The efficient use of future MPSoCs with 1000 or more processor cores requires new means of  resource-aware programming  to deal with increasing imperfections such as process variation, fault rates, aging effects, and power as well as thermal problems. In this paper, we apply a new approach called  invasive computing  that enables an application programmer to spread computations to processors deliberately and on purpose at certain points of the program. Such decisions can be made depending on the degree of application parallelism and the state of the underlying resources such as utilization, load, and temperature. The introduced programming constructs for resource-aware programming are embedded into the parallel computing language X10 as developed by IBM using a library-based approach. Moreover, we show how individual heterogeneous MPSoC architectures may be modeled for subsequent functional simulation by defining compute resources such as processors themselves by lightweight threads that are executed in parallel together with the application threads by the X10 run-time system. Thus, the state changes of each hardware resource may be simulated including temperature, aging, and other useful monitor functionality to provide a first high-level programming test-bed for invasive computing.
['Frank Hannig', 'Sascha Roloff', 'Gregor Snelting', 'Jürgen Teich', 'Andreas Zwinkau']
Resource-aware programming and simulation of MPSoC architectures through extension of X10