05. GPU Approximation Acceleration For Scientific Applications
Event Type
Poster
TimeTuesday, November 15th8:30am - 5pm
LocationLower Lobby Concourse
DescriptionApproximate computing, the technique that sacrifices certain amount of accuracy in exchange for substantial performance boost or power reduction, is one of the most promising solutions to enable power control and performance scaling towards exascale. In this poster, we introduce a transparent, tractable, and portable design framework for SFU-driven approximate acceleration on GPUs, providing fine-grained tuning for performance and accuracy trade-offs. Our design is software-based and requires no hardware or application modifications.
Archive
