| The PETSc Community as Infrastructure | 0 | 0.34 | 2022 |
| Understanding performance variability in standard and pipelined parallel Krylov solvers | 0 | 0.34 | 2021 |
| Toward performance-portable PETSc for GPU-based exascale systems | 2 | 0.45 | 2021 |
| Vectorized Parallel Sparse Matrix-Vector Multiplication In Petsc Using Avx-512 | 0 | 0.34 | 2018 |
| Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. | 0 | 0.34 | 2018 |
| Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers | 1 | 0.35 | 2017 |
| Hierarchical Krylov and nested Krylov methods for extreme-scale computing | 12 | 0.59 | 2014 |
| Identification And Visualization Of Dominant Patterns And Anomalies In Remotely Sensed Vegetation Phenology Using A Parallel Tool For Principal Components Analysis | 3 | 0.44 | 2013 |
| Cluster Analysis-Based Approaches For Geospatiotemporal Data Mining Of Massive Data Sets For Identification Of Forest Threats | 6 | 0.51 | 2011 |
| Data Mining In Earth System Science (Dmess 2011) | 6 | 0.49 | 2011 |
| Geospatiotemporal data mining in an early warning system for forest threats in the United States | 3 | 0.57 | 2010 |
| Runtime and Programming Support for Memory Adaptation in Scientific Applications via Local Disk and Remote Memory | 4 | 0.49 | 2007 |
| Adapting to Memory Pressure from within Scientific Applications on Multiprogrammed COWs | 5 | 0.48 | 2004 |
| Dynamic Load Balancing of an Iterative Eigensolver on Networks of Heterogeneous Clusters | 3 | 0.45 | 2003 |
| Algorithmic modifications to the Jacobi-Davidson parallel eigensolver to dynamically balance external CPU and memory load | 10 | 0.56 | 2001 |
