Analytics
Now any industry, from advertising to financial services to telecommunications, can benefit from those accelerated analytics. McHugh shared examples like exploring New York City taxi data, visualizing items delivered by the U.S. Postal Service and strengthening cyber security efforts to track and prevent attacks.
“Every part of the data migration, every part of the pipeline is being accelerated by solutions running on the GPU,” McHugh said. “We’re bringing the dreams of science fiction true.”