The rapid progression of technology has led to a huge increase in energy usage to process the massive troves of data generated by devices. But researchers in the Cockrell School of Engineering at ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems. Working with big data can ...

Known as MapD, or massively parallel database, the new technology achieves big speed gains by storing the data in the onboard memory of graphics processing units (GPUs) instead of in central ...

4 steps to implementing high-performance computing for big data processing Your email has been sent If your company needs high-performance computing for its big data, an in-house operation might ...

There is little doubt that big data is a big deal these days and companies are popping up to help customers process the data. Databricks hopes to simplify the entire matter by moving it to the ...

Operations on the RDDs can also be split across the cluster and executed in a parallel batch process, leading to ... Ian Pointer is a senior big data and deep learning architect, working with ...

In computing, this cuts down on energy use in processing data. Incorvia explains that the way computers operate is fundamentally changing. A major trend is the concept of neuromorphic computing, which ...