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

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

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — without the hours of GPU training that prior methods required.

When talking about CPU specifications, in addition to clock speed and number of cores/threads, ' CPU cache memory ' is sometimes mentioned. Developer Gabriel G. Cunha explains what this CPU cache ...

The year so far has been filled with news of Spectre and Meltdown. These exploits take advantage of features like speculative execution, and memory access timing. What they have in common is the fact ...

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 ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

Modern multicore systems demand sophisticated strategies to manage shared cache resources. As multiple cores execute diverse workloads concurrently, cache interference can lead to significant ...

In the early days of computing, everything ran quite a bit slower than what we see today. This was not only because the computers' central processing units – CPUs – were slow, but also because ...

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 ...