15-740 Fall '99
Class Projects

Here are the class projects for 1999 (in no particular order):

Prediction Techniques:

• Multi-Branch Prediction using the GShare Algorithm. Mengzhi Wang and Yinglian Xie.
• Branch Prediction using Probabilistic Machine Learning. Paul Bennett, Caitlin Kelleher and Stephen McCracken.
• Genetic Programming for Value Prediction. Laurie Hiyakumoto and Elly Winner.
• Genetic Algorithms for Data Value Prediction. Scott R Lenser and Desney S Tan.

Improving Memory Hierarchy Performance:

• Using Data Mining Techniques to Improve Trace Cache Performance. Weng-Keen Wong and Dan Pelleg.
• Memory Support for Prefetching. Anubhav Gupta and Georgios Sapoungis.
• Instruction Prefetching and Object-Oriented Programs. An-Cheng Huang and Leejay Wu.

Applications and Architectures:

• Understanding Database Performance on Modern Computer Systems. Shimin Chen and Tiankai Tu.
• Exploiting a Reconfigurable Architecture to Perform Template Matching. Nathaniel Daw and Dennis Strelow.

Optimizing the Use of the Instruction Set:

• Automatically Identifying Opportunites for Using Multimedia Instructions. Edward Hogan, Glenn Judd and Shafeeq Sinnamohideen.
• Optimizing Redundant Loads. Dominic Mazzoni and Sagar Chaki.
• Opportunities for Exploiting Fused Instructions. Bryan Singer and Ke Yang.