Server consolidation is becoming an increasingly important part of major semiconductor device manufacturer Advanced Micro Devices Inc.’s reach, according to Kumaran Siva (pictured), corporate vice ...

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 be ...

Nvidia Corp. is targeting more demanding artificial intelligence workloads with the launch of its first-ever Arm-based central processing unit for the data center. Called “Grace,” the new CPU ...

If you've ever gotten a more spacious closet, a larger desk, or even a bigger house, you've probably been surprised at how quickly it fills up and no longer seems quite big enough. Business computers ...

The GPU juggernaut is taking its computing ambitions a step further with the reveal of an Arm-based data center CPU it says will provide 10 times faster AI performance than AMD’s 64-core EPYC Rome ...

An increasing amount of information-data, voice and video-is being transferred across Internet-based networks to a wide variety of embedded systems. But Internet protocols require data transfer in ...

(1) The first industry title. From the early 1900s to the 1960s, data processing was tabulating machines and punch card processing. Thereafter, it referred to computer processing. By the 1980s, the ...

Researchers from the University of California, Riverside, found that health impacts from pollution associated with California ...

Since modern machine learning came onto the scene, the push has been on to make workloads leveraging the technologies as efficient as possible. Given what these applications are being asked to do – ...

The central processing unit (CPU) is either a dedicated integrated circuit (IC) or intellectual property (IP) core on an IC that processes logic and math. A CPU can handle high-level provisioning of ...

Multi-core processors theoretically can run many threads of code in parallel, but some categories of operation currently bog down attempts to raise overall performance by parallelizing computing. Is ...