Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

A cache is a special storage space for temporary files that makes a device, browser, or app run faster and more efficiently. After opening an app or website for the first time, a cache stashes files, ...

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

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

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

Magneto-resistive random access memory (MRAM) is a non-volatile memory technology that relies on the (relative) magnetization state of two ferromagnetic layers to store binary information. Throughout ...

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...

A Cache-Only Memory Architecture design (COMA) may be a sort of Cache-Coherent Non-Uniform Memory Access (CC- NUMA) design. not like in a very typical CC-NUMA design, in a COMA, each shared-memory ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...