Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

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

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 ...

In the world of computing, one of the unexpected things to marvel at is the rapid adoption of artificial intelligence (AI) and cloud computing in data centers. These and other forces are driving ...

Cache, in its crude definition, is a faster memory which stores copies of data from frequently used main memory locations. Nowadays, multiprocessor systems are supporting shared memories in hardware, ...

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 ...