We present HUILLY, a non-blocking data ingestion buffer designed for parallel applications built relying on time-stepped, fork-join computational paradigm. It provides complete data separation, reducing the intricacies of multi-threaded data structures and provides high operational efficiency. The effectiveness of HUILLY as a non-blocking ingestion buffer is demonstrated through an extensive experimental evaluation, providing significant improvements in throughput and latency for time-stepped, fork-join applications.
Du, X., Piccione, A., Pimpini, A., Bortoli, S., Knoll, A., Pellegrini, A. (2024). HUILLY: a non-blocking ingestion buffer for timestepped simulation analytics. In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) (pp.113-118). New York : IEEE [10.1109/CCGrid59990.2024.00022].
HUILLY: a non-blocking ingestion buffer for timestepped simulation analytics
Pimpini A.;Pellegrini A.
2024-01-01
Abstract
We present HUILLY, a non-blocking data ingestion buffer designed for parallel applications built relying on time-stepped, fork-join computational paradigm. It provides complete data separation, reducing the intricacies of multi-threaded data structures and provides high operational efficiency. The effectiveness of HUILLY as a non-blocking ingestion buffer is demonstrated through an extensive experimental evaluation, providing significant improvements in throughput and latency for time-stepped, fork-join applications.| File | Dimensione | Formato | |
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