This article aims to tackle two fundamental memory bottlenecks: limited off-chip bandwidth
(bandwidth wall) and long access latency (memory wall). To achieve this goal, our approach
exploits the inherent error resilience of a wide range of applications. We introduce an
approximation technique, called Rollback-Free Value Prediction (RFVP). When certain safe-
to-approximate load operations miss in the cache, RFVP predicts the requested values.
However, RFVP does not check for or recover from load-value mispredictions, hence …

… – Many GPU applications are amenable to approximation – Data value similarity allows
to efficiently predict values of cache misses … Predict values for safe-to-approximate loads
when they miss in the cache … – Many GPU applications are amenable to approximation –
Data value similarity allows to efficiently predict values of cache misses …