|
PRISM: Physics-Informed Machine Learning for CPU Performance Modeling
Overview of PRISM
Invention Summary:
CPU architects rely on performance models to evaluate new microarchitectural designs before hardware implementation. While cycle-accurate simulators provide highly accurate performance estimates, they require significant computational resources and can slow the exploration of large design spaces. More...
Published: 7/31/2026
|
Inventor(s): Weihang Li, Hang Liu, Santosh Pandey
Keywords(s):
Category(s): Technology Classifications, Technology Classifications > Software & Algorithms
|
|
REALM: Smarter, Faster, and More Reliable Document Re-Ranking
Workflow of recursive relevance modeling framework for LLM-based document re-ranking
Invention Summary:
Most Large Language Model LLM-based re-rankers produce single-point relevance scores without modeling uncertainty, even though LLM outputs are inherently stochastic. Treating these predictions as deterministic...
Published: 3/27/2026
|
Inventor(s): Pinhuan Wang, Hang Liu
Keywords(s):
Category(s): Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright
|
|
Tao: Microarchitecture Simulation with Machine Learning
Simulation accuracy comparison with the state-of-the-art.
Invention Summary:
Microarchitecture designers rely on simulators to validate, optimize, and manufacture hardware that meets specific design requirements. Out of the current simulators, executive-driven simulators are often slow and require a high level of expertise, trace-driven simulators...
Published: 2/20/2026
|
Inventor(s): Hang Liu, Santosh Pandey
Keywords(s):
Category(s): Technology Classifications > Artificial Intelligence & Machine Learning, Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright
|
