Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can ...

One of the greatest challenges facing the designers of many-core processors is resource contention. The chart below visually lays out the problem of resource contention, but for most of us the idea is ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

System-on-a-Chip (SoC) designers have a problem, a big problem in fact, Random Access Memory (RAM) is slow, too slow, it just can’t keep up. So they came up with a workaround and it is called cache ...

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 ...

The cost associated with moving data in and out of memory is becoming prohibitive, both in terms of performance and power, and it is being made worse by the data locality in algorithms, which limits ...