Intel is transforming the future of high-performance computing (HPC) with new tools for innovation and discovery. At this year’s International Supercomputing Conference in Frankfurt, Intel is sharing updates to its HPC product portfolio that includes SDVis Appliance, a new turnkey solution for optimizing visualization, the upcoming Intel® Xeon® Scalable processor to enable new levels of performance and scalability, optimizations to the Intel® Omni-Path Architecture (Intel® OPA), an end-to-end fabric solution, and Intel’s upcoming extension to Intel® Xeon Phi™ with Knights Mill, the first CPU tool targeted for deep learning model training.
Intel demonstrates future of high performance computing and artificial intelligence capabilities at ISC 17. (Credit: Felix Matthies)
Trish Damkroger, Intel’s Vice President and General Manager of the Data Center Group for Technical Computing Initiative, Enterprise and Government, presents a keynote on Monday, June 19, 2017 at ISC 17 where she discusses how the upcoming Intel Xeon Scalable Processors will advance HPC capabilities for workload optimization. (Credit: Felix Matthies)
Stephan Gillich, Intel Germanys Director of Technical Computing for GTM EMEA, presents a workshop where he discusses market opportunities for HPC, HPDA and AI, and shares how Intels technologies and solutions are helping to power those new markets. (Credit: Felix Matthies)
Raj Hazra, Intel’s Corporate Vice President and General Manager, of the Enterprise and Government Group, presents a keynote on Monday, June 19, 2017 at ISC 17.As part of his presentation, Hazra shared Intel’s plans to further advance HPC systems with built-in high-performance data analytics by combining traditional HPC with artificial intelligence (AI). He explained that by integrating Intel’s upcoming products targeted for AI applications, HPC systems can deliver faster workloads at a lower cost. (Credit: Felix Matthies)
Pradeep Dubey, an Intel Fellow at Intel Labs, discussed in-depth the growing value of AI and Intel’s AI technology portfolio, which is accelerating adoption across a broad range of industries. (Credit: Felix Matthies)
Intel demonstrated how high-content imaging application harnesses AI to improve treatments and better understanding in life sciences. Intel showcased this capability by demonstrating an Intel Xeon Phi processor-based solution including Intel’s latest AI software optimizations for Caffe which can be used to significantly reduce the time to train an AI model. (Credit: Felix Matthies)
