Výsledky vyhledávání - "Sebastian Breß"

Imperative or Functional Control Flow Handling

Autor: Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Loránd Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

Publikováno v: ACM SIGMOD Record. 51:60-67

Modern data analysis tasks often involve control flow statements, such as the iterations in PageRank and K-means. To achieve scalability, developers usually implement these tasks in distributed dataflow systems, such as Spark and Flink. Designers of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fc42cfdd05a8be1937e6dec14cb7e1dc
https://doi.org/10.1145/3542700.3542715

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Query Processing on Heterogeneous CPU/GPU Systems

Autor: Viktor Rosenfeld, Sebastian Breß, Volker Markl

Publikováno v: ACM Computing Surveys. 55:1-38

Due to their high computational power and internal memory bandwidth, graphic processing units (GPUs) have been extensively studied by the database systems research community. A heterogeneous query processing system that employs CPUs and GPUs at the s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::38e52b5f30fccfbcca3a1b07978aa954
https://doi.org/10.1145/3485126

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Scotty

Autor: Sebastian Breß, Volker Markl, Alejandro Rodriguez Cuellar, Asterios Katsifodimos, Tilmann Rabl, Jonas Traub, Philipp M. Grulich

Publikováno v: ACM Transactions on Database Systems. 46:1-46

Window aggregation is a core operation in data stream processing. Existing aggregation techniques focus on reducing latency, eliminating redundant computations, or minimizing memory usage. However, each technique operates under different assumptions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::469d3da7f1e2292cde5944372ad952d3
https://doi.org/10.1145/3433675

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Triton Join: Efficiently Scaling to a Large Join State on GPUs with Fast Interconnects

Autor: Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Publikováno v: Proceedings of the 2022 International Conference on Management of Data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8a386db8d59273c0952bd2ca9e6876d
https://doi.org/10.1145/3514221.3517911

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Scotch

Autor: Martin Kiefer, Ilias Poulakis, Sebastian Breß, Volker Markl

Publikováno v: Proceedings of the VLDB Endowment. 14:281-293

Sketching algorithms are a powerful tool for single-pass data summarization. Their numerous applications include approximate query processing, machine learning, and large-scale network monitoring. In the presence of high-bandwidth interconnects or in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be46cd2ab08e39c6128a118427dc18f2
https://doi.org/10.14778/3430915.3430919

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Data Management Systems Research at TU Berlin

Autor: Ziawasch Abedjan, Tilmann Rabl, Volker Markl, Sebastian Breß, Juan Soto

Publikováno v: ACM SIGMOD Record. 47:23-28

Data management systems research at TU Berlin is spearheaded by the Database Systems and Information Management (DIMA) Group, the Big Data Management (Big- DaMa) Group, as well as the affiliated Intelligent Analytics for Massive Data (IAM) Research G

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e015d571fa2de8602c22f0a55e62f1c
https://doi.org/10.1145/3335409.3335415

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Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance

Autor: Sebastian Breß, Tilmann Rabl, Volker Markl, Gábor E. Gévay, Jorge-Arnulfo Quiané-Ruiz, Lorand Madai-Tahy

Publikováno v: ICDE

Modern data analysis tasks often involve control flow statements, such as iterations. Common examples are PageRank and K-means. To achieve scalability, developers usually implement data analysis tasks in distributed dataflow systems, such as Spark an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e36b34ada68c07e400d77ce9fba8515
https://doi.org/10.1109/icde51399.2021.00127

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Pump Up the Volume

Autor: Sebastian Breß, Clemens Lutz, Tilmann Rabl, Volker Markl, Steffen Zeuch

Publikováno v: SIGMOD Conference

GPUs have long been discussed as accelerators for database query processing because of their high processing power and memory bandwidth. However, two main challenges limit the utility of GPUs for large-scale data processing: (1) the on-board memory c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::08fbf890645bd55df7a6c168ad93adcd
https://doi.org/10.1145/3318464.3389705

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Efficient and Scalable k‑Means on GPUs

Autor: Volker Markl, Tilmann Rabl, Steffen Zeuch, Sebastian Breß, Clemens Lutz

Publikováno v: Datenbank-Spektrum

k-Means is a versatile clustering algorithm widely used in practice. To cluster large data sets, state-of-the-art implementations use GPUs to shorten the data to knowledge time. These implementations commonly assign points on a GPU and update centroi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7238c331292768653d38e933cb375cc
https://doi.org/10.1007/s13222-018-0293-x

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Estimating join selectivities using bandwidth-optimized kernel density models

Autor: Martin Kiefer, Volker Markl, Max Heimel, Sebastian Breß

Publikováno v: Proceedings of the VLDB Endowment. 10:2085-2096

Accurately predicting the cardinality of intermediate plan operations is an essential part of any modern relational query optimizer. The accuracy of said estimates has a strong and direct impact on the quality of the generated plans, and incorrect es

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1fe1f4671993b2e1a00723bbb0b836a0
https://doi.org/10.14778/3151106.3151112

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