The New Year promises to be a very good one for graphical processing units (GPUs), according to Eric Mizell, Vice President, Global Solutions Engineering at Kinetica. Mizell offered his thoughts on four trends we can expect to see.

Real Change is Coming to Real-time Intelligence in 2017 with GPUs

“Graphical Processing Units (GPUs) are capable of delivering up to 100-times better performance than even the most advanced in-memory databases that use CPUs alone,” Mizell explains. “The reason is their massively parallel processing, with some GPUs containing over 4,000 cores, compared to the 16-32 cores typical in today’s most powerful CPUs. The small, efficient cores are also better suited to performing similar, repeated instructions in parallel, making GPUs ideal for accelerating the compute-intensive workloads required for analyzing large streaming data sets in real-time.”

The Cloud will get “turbo-charged” performance with GPUs

“Amazon has already begun deploying GPUs, and Microsoft and Google have announced plans,” Mizell says. “These cloud service providers are all deploying GPUs for the same reason: to gain a competitive advantage. Given the dramatic improvements in performance offered by GPUs, other cloud service providers can also be expected to begin deploying GPUs in 2017.”

GPU-accelerated databases will achieve enterprise-class capabilities

“Certain enhancements in security and availability that are expected in 2017 will build on the foundation of the GPU’s proven performance and scalability to make their use enterprise-class,” Mizell says. “For security, support for user authentication, and role-and group-based authorization will make GPU acceleration suitable for applications that must comply with security regulations, including those requiring personal privacy protections. For availability, data replication with automatic failover capabilities will make GPU-accelerated databases sufficiently reliable for even the most mission-critical of applications.”

The Cognitive Era of computing will make its debut

“The Cognitive Era of computing will make it possible to converge artificial intelligence, business intelligence, machine learning and real-time analytics in various ways that will make real-time intelligence a reality,” Mizell stresses. “Such ‘speed of thought’ analyses would not be possible were it not for the unprecedented performance afforded by hardware acceleration of in-memory data stores. By delivering extraordinary performance without the need to define a schema or index in advance, GPU acceleration provides the ability to perform exploratory analytics that will be required for cognitive computing.”

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