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Increasing power densities have led to the dark silicon era, for which heterogeneous multicores with different power and performance characteristics are promising architectures. This paper focuses on maximizing the overall system performance under a critical temperature constraint for heterogeneous tiled multicores, where all cores or accelerators inside a tile share the same voltage and frequency...
Loop parallelization techniques for massively parallel processor arrays using one-level tiling are often either I/O- or memory-bounded, exceeding the target architecture's capabilities. Furthermore, if the number of available processing elements is only known at runtime — as in adaptive systems — static approaches fail. To solve these problems, we present a hybrid compile/runtime technique to symbolically...
Fault tolerance is a basic necessity to make today's complex systems reliable. Adequate fault tolerance, however, demands a high degree of redundancy, possibly wasting resources when the fault probability is low or when some applications do not require fault tolerance. Under the term adaptive fault tolerance, we investigate means to instead provide on-demand fault tolerance on multi-core systems dynamically...
This paper presents a first solution to the unsolved problem of symbolically scheduling a given loop nest with uniform data dependences using inner loop parallelization, in particular, the locally parallel, globally sequential (LPGS) mapping technique. This technique is needed in the case of loop program specifications for which the iterations shall be scheduled on a processor array of unknown size...
Choosing the right programming model for multiprocessor System-on-Chip (MPSoC) platforms is a challenging task: in order to provide for automatic hardware/software synthesis in a model-based design flow, the system model should be architecture-independent on the one hand, but should also allow the back-annotation of architecture-dependent mapping and scheduling decisions on the other hand. Here, architecture-independent...
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