2 citations · 6 across the 9 of their papers we have counts for
10 papers
Oasis: Hiding the Cost of Querying Parquet Files in the Datapath
Jonas Dann, Luca Tagliavini, Gustavo Alonso
Cloud-native database systems disaggregate compute and storage resources to improve cost efficiency over traditional monolithic architectures through elasticity and resource poolin…
SCENIC: Stream Computation-Enhanced SmartNIC
Benjamin Ramhorst, Maximilian Jakob Heer, Luhao Liu +4
Although modern, AI-centric datacenters heavily rely on SmartNICs, existing devices impose a hard trade-off. Commercial SmartNICs provide high bandwidth and easy software integrati…
Should I Hide My Duck in the Lake?
Jonas Dann, Gustavo Alonso
Data lakes spend a significant fraction of query execution time on scanning data from remote, disaggregated storage. Decoding alone accounts for 46% of runtime when running TPC-H d…
RoCE BALBOA: Service-enhanced Data Center RDMA for SmartNICs
Maximilian Jakob Heer, Benjamin Ramhorst, Yu Zhu +4
Data-intensive applications in data centers, especially machine learning (ML), have made the network a bottleneck, which in turn has motivated the development of more efficient net…
Coyote v2: Raising the Level of Abstraction for Data Center FPGAs
Benjamin Ramhorst, Dario Korolija, Maximilian Jakob Heer +3
In the trend towards hardware specialization, FPGAs play a dual role as accelerators for offloading, e.g., network virtualization, and as a vehicle for prototyping and exploring ha…
GraphMatch: Subgraph Query Processing on FPGAs
Jonas Dann, Tobias Götz, Daniel Ritter +2
Efficiently finding subgraph embeddings in large graphs is crucial for many application areas like biology and social network analysis. Set intersections are the predominant and mo…