Batch size has a significant impact on both latency and cost in AI model training and inference. Estimating inference time ...

What happens when cache doubles across all cores? A desktop processor design focuses on reducing memory bottlenecks in ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost processor performance by improving memory management. The tool, called ...

Complex chips need coherent and non-coherent sub-NoCs to ensure efficient data paths. Correct hierarchy is essential.

An AI tool improves processor speed by studying cache use and helping make memory decisions without repeated testing and tuning.

If you bought some slow RAM to save money during the ongoing RAMageddon, you could manually overclock it to achieve greater memory performance. Alternatively, you could use an automatic overclock tool ...

DeepSeek just fired a warning shot at AI rivals by slashing API prices by up to 90% amid soaring enterprise token usage.

Speaking to the German media outlet PC Games Hardware about Intel's plans to compete with AMD's X3D line of gaming CPUs, Vice ...

Unveiled at Google’s annual Next event, the pair showcased using Managed Lustre as a shared cache layer across inference ...

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

In C++, the choice of data structures and memory management strategies can make or break performance. From cache-friendly struct layouts to picking between arrays and vectors, every decision impacts ...

Arm Performix enables developers to scale performant, efficient AI agent experiences by unifying performance insights and optimization across the Arm compute platform. Arm Perform ...