Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning

2 code implementations • 24 Sep 2021 • Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori, Taha Shahroodi, Sreenivas Subramoney, Onur Mutlu

In this paper, we make a case for designing a holistic prefetch algorithm that learns to prefetch using multiple different types of program context and system-level feedback information inherent to its design.

reinforcement-learning Reinforcement Learning (RL)

Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching

1 code implementation • 1 May 2022 • Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna

To reduce vocabulary size, we use fine-grained address segmentation as input.

Segmentation

TransforMAP: Transformer for Memory Access Prediction

no code implementations • 29 May 2022 • Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori, Rajgopal Kannan, Viktor K. Prasanna

Data Prefetching is a technique that can hide memory latency by fetching data before it is needed by a program.