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The aim of this one-day workshop is to bring together researchers who are interested in optimizing database performance on mod[1]ern computing infrastructure by designing new data management techniques and tools. The continued evolution of computing hardware and infrastructure imposes new challenges and bottlenecks to program performance. As a result, traditional database architectures that focus solely on I/O optimization increasingly fail to utilize hardware resources efficiently. Multi-core CPUs, GPUs, FPGAs, new memory and storage technologies (such as flash and non-volatile memory), and low-power hardware impose great challenges to optimizing database performance. Consequently, exploiting the characteristics of modern hardware has become an important topic of database systems research. The goal is to make database systems adapt automatically to the sophisticated hardware characteristics, thus maximizing performance transparently to applications. To achieve this goal, the data management community needs interdisciplinary collaboration with computer architecture, compiler, operating systems, and storage researchers. This involves rethinking traditional data structures, query processing algorithms, and database software architectures to adapt to the advances in the underlying hardware infrastructure. For the DaMoN Workshop, we seek submissions bridging the area of database systems to computer architecture, compilers, and operating systems.