Name
Abstract | ||
|---|---|---|
GrAPL 2020: Workshop on Graphs, Architectures, Programming, and Learning, brings together two closely related topics - how the synthesis (representation) and analysis of graphs is supported in hardware and software, and the ways graph algorithms interact with machine learning. Driven by the natural outgrowth of a wide range of methods used in large-scale data analytics workflows, GrAPL’s scope is broad. GrAPL’2020 is the second edition of the merger between two successful workshop series at IPDPS: GABB and GraML. GABB started at IPDPS’14 with a program of invited-talks and panel discussions. GraML was held at IPDPS in 2017 and 2018. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/IPDPSW50202.2020.00042 | 2020 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) |
DocType | ISBN | Citations |
Conference | 978-1-7281-7457-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Scott Mcmillan | 1 | 93 | 15.01 |
| Manoj Kumar | 2 | 0 | 0.34 |
| Danai Koutra | 3 | 0 | 0.34 |
| Mahantesh Halappanavar | 4 | 218 | 33.64 |
| Tim Mattson | 5 | 19 | 1.75 |
| Antonino Tumeo | 6 | 356 | 44.70 |