Inhalt des Dokuments
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Open Source Projects
The following open-source projects have come out of the DIMA group at TU Berlin.
- © Emma Project
Emma is a quotation-based Scala DSL that enables holistic optimizations of data flow programs for scalable data analysis on Apache Flink and Spark.
Flink / Stratosphere
- © Apache™ Flink™ Team
"Apache Flink"  is a stream-processing framework for distributed, high-performing, always-available, and accurate data streaming applications. It originated from the joined research project "Stratosphere" , funded by the Deutsche Forschungsgemeinschaft (DFG). After a successful incubator phase, Flink graduated to a top-level project of the Apache Foundation  and became one of the most important and promising projects within the Apache Big Data Stack. Flink has a big and lively community, numerous well-known users, such as Zalando, Alibaba, and Netflix, and features it's own annually conference "FlinkForward"  taking place in Berlin and San Francisco.
 https://flink.apache.org 
 http://stratosphere.eu/ 
 https://www.apache.org/ 
 https://flink-forward.org/ 
Hawk - A Hardware Adaptive Query Compiler
- © CoGaDB Team
The performance of modern processors is primarily bound by a fixed energy budget. This power wall forces processor vendors to specialize their processors to certain applications to provide the speedups users expect.
- © Myriad project
The Myriad Toolkit uses advanced PRNG algorithms to implement offset-based access to the elements of the generated domain type sequences within a bounded time. This feature facilitates an efficient data-parallel execution mode. Data generation programs created with the Myriad Toolkit therefore can be scaled-out in a massively parallel manner in order to quickly generate large synthetic datatets with complex statistical dependencies.
- © Peel Project
Peel is a framework that helps you to define, execute, analyze, and share experiments for distributed systems and algorithms. A Peel package bundles together the configuration data, datasets, and workload applications required for the execution of a particular collection of experiments. Peel bundles can be largely decoupled from the underlying operational environment and easily migrated and reproduced to new environments.