To solve real-world discrete optimization problems approximately metaheuristics such as simulated annealing and other local search methods are commonly used. For large instances o...
- In this paper we experiment with two optimization techniques we are considering implementing in a parallelizing compiler that generates parallel code for a distributed-memory sys...
Program dynamic optimization, adaptive to runtime behavior changes, has become increasingly important for both performance and energy savings. However, most runtime optimizations o...
Cray X1 Fortran and C/C++ compilers provide a number of loop transformations, notably vectorization and multistreaming, in order to exploit the multistreaming processor (MSP) hard...
For most parallel and high performance systems, tuning guides provide the users with advices to optimize the execution time of their programs. Execution time may be very sensitive...