Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

One way of viewing efforts by storage suppliers to move into data management over the past couple of years is that storage technology is emerging from the backroom and wants to be at the centre of ...

Advanced Micro Devices Inc. is expanding its product portfolio with an array of new processors designed for use in data centers and personal computers. AMD Chief Executive Officer Lisa Su (pictured) ...

Many computational endeavors benefit from some form of parallelization, and SLURM provides a way to do “embarrassingly parallel” processing relatively simply (read more about parallelization).

Wichita Falls City Councilors will hold public hearings Tuesday, February 3, to consider the demolition of 11 buildings, a ...

Imagine you’re tasked with analyzing two datasets—one containing a list of products and another with customer segments. How do you uncover every possible pairing to identify untapped opportunities?

Navigating the world of Excel can sometimes feel like trying to solve a puzzle with missing pieces. If you’ve ever found yourself wrestling with the XLOOKUP function, only to be met with a chaotic ...

A technical paper titled “Massive Data-Centric Parallelism in the Chiplet Era” was published by researchers at Princeton University. “Traditionally, massively parallel applications are executed on ...