Code
Connecting The Dots With Graph Databases
Graph querying of data housed in massive data lakes and data warehouses has been part of the big data and analytics scene for many years, but it hasn’t always been a particularly easy process. …
Code
Code
Getting With The Program On Software Defined Networks
If the profit margins are under pressure among the switch and router makers of the world, their chief financial officers can probably place a lot of the blame on Nick McKeown and his several partners throughout the years. …
AI
New Optimizations Improve Deep Learning Frameworks For CPUs
Today, most machine learning is done on processors. Some would say that acceleration of learning has to be done on GPUs, but for most users that is not good advice for several reasons. …
AI
Anaconda Teams With Microsoft In Machine Learning Push
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. …
Code
Code
The Serverless Revolution Will Make Us All Developers
At Build 2017, Microsoft’s annual and influential developer event, CEO Satya Nadella introduced the idea of the “intelligent cloud” and “intelligent edge.” …
Code
What’s So Bad About POSIX I/O?
POSIX I/O is almost universally agreed to be one of the most significant limitations standing in the way of I/O performance exascale system designs push 100,000 client nodes. …
Code
Hadoop Platform Raised to Knights Landing Height
It would be surprising to find a Hadoop shop that builds a cluster based on the high-end 68+ core Intel Knights Landing processors—not just because of the sheer horsepower (read as “expense”) for workloads that are more data-intensive versus compute-heavy, but also because of a mismatch between software and file system elements. …
Code
Performance Portability on the Road to Exascale
The software ecosystem in high performance computing is set to be more complex with the leaps in capability coming with next generation exascale systems. …
Code
An OS for Neuromorphic Computing on Von Neumann Devices
Ziyang Xu from Peking University in Beijing sees several similarities between the human brain and Von Neumann computing devices. …