Write-through: all cache memory writes are written to main memory, even if the data is retained in the cache, such as in the example in Figure 4.11. A cache line can be in two states – valid or ...

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 ...

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 ...

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

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 ...

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

The memory hierarchy (including caches and main memory) can consume as much as 50% of an embedded system power. This power is very application dependent, and tuning caches for a given application is a ...

Editor’s Note: Demand for increasing functionality and performance in systems designs continues to drive the need for more memory even as hardware engineers balance the dynamics of system capability, ...