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Scalable Kernel Fusion for Memory-Bound GPU Applications., and . SC, page 191-202. IEEE Computer Society, (2014)Data-centric GPU-based adaptive mesh refinement., and . IA3@SC, page 3:1-3:7. ACM, (2015)A Bayesian Optimization Algorithm for De Novo ligand design based docking running over GPU., , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2010)At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads., , , , , , , , , and 2 other author(s). ACM Trans. Archit. Code Optim., 20 (4): 57:1-57:26 (December 2023)Scaling distributed deep learning workloads beyond the memory capacity with KARMA., , , , , , , and . SC, page 19. IEEE/ACM, (2020)Scalable FBP decomposition for cone-beam CT reconstruction., , , , , , , , and . SC, page 9. ACM, (2021)Highly optimized full GPU-acceleration of non-hydrostatic weather model SCALE-LES., and . CLUSTER, page 1-8. IEEE Computer Society, (2013)Exploiting Scratchpad Memory for Deep Temporal Blocking: A case study for 2D Jacobian 5-point iterative stencil kernel (j2d5pt)., , , , , , and . GPGPU@PPoPP, page 34-35. ACM, (2023)A Framework for Cloud Embedded Web Services Utilized by Cloud Applications., , , and . SERVICES, page 265-271. IEEE Computer Society, (2011)A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment., , , and . PDPTA, page 658-664. CSREA Press, (2010)