Rollback-Free Value Prediction with Approximate Loads.
International Conference on Parallel Architectures and Compilation Techniques, Alberta, Canda, August 2014
Abstract
This paper demonstrates how to utilize the inherent error resilience of a wide range of applications to mitigate the memory wall - the discrepancy between core and memory speed. We define a new microarchitecturally-triggered approximation technique called rollback-free value prediction. This technique predicts the value of safe-to-approximate loads when they miss in the cache without tracking mispredictions or requiring costly recovery from misspeculations. This technique mitigates the memory wall by allowing the core to continue computation without stalling for long-latency memory accesses. Our detailed study of the quality trade-offs shows that with a modern out-of-order processor, average 8% (up to 19%) performance improvement is possible with 0.8% (up to 1.8%) average quality loss on an approximable subset of SPEC CPU 2000/2006.
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