%0 Conference Paper %1 conf/eScience/LumsdenLLSBIPT22 %A Lumsden, Ian %A Lüttgau, Jakob %A Lama, Vanessa %A Scully-Allison, Connor %A Brink, Stephanie %A Isaacs, Katherine E. %A Pearce, Olga %A Taufer, Michela %B e-Science %D 2022 %I IEEE %K dblp %P 256-266 %T Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. %U http://dblp.uni-trier.de/db/conf/eScience/eScience2022.html#LumsdenLLSBIPT22 %@ 978-1-6654-6124-5

@inproceedings{conf/eScience/LumsdenLLSBIPT22, added-at = {2024-02-05T00:00:00.000+0100}, author = {Lumsden, Ian and Lüttgau, Jakob and Lama, Vanessa and Scully-Allison, Connor and Brink, Stephanie and Isaacs, Katherine E. and Pearce, Olga and Taufer, Michela}, biburl = {https://www.bibsonomy.org/bibtex/2a792d4d589e8d8c1703d33f3cb46c73b/dblp}, booktitle = {e-Science}, crossref = {conf/eScience/2022}, ee = {https://doi.org/10.1109/eScience55777.2022.00039}, interhash = {b9be0617e58075bb4eda390550f371d9}, intrahash = {a792d4d589e8d8c1703d33f3cb46c73b}, isbn = {978-1-6654-6124-5}, keywords = {dblp}, pages = {256-266}, publisher = {IEEE}, timestamp = {2024-04-09T10:33:29.000+0200}, title = {Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications.}, url = {http://dblp.uni-trier.de/db/conf/eScience/eScience2022.html#LumsdenLLSBIPT22}, year = 2022 }