Many people have heard the term cache coherency without fully understanding the considerations in the context of system-on-chip (SoC) devices, especially those using a network-on-chip (NoC). To ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

“Modern data-driven applications expose limitations of von Neumann architectures – extensive data movement, low throughput, and poor energy efficiency. Accelerators improve performance but lack ...

The more cache memory a computer has, the faster it runs. However, because of its high-speed performance, cache memory is more expensive to build than RAM. Therefore, cache memory tends to be very ...

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 ...

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 ...

Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...