Local ratio is a well-known paradigm for designing approximation algorithms for combinatorial optimization problems. At a very high level, a local-ratio algorithm first decomposes ...
Cache locality optimization is an efficient way for reducing the idle time of modern processors in waiting for needed data. This kind of optimization can be achieved either on the...
We present a compiler optimization approach that uses the simulated evolution (SE) paradigm to enhance the finish time of heuristically scheduled computations with communication t...
Content-based dissemination of XML data using the publishsubscribe paradigm is an effective means to deliver relevant data to interested data consumers. To meet the performance ch...
Instruction combining is an optimization to replace a sequence of instructions with a more efficient instruction yielding the same result in a fewer machine cycles. When we use it...