Measuring high performance computing can be very powerful for the businesses that rely on it and the end users that directly employ it. Based on NAG’s experience helping organizations with HPC measurement, we have put together this overview of the subject for TOP500 News.
Purchasing HPC hardware and software, as well as time spent developing and supporting applications, involve numerous options and trade-offs, meaning that making optimal decisions is far from easy. In a conversation with NAG's Andrew Jones, James Reinders describes what those options and trade-offs are and how managers can reach the best decisions on how to invest.
A report this week in the New York Times describes how the growing demand for AI is forcing big web companies to ratchet up salaries in this red-hot job category and sucking up all available talent. But the technology itself may provide the final solution.
In an editorial posted on Intel’s news site, Intel CEO Brian Krzanich announced they would be releasing the company’s first AI processor before the end of 2017. The new chip, formally codenamed “Lake Crest,” will be officially known as the Nervana Neural Network Processor, or NNP, for short.
Over the last several years, the realm of high performance computing has grown appreciably beyond its roots in scientific simulations. Today it encompasses a lot more data analytics, including emerging areas like artificial intelligence, as well as more established applications like business intelligence. But, if you’re an HPC market research company like Hyperion Research, tracking the high-end analytics space is no easy task.