We implemented various cache hierarchies with some modifications and found some interesting results. We also compared various LLC Cache replacement policies for various types of Graph workloads ...

This report summarizes a user-driven intervention to stabilize a GPT session affected by repetitive errors and cache overload. The goal is to quantify performance improvements related to PDF failure ...

NVIDIA introduces new KV cache optimizations in TensorRT-LLM, enhancing performance and efficiency for large language models on GPUs by managing memory and computational resources. In a significant ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

Part 2 looks at the tradeoffs between program and data cache optimizations, and shows how to choose the best compromise. As we saw in the first two parts of this series, cache optimization is often ...

This research paper was presented at the 12 th International Conference on Learning Representations (opens in new tab) (ICLR 2024), the premier conference dedicated to the advancement of deep learning ...

Cache memory is a critical component in computing, significantly outperforming RAM by operating at speeds up to 100 times faster, with a response time of approximately a nanosecond to CPU requests.