6 citations · 11 across the 8 of their papers we have counts for
8 papers
Experiences Readying Applications for Exascale
Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov +29
The advent of exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details obse…
Level Set Restricted Voronoi Tessellation for Large scale Spatial Statistical Analysis
Tyson Neuroth, Martin Rieth, Konduri Aditya +3
Spatial statistical analysis of multivariate volumetric data can be challenging due to scale, complexity, and occlusion. Advances in topological segmentation, feature extraction, a…
Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows
Komal Kumari, Emmet Cleary, Swapnil Desai +3
Next-generation exascale machines with extreme levels of parallelism will provide massive computing resources for large scale numerical simulations of complex physical systems at u…
Diva: A Declarative and Reactive Language for In-Situ Visualization
Qi Wu, Tyson Neuroth, Oleg Igouchkine +3
The use of adaptive workflow management for in situ visualization and analysis has been a growing trend in large-scale scientific simulations. However, coordinating adaptive workfl…
A scalable weakly-synchronous algorithm for solving partial differential equations
Konduri Aditya, Tobias Gysi, Grzegorz Kwasniewski +3
Synchronization overheads pose a major challenge as applications advance towards extreme scales. In current large-scale algorithms, synchronization as well as data communication de…
A User-centered Design Study in Scientific Visualization Targeting Domain Experts
Yucong, Ye, Franz Sauer +3
The development and design of visualization solutions that are truly usable is essential for ensuring both their adoption and effectiveness. User-centered design principles, which…
Enabling adaptive scientific workflows via trigger detection
Maher Salloum, Janine C. Bennett, Ali Pinar +2
Next generation architectures necessitate a shift away from traditional workflows in which the simulation state is saved at prescribed frequencies for post-processing analysis. Whi…
Trigger detection for adaptive scientific workflows using percentile sampling
Janine C. Bennett, Ankit Bhagatwala, Jacqueline H. Chen +3
Increasing complexity of scientific simulations and HPC architectures are driving the need for adaptive workflows, where the composition and execution of computational and data man…