Viewing posts from October, 2017
Sam Mahalingam, Chief Technical Officer at Altair, thinks much of the value of exascale computing will be provided by machine learning and other data-driven techniques.
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.
Firemap, a predictive modeling and mapping tool developed to track wildfires, is being used by California residents and first responders to help them deal with the deadliest wildfires in the state’s history.
Google has announced it is scaling up its cloud computing offerings with a new machine type that provides up to 96 virtual CPUs (cores) and 624 GB of memory.
Intel has developed a 17-qubit quantum computing chip, which the company has delivered to QuTech, its research partner in the Netherlands.
The National Institute of Advanced Industrial Science and Technology (AIST) in Tokyo has selected Fujitsu to construct the AI Bridging Cloud Infrastructure (ABCI). The system will deliver 37 double precision petaflops and will be the fastest supercomputer in Japan when it begins operations in 2018.
Chinese researchers have developed a method to measure the intelligence quotient (IQ) of AI applications and found that Google’s technology scored nearly as well as a human six-year old. The researchers also measured applications developed by Baidu, Microsoft and Apple, all of which fared less well.
A team of supercomputer programmers at Lawrence Livermore National Laboratory (LLNL) is working with Procter & Gamble to help the company design better paper products.
Altair CTO Touts Data-Driven Model for Exascale Computing
Intel Will Ship First Neural Network Chip This Year
The Intersection of HPC, Analytics, and AI: The View from Hyperion Research
HPC Modeling Used to Help Fight California Wildfires
Google Offers 96-Core Cloud Instance Using Skylake Processors