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An MIT research project turned open source project dubbed the Massively Parallel Database (Map-D) is turning heads for its capability to generate visualizations on the fly from billions of data points. The software—an SQL-based, column-oriented database that runs in the memory of GPUs—can deliver interactive analysis of 10TB datasets with millisecond latencies. For this reason, its creator feels comfortable is calling it “the fastest database in the world.”
During his keynote this week at the GPU Technology Conference, NVIDIA CEO, Jen-Hsun Huang provided a few potent examples of how web-driven big data applications are pushing their real-time delivery envelope by adding GPUs into the fray. Among these users are audio recognition service, Shazam, which….
Python is finding its way into an ever-expanding set of use cases that fall into both the high performance computing and big data buckets.
GPUs have stirred some vicious waves in the supercomputing community, and these same performance boosts are being explored for large-scale data mining by a number of enterprise users. During our conversation with NVIDIA’s Tesla senior manager for high performance computing, Sumit Gupta, we explored how traditional data…
This week we saw a number of stories unfolding from companies like Dell, which is pushing its data warehousing appliance for mid-market customers; Convey, which gave big data genomics a GPU boost for Iowa State University; more genomics news from Intel; as well as some key announcements from smaller companies seeking to alleviate data-intensive computing burdens for those in financial services and government….
News In Brief
GPU-driven companies like NVIDIA have been emphasizing the practical application of GPU computing in enterprise settings—and this year at their annual GTC conference, there are several compelling sessions for the business intelligence and….
This Just In
NVIDIA today unveiled the NVIDIA Tesla K40 GPU accelerator, the world’s highest performance accelerator ever built, delivering extreme performance to a widening range of scientific, engineering, high performance computing (HPC) and enterprise applications.