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, ...

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 ...

Cache memory significantly reduces time and power consumption for memory access in systems-on-chip. Technologies like AMBA protocols facilitate cache coherence and efficient data management across CPU ...

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 ...

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 ...

System-on-chip (SoC) architects have a new memory technology, last level cache (LLC), to help overcome the design obstacles of bandwidth, latency and power consumption in megachips for advanced driver ...

The gap between the performance of processors, broadly defined, and the performance of DRAM main memory, also broadly defined, has been an issue for at least three decades when the gap really started ...

Magneto-resistive random access memory (MRAM) is a non-volatile memory technology that relies on the (relative) magnetization state of two ferromagnetic layers to store binary information. Throughout ...