When Jim Keller talks about compute engines, you listen. And when Keller name drops a programming language and AI runtime environment, as he did in a recent interview with us, you do a little research and you also keep an eye out for developments. …
AI is arguably the most important kind of HPC in the world right now in terms of providing immediate results for immediate problems, and particularly for enterprises with lots of data and a desire to make money in a new economy that does not fit models and forecasts before the coronavirus pandemic. …
At this nascent stage of quantum computing, each of the limited hardware/device makers have their own software stacks. …
When it comes to neural network training, Python is the language of choice. …
A collaboration of researchers from the University of California Davis, the National Energy Research Scientific Computing Center, and Intel are working together on the DisCo project to extract insight from complex unlabeled data. …
Enterprises that want to leverage the huge amounts of data they are generating to gain useful insights and make faster and better business decisions are going to have to use machine learning at scale for modeling and training. …
Microsoft is embedding Anaconda’s Python distribution into its Azure Machine Learning products, the latest move by the software vendor to expand its capabilities in the fast-growing artificial intelligence space and an example of Anaconda extending its reach beyond high performance computing and into AI. …
Over the last couple of years, much work has been shifted into making FPGAs more usable and accessible. …
With the current data science boom, many companies and organizations are stepping outside of their traditional business models to scope work that applies rigorous quantitative methodology and machine learning – areas of analysis previously in the realm of HPC organizations. …
While Python has steadily been winding its way into an increasing number of enterprise settings over the last several years, in high performance computing, which tends to be dominated by lower-level programming approaches, it was overlooked in favor of a never-ending string of MPI and Fortran tweaks for performance reasons. …
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