Intel Corporation

Jack Liu

Dong-Yuan Chen

Chunling Hu

A machine learning technique is used to improve dynamic prediction of processor utilization for multi-threaded user-level applications in a dynamic run-time environment based on processor utilization history. Processor supply voltage and processor clock frequency may be dynamically scaled based on the predicted processor utilization in order to reduce processor power consumption.

Method and apparatus for dynamic voltage and frequency scaling

Data locality optimization through object relocation may be implemented in a virtual machine including a just-in-time compiler. The just-in-time compiler generates load instruction maps for each compiled method. A profile collector is coupled to the just-in-time compiler to receive hardware profiling support. The profile collector takes samples of data cache misses. A garbage collector is coupled to the profile collector. The garbage collector deduces types of objects from the cache miss samples and adjusts garbage collection object copying heuristics to relocate objects for better cache locality based on those types.

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San Jose, CA, United States of America

Jack Liu