Researchers at MIT have created a new implementation for how the CPU cache interacts with the processor and data, by replacing the archaic fixed cache found in all modern processors. In every modern ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

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 ...

TurboQuant vector quantization targets KV cache bloat, aiming to cut LLM memory use by 6x while preserving benchmark accuracy ...

Distributed caches are used to improve the performance and scalability of applications. Typically, a distributed cache is shared by multiple application servers. In a distributed cache, the cached ...

This paper presents the architecture of a high performance level 2 cache capable of use with a large class of embedded RISC cpu cores. The cache has a number of novel features including advanced ...

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 ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...