Transformation approach to numerically integrating PDEs by means of WDF principles
Multidimensional Systems and Signal Processing
Journal of VLSI Signal Processing Systems - Parallel processing on VLSI arrays
Robust Numerical Integration Using Wave-Digital Concepts
Multidimensional Systems and Signal Processing
Computer
Power efficiency for variation-tolerant multicore processors
Proceedings of the 2006 international symposium on Low power electronics and design
Quantifying the cost of context switch
Proceedings of the 2007 workshop on Experimental computer science
Power-Performance Implications of Thread-level Parallelism on Chip Multiprocessors
ISPASS '05 Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2005
On systematic wave digital modeling of passive hyperbolic partial differential equations
International Journal of Circuit Theory and Applications
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Multidimensional wave digital algorithms for numerical integration of partial differential equations exhibit not only important robustness properties, but also a massive amount of parallelism. As the technology limit of heat dissipation stalls a further increase of clock rates, modern CPUs incorporate multiple cores for parallel computation. In this paper, a safe and efficient multithreading concept is presented to exploit the multicore architecture for multidimensional wave digital algorithms. Context switching and synchronization overhead is investigated as well as effects of unfair operating system thread scheduling due to unequal cache sharing of cores. Simulation results for the nonlinear Euler equations confirm the efficiency of the proposed setup on a 1-core, 4-core and a 2 脳 4-core system.