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Publication search results
found 22 matches
- 2022
- Md. Maksudul Alam, Shaikh Arifuzzaman, Md Hasanuzzaman Bhuiyan, Maleq Khan, V. S. Anil Kumar, Madhav V. Marathe:
Distributed Memory Parallel Algorithms for Massive Graphs. Massive Graph Analytics 2022: 85-107 - Eugenio Angriman, Patrick Bisenius, Elisabetta Bergamini, Henning Meyerhenke:
Computing Top-k Closeness Centrality in Fully Dynamic Graphs. Massive Graph Analytics 2022: 161-192 - Paul Burkhardt, Christopher A. Waring:
A Cloud-Based Approach to Big Graphs. Massive Graph Analytics 2022: 495-506 - Zhihui Du, Oliver Alvarado Rodriguez, Joseph Patchett, David A. Bader:
Interactive Graph Analytics at Scale in Arkouda. Massive Graph Analytics 2022: 549-589 - Nicholas Gerard Edmonds, Andrew Lumsdaine:
The Parallel Boost Graph Library 2.0. Massive Graph Analytics 2022: 459-481 - Stephan Erb, Moritz Kobitzsch, Lawrence Mandow, Peter Sanders:
Multi-Objective Shortest Paths. Massive Graph Analytics 2022: 35-59 - Alexandre Fender, Brad Rees, Joe Eaton:
RAPIDS cuGraph. Massive Graph Analytics 2022: 483-493 - William Hasenplaugh, Tim Kaler, Tao B. Schardl, Charles E. Leiserson:
Ordering Heuristics for Parallel Graph Coloring. Massive Graph Analytics 2022: 193-221 - Amy E. Hodler, Mark Needham:
Graph Data Science Using Neo4j. Massive Graph Analytics 2022: 433-457 - Tim Kaler, William Hasenplaugh, Tao B. Schardl, Charles E. Leiserson:
Executing Dynamic Data-Graph Computations Deterministically Using Chromatic Scheduling. Massive Graph Analytics 2022: 397-429 - Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John Gilbert, Shana Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson:
Introduction to GraphBLAS. Massive Graph Analytics 2022: 507-524 - Jeremy Kepner, Kenjiro Cho, kc claffy, Vijay Gadepally, Sarah McGuire, Lauren Milechin, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Andrew Prout, Albert Reuther, Antonio Rosa, Siddharth Samsi, Charles Yee, Peter Michaleas:
New Phenomena in Large-Scale Internet Traffic. Massive Graph Analytics 2022: 241-285 - Charles E. Leiserson, Tao B. Schardl:
A Work-Efficient Parallel Breadth-First Search Algorithm (or How To Cope With the Nondeterminism of Reducers). Massive Graph Analytics 2022: 3-33 - Fredrik Manne, Md. Mostofa Ali Patwary:
Efficient Multi-core Algorithms for Computing Spanning Forests and Connected Components. Massive Graph Analytics 2022: 109-125 - Lauren Milechin, Shana Hutchison, Hayden Jananthan, Jeremy Kepner, Benjamin A. Miller, Andrew Prout, Siddharth Samsi, Charles Yee, Vijay Gadepally:
Graphulo: Linear Algebra Graph Kernels. Massive Graph Analytics 2022: 525-548 - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation1. Massive Graph Analytics 2022: 333-376 - Geoffrey Sanders, Roger Pearce, Benjamin W. Priest, Trevor Steil:
Massive-Scale Distributed Triangle Computation and Applications. Massive Graph Analytics 2022: 127-158 - Jessica Shi, Julian Shun:
Parallel Algorithms for Butterfly Computations. Massive Graph Analytics 2022: 287-330 - George M. Slota, Karen D. Devine, Kamesh Madduri, Sivasankaran Rajamanickam:
Partitioning Trillion-Edge Graphs. Massive Graph Analytics 2022: 223-240 - George M. Slota, Sivasankaran Rajamanickam, Kamesh Madduri:
Multicore Algorithms for Graph Connectivity Problems. Massive Graph Analytics 2022: 63-84 - Ajitesh Srivastava, Charalampos Chelmis, Viktor K. Prasanna:
Computational Models for Cascades in Massive Graphs. Massive Graph Analytics 2022: 377-395 - David A. Bader:
Massive Graph Analytics. Chapman and Hall/CRC 2022, ISBN 9781003033707 [contents]
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