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20172024
most citedThe TensorFlow Partitioning and Scheduling Problem: It's the Critical Path!

34 citations · 147 across the 15 of their papers we have counts for

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16 papers · 1 filter

cs.DC20236 cited

An End-to-End Performance Comparison of Seven Permissioned Blockchain Systems

Frank Christian Geyer, Hans-Arno Jacobsen, Ruben Mayer +1

The emergence of more and more blockchain solutions with innovative approaches to optimising performance, scalability, privacy and governance complicates performance analysis. Reas…

cs.DC2022

Out-of-Core Edge Partitioning at Linear Run-Time

Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen

Graph edge partitioning is an important preprocessing step to optimize distributed computing jobs on graph-structured data. The edge set of a given graph is split into equally-…

cs.DC202129 cited

Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints

Ruben Mayer, Hans-Arno Jacobsen

Distributed systems that manage and process graph-structured data internally solve a graph partitioning problem to minimize their communication overhead and query run-time. Besides…

cs.DC20218 cited

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version)*

Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen

Permissioned blockchain systems promise to provide both decentralized trust and privacy. Hyperledger Fabric is currently one of the most wide-spread permissioned blockchain systems…

cs.DC20203 cited

2PS: High-Quality Edge Partitioning with Two-Phase Streaming

Ruben Mayer, Kamil Orujzade, Hans-Arno Jacobsen

Graph partitioning is an important preprocessing step to distributed graph processing. In edge partitioning, the edge set of a given graph is split into equally-sized partition…

cs.DC2019

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

Ruben Mayer, Hans-Arno Jacobsen

Deep Learning (DL) has had an immense success in the recent past, leading to state-of-the-art results in various domains such as image recognition and natural language processing.…