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- research-articleMarch 2024
GraphScale: Scalable Processing on FPGAs for HBM and Large Graphs
ACM Transactions on Reconfigurable Technology and Systems (TRETS), Volume 17, Issue 2Article No.: 22, Pages 1–23https://doi.org/10.1145/3616497Recent advances in graph processing on FPGAs promise to alleviate performance bottlenecks with irregular memory access patterns. Such bottlenecks challenge performance for a growing number of important application areas like machine learning and data ...
- surveyFebruary 2023
Non-relational Databases on FPGAs: Survey, Design Decisions, Challenges
ACM Computing Surveys (CSUR), Volume 55, Issue 11Article No.: 225, Pages 1–37https://doi.org/10.1145/3568990Non-relational database systems (NRDS) such as graph and key-value have gained attention in various trending business and analytical application domains. However, while CPU performance scaling becomes increasingly more difficult, field-programmable gate ...
- research-articleJune 2022
PipeJSON: Parsing JSON at Line Speed on FPGAs
DaMoN '22: Proceedings of the 18th International Workshop on Data Management on New HardwareArticle No.: 3, Pages 1–7https://doi.org/10.1145/3533737.3535094JavaScript Object Notation (JSON) gained popularity as a data exchange and storage format. While recent advances on modern CPUs show an improved JSON parsing by using data parallelism with vector instructions, the rigid instruction set and limited ...
- research-articleJune 2021
Demystifying memory access patterns of FPGA-based graph processing accelerators
GRADES-NDA '21: Proceedings of the 4th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA)Article No.: 3, Pages 1–10https://doi.org/10.1145/3461837.3464512Recent advances in reprogrammable hardware (e. g., FPGAs) and memory technology (e. g., DDR4, HBM) promise to solve performance problems inherent to graph processing like irregular memory access patterns on traditional hardware (e. g., CPU). While ...
- research-articleJune 2017
Hardware Accelerated Application Integration Processing: Industry Paper
DEBS '17: Proceedings of the 11th ACM International Conference on Distributed and Event-based SystemsPages 215–226https://doi.org/10.1145/3093742.3093911The growing number of (cloud) applications and devices massively increases the communication rate and volume pushing integration systems to their (throughput) limits. While the usage of modern hardware like Field Programmable Gate Arrays (FPGAs) led to ...