The increasing trend to distribute computing over large-scale parallel and distributed platforms, such as clouds, grids and large clusters, often combined with the use of multicore processors and hardware accelerators, overlaps with an increasing pressure to make computing more dependable. Indeed, parallel programming for these type of platforms remains a complex task due to the numerous components (hardware and software) that can both affect correctness and performance. Therefore, the parallel and distributed computing community continuously requires better tools and environments to design, program, debug, test, tune, and monitor parallel programs. © 2011 Springer-Verlag.
CITATION STYLE
Badia, R. M., Huet, F., Van Nieuwpoort, R., & Keller, R. (2011). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Introduction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6852 LNCS, pp. 1–2). https://doi.org/10.1007/978-3-642-23400-2_1
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