Developed a flexible cache simulator which implemented L1 cache, its Victim cache and L2 cache. Analyzed the performance of various memory hierarchy configurations with varying parameters and ...

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 ...

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, ...

This section describes three topics discussed in other chapters that are fundamental to memory hierarchies. Protection and Instruction Set Architecture Protection is a joint effort of architecture and ...

Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context 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 ...

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 ...

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 ...