Abstract is missing.
- Can Fortran's 'do concurrent' Replace Directives for Accelerated Computing?Miko M. Stulajter, Ronald M. Caplan, Jon A. Linker. 3-21 [doi]
- Achieving Near-Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL InteroperabilityVincent R. Pascuzzi, Mehdi Goli. 22-45 [doi]
- Extending OpenMP for Machine Learning-Driven AdaptationChunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan 0001, David Beckingsale, Todd Gamblin. 49-69 [doi]
- GPU Porting of Scalable Implicit Solver with Green's Function-Based Neural Networks by OpenACCKohei Fujita, Yuma Kikuchi, Tsuyoshi Ichimura, Muneo Hori, Lalith Maddegedara, Naonori Ueda. 73-91 [doi]
- Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-Based OffloadingJeffrey Kelling, Sergey I. Bastrakov, Alexander Debus, Thomas Kluge, Matt Leinhauser, Richard Pausch, Klaus Steiniger, Jan Stephan, René Widera, Jeff Young, Michael Bussmann, Sunita Chandrasekaran, Guido Juckeland. 92-111 [doi]
- Accelerating Quantum Many-Body Configuration Interaction with DirectivesBrandon Cook 0001, Patrick J. Fasano, Pieter Maris, Chao Yang, Dossay Oryspayev. 112-132 [doi]
- GPU Offloading of a Large-Scale Gyrokinetic Particle-in-Cell Fortran Code on Summit: From OpenACC to OpenMPQiheng Cai, Junyi Cheng, Yang Chen, Marcus Wagner, Christopher Daley, Dossay Oryspayev, Stefan Tirkas, Sophie Redd, Scott E. Parker. 133-148 [doi]