Statistical Pattern Based Modeling of GPU Memory Access Streams
Reena Panda, Xinnian Zheng, Jiajun Wang, Andreas Gerstlauer, Lizy K. John · 2017
Recent research studies have shown that modern GPU performance is often limited by the memory system performance. Optimizing memory hierarchy performance requires GPU designers to draw design insights based on the cache & memory behavior of end-user applications. Unfortunately, it is often difficult to get access to end-user workloads due to the confidential or proprietary nature of the software/data. Furthermore, the efficiency of early design space exploration of cache & memory systems is often limited due to either the slow speed of detailed simulation techniques or limited scope of state-of-the-art cache analytical models.