| 211 | -- | 212 | Jack J. Dongarra, Bernard Tourancheau. Guest editors note: Special issue on clusters, clouds, and data for scientific computing |
| 213 | -- | 228 | Emmanuel Jeannot, Guillaume Pallez, Nicolas Vidal. IO-aware Job-Scheduling: Exploiting the Impacts of Workload Characterizations to select the Mapping Strategy |
| 229 | -- | 244 | Piotr Luszczek, Wissam M. Sid-Lakhdar, Jack J. Dongarra. Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering |
| 245 | -- | 259 | Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, Torsten Hoefler. Myths and legends in high-performance computing |
| 260 | -- | 271 | Naweiluo Zhou, Giorgio Scorzelli, Jakob Lüttgau, Rahul R. Kancharla, Joshua J. Kane, Robert Wheeler, Brendan P. Croom, Pania Newell, Valerio Pascucci, Michela Taufer. Orchestration of materials science workflows for heterogeneous resources at large scale |
| 272 | -- | 287 | Jorge Ejarque, Rosa M. Badia. Automatizing the creation of specialized high-performance computing containers |
| 288 | -- | 305 | Sadaf R. Alam, Miguel Gila, Mark Klein, Maxime Martinasso, Thomas C. Schulthess. Versatile software-defined HPC and cloud clusters on Alps supercomputer for diverse workflows |
| 306 | -- | 327 | Sanjukta Bhowmick, Patrick Bell, Michela Taufer. A Survey of Graph Comparison Methods with Applications to Nondeterminism in High-Performance Computing |
| 328 | -- | 350 | Vladimir Ostapenco, Laurent Lefèvre, Anne-Cécile Orgerie, Benjamin Fichel. Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management |
| 351 | -- | 379 | Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks 0001, Yu Cao 0001, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu 0001, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar. Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials |
| 380 | -- | 393 | Andrés E. Tomás, Enrique S. Quintana-Ortí, Hartwig Anzt. Fast truncated SVD of sparse and dense matrices on graphics processors |
| 394 | -- | 411 | Hongwei Jin, Krishnan Raghavan, George Papadimitriou 0002, Cong Wang 0014, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash. Graph neural networks for detecting anomalies in scientific workflows |
| 412 | -- | 433 | Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello. Black-box statistical prediction of lossy compression ratios for scientific data |
| 434 | -- | 441 | Olga Pearce, Stephanie Brink. Finding the forest in the trees: Enabling performance optimization on heterogeneous architectures through data science analysis of ensemble performance data |
| 442 | -- | 461 | Sabra Ossen, Jeremy Musser, Luke Dalessandro, Martin Swany. INDIANA - In-Network Distributed Infrastructure for Advanced Network Applications |