• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 195 matches

• 2021
• 
  Milosz Ciznicki, Krzysztof Kurowski, Jan Weglarz:
  Energy and performance improvements in stencil computations on multi-node HPC systems with different network and communication topologies. Future Gener. Comput. Syst. 115: 45-58 (2021)
• 
  Johannes Pekkilä, Miikka S. Väisälä, Maarit J. Käpylä, Matthias Rheinhardt, Oskar Lappi:
  Scalable communication for high-order stencil computations using CUDA-aware MPI. CoRR abs/2103.01597 (2021)
• 2020
• 
  Jingcheng Shen, Fumihiko Ino, Albert Farrés, Mauricio Hanzich:
  A Data-Centric Directive-Based Framework to Accelerate Out-of-Core Stencil Computation on a GPU. IEICE Trans. Inf. Syst. 103-D(12): 2421-2434 (2020)
• 
  Larisa Stoltzfus, Bastian Hagedorn, Michel Steuwer, Sergei Gorlatch, Christophe Dubach:
  Tiling Optimizations for Stencil Computations Using Rewrite Rules in Lift. ACM Trans. Archit. Code Optim. 16(4): 52:1-52:25 (2020)
• 
  Fabio Luporini, Mathias Louboutin, Michael Lange, Navjot Kukreja, Philipp A. Witte, Jan Hückelheim, Charles Yount, Paul H. J. Kelly, Felix J. Herrmann, Gerard J. Gorman:
  Architecture and Performance of Devito, a System for Automated Stencil Computation. ACM Trans. Math. Softw. 46(1): 6:1-6:28 (2020)
• 
  Konrad von Kirchbach, Markus Lehr, Sascha Hunold, Christian Schulz, Jesper Larsson Träff:
  Efficient Process-to-Node Mapping Algorithms for Stencil Computations. CLUSTER 2020: 1-11
• 
  Yuze Chi, Jason Cong:
  Exploiting Computation Reuse for Stencil Accelerators. DAC 2020: 1-6
• 
  Wesson Altoyan, Juan J. Alonso:
  Investigating Performance Losses in High-Level Synthesis for Stencil Computations. FCCM 2020: 195-203
• 
  Yao Liu, Li Liu, Mengtao Hu, Wei Wang, Wei Xue, Qingting Zhu:
  Performance Modeling of Stencil Computation on SW26010 Processors. ICA3PP (1) 2020: 386-400
• 
  Shengxiang Wang, Zhuoqian Li, Yonggang Che:
  Memory Access Optimization of High-Order CFD Stencil Computations on GPU. PDCAT 2020: 43-56
• 
  Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean-Francois Dietiker, Madhava Syamlal, Michael James:
  Fast stencil-code computation on a wafer-scale processor. SC 2020: 58
• 
  Hamid Reza Zohouri, Artur Podobas, Satoshi Matsuoka:
  High-Performance High-Order Stencil Computation on FPGAs Using OpenCL. CoRR abs/2002.05983 (2020)
• 
  Sascha Hunold, Konrad von Kirchbach, Markus Lehr, Christian Schulz, Jesper Larsson Träff:
  Efficient Process-to-Node Mapping Algorithms for Stencil Computations. CoRR abs/2005.09521 (2020)
• 
  Kamil Rocki, Dirk Van Essendelft, Ilya Sharapov, Robert Schreiber, Michael Morrison, Vladimir Kibardin, Andrey Portnoy, Jean-Francois Dietiker, Madhava Syamlal, Michael James:
  Fast Stencil-Code Computation on a Wafer-Scale Processor. CoRR abs/2010.03660 (2020)
• 2019
• 
  Hasitha Muthumala Waidyasooriya, Masanori Hariyama:
  Multi-FPGA Accelerator Architecture for Stencil Computation Exploiting Spacial and Temporal Scalability. IEEE Access 7: 53188-53201 (2019)
• 
  Junmin Xiao, Jian Peng:
  Trade-offs between computation, communication, and synchronization in stencil-collective alternate update. CCF Trans. High Perform. Comput. 1(2): 144-160 (2019)
• 
  Thiago Carrijo Nasciutti, Jairo Panetta, Pedro Pais Lopes:
  Evaluating optimizations that reduce global memory accesses of stencil computations in GPGPUs. Concurr. Comput. Pract. Exp. 31(18) (2019)
• 
  Charles Yount, Alejandro Duran, Josh Tobin:
  Multi-level spatial and temporal tiling for efficient HPC stencil computation on many-core processors with large shared caches. Future Gener. Comput. Syst. 92: 903-919 (2019)
• 
  Nobuhiro Miki, Fumihiko Ino, Kenichi Hagihara:
  PACC: a directive-based programming framework for out-of-core stencil computation on accelerators. Int. J. High Perform. Comput. Netw. 13(1): 19-34 (2019)
• 
  Jun Zhou, Yan Zhang, Weng-Fai Wong:
  Fault Tolerant Stencil Computation on Cloud-Based GPU Spot Instances. IEEE Trans. Cloud Comput. 7(4): 1013-1024 (2019)
• 
  Lukasz Szustak, Kamil Halbiniak, Roman Wyrzykowski, Ondrej Jakl:
  Unleashing the performance of ccNUMA multiprocessor architectures in heterogeneous stencil computations. J. Supercomput. 75(12): 7765-7777 (2019)
• 
  Maxime Schmitt, Philippe Helluy, Cédric Bastoul:
  Automatic adaptive approximation for stencil computations. CC 2019: 170-181
• 
  Aurélien Cavelan, Florina M. Ciorba:
  Algorithm-Based Fault Tolerance for Parallel Stencil Computations. CLUSTER 2019: 1-11
• 
  Yu Zou, Mingjie Lin:
  Graph-Morphing: Exploiting Hidden Parallelism of Non-Stencil Computation in High-Level Synthesis. DAC 2019: 124
• 
  Gagandeep Singh, Dionysios Diamantopoulos, Christoph Hagleitner, Sander Stuijk, Henk Corporaal:
  NARMADA: Near-Memory Horizontal Diffusion Accelerator for Scalable Stencil Computations. FPL 2019: 263-269
• 
  Anis Alazzawe, Krishna Kant:
  Mimic: Fast Recovery from Data Corruption Errors in Stencil Computations. IPCCC 2019: 1-8
• 
  Jie Li, Xi Wang, Antonino Tumeo, Brody Williams, John D. Leidel, Yong Chen:
  PIMS: a lightweight processing-in-memory accelerator for stencil computations. MEMSYS 2019: 41-52
• 
  Gagandeep Singh, Dionysios Diamantopoulos, Sander Stuijk, Christoph Hagleitner, Henk Corporaal:
  Low Precision Processing for High Order Stencil Computations. SAMOS 2019: 403-415
• 
  Tuowen Zhao, Protonu Basu, Samuel Williams, Mary W. Hall, Hans Johansen:
  Exploiting reuse and vectorization in blocked stencil computations on CPUs and GPUs. SC 2019: 52:1-52:44
• 
  Aurélien Cavelan, Florina M. Ciorba:
  Algorithm-Based Fault Tolerance for Parallel Stencil Computations. CoRR abs/1909.00709 (2019)

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