Large-Scale Analysis (DIA, WS) Master Bachelor Data management from user/application perspective Distributed Data Management ML system internals DB system internals + prog. project Prog. projects converge to an optimal model. It is crucial for performance to fit the data into single-node or distributed main memory. % 2. Say why it's an interesting problem General-purpose, heavy- and lightweight Projects, cont.  Transactions / High Availability  #9.1 Jingyu Zhou et al: FoundationDB: A Distributed Unbundled Transactional Key Value Store. SIGMOD 2021  #9.2 Audrey Cheng, Xiao Shi, Lu Pan, Anthony

to precisely control stream output, due to the above issues, the way code and data are mixed in streaming code, and the use of operator overloading (which may select a different overload than you expect) flags to control formatting details such as number base, precision, or padding. Overload << as a streaming operator for your type only if your type represents a value, and << writes out a human-readable hpp) and parallel/distributed algorithms and data structures (boost/graph/parallel/* and boost/graph/distributed/*). • Property Map from boost/property_map, except parallel/distributed property maps (b

WS 2021/22 Presentation – Experimental Setting  Hardware Selection  Multiple nodes for distributed computation  Avoid too outdated HW (irrelevance)  Find Balanced Level of Detail  Underspecified: projects proposals, feel free to bring your own, or ask for extended proposals (e.g., ML systems, distributed systems)  Nov 11: project selection via email to m.boehm@tugraz.at (11.59pm) subject: [Scientific