Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Most image processing algorithms can be parallelized by splitting parallel loops and by using very few communication patterns. Code parallelization using MPI still involves much p...
Parallel programs that use critical sections and are executed on a shared-memory multiprocessor with a writeinvalidate protocol result in invalidation actions that could be elimin...
Using traditional software profiling to optimize embedded software in an MPSoC design is not reliable. With multiple processors running concurrently and programs interacting, trad...
We study the problem of optimal preemptive scheduling with respect to a general target function. Given n jobs with associated weights and m ≤ n uniformly related machines, one a...