30 citations · 45 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
LLMD: A Large Language Model for Interpreting Longitudinal Medical Records
Robert Porter, Adam Diehl, Benjamin Pastel +7
We introduce LLMD, a large language model designed to analyze a patient's medical history based on their medical records. Along with domain knowledge, LLMD is trained on a large co…
cs.DC2019★ 13 cited
Improving Branch Prediction By Modeling Global History with Convolutional Neural Networks
Stephen J Tarsa, Chit-Kwan Lin, Gokce Keskin +2
CPU branch prediction has hit a wall--existing techniques achieve near-perfect accuracy on 99% of static branches, and yet the mispredictions that remain hide major performance gai…
cs.DC2019★ 30 cited
Branch Prediction Is Not a Solved Problem: Measurements, Opportunities, and Future Directions
Chit-Kwan Lin, Stephen J. Tarsa
Modern branch predictors predict the vast majority of conditional branch instructions with near-perfect accuracy, allowing superscalar, out-of-order processors to maximize speculat…