The energy crisis in computing presents a daunting challenge, but it also creates a pivotal opportunity for transformative ...

To satiate the power demands of data centers using AI, engineers are turning to gallium-nitride-based high-voltage solutions.

These risks are unevenly distributed and both create new inequities ... people with mobility challenges, the poor and isolated, Black and Indigenous populations and other people of color, certain ...

“It’s no small task, and without the right technical expertise and processes in place, resolving end-user computing challenges and securing the devices can be time-consuming and frustrating ...

Abstract: Distributed Map Reduce computing frameworks, such as Hadoop, Spark, and Flink, are widely used in various domains which face big data challenges. Inside Map Reduce, Shuffle is a critical ...

Abstract: Ghost cells are important for distributed memory parallel operations that require neighborhood information, and are required for correctness on the boundaries of local data partitions. Ghost ...