• 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 348 matches

• 2021
• 
  Runjian Wu, Xingyuan Chen, Glenn Hammond, Gautam Bisht, Xuehang Song, Maoyi Huang, Guo-Yue Niu, Ty Paul Andrew Ferré:
  Coupling surface flow with high-performance subsurface reactive flow and transport code PFLOTRAN. Environ. Model. Softw. 137: 104959 (2021)
• 
  Sanket Tavarageri, Alexander Heinecke, Sasikanth Avancha, Bharat Kaul, Gagandeep Goyal, Ramakrishna Upadrasta:
  PolyDL: Polyhedral Optimizations for Creation of High-performance DL Primitives. ACM Trans. Archit. Code Optim. 18(1): 11:1-11:27 (2021)
• 
  Hangxuan Cui, Fakhreddine Ghaffari, Khoa Le, David Declercq, Jun Lin, Zhongfeng Wang:
  Design of High-Performance and Area-Efficient Decoder for 5G LDPC Codes. IEEE Trans. Circuits Syst. I Regul. Pap. 68(2): 879-891 (2021)
• 
  Javier Corral-García, Felipe Lemus-Prieto, Miguel Ángel Pérez Toledano:
  Efficient code development for improving execution performance in high-performance computing centers. J. Supercomput. 77(4): 3261-3288 (2021)
• 
  Dominic Kempf, René Heß, Steffen Müthing, Peter Bastian:
  Automatic Code Generation for High-performance Discontinuous Galerkin Methods on Modern Architectures. ACM Trans. Math. Softw. 47(1): 6:1-6:31 (2021)
• 
  Johannes de Fine Licht, Maciej Besta, Simon Meierhans, Torsten Hoefler:
  Transformations of High-Level Synthesis Codes for High-Performance Computing. IEEE Trans. Parallel Distributed Syst. 32(5): 1014-1029 (2021)
• 2020
• 
  Riyane Sid Lakhdar:
  Methodology for code-optimization of memory data layouts by adaptation to high-performance-system architectures with complex memory hierarchies. (Méthodologie pour l'optimisation logicielle de structures de données pour les architectures hautes performances à mémoires complexes). Grenoble Alpes University, France, 2020
• 
  Salija P, B. Yamuna, T. R. Padmanabhan, Deepak Mishra:
  A novel reliability-based high performance decoding algorithm for short block length turbo codes. Int. J. Ad Hoc Ubiquitous Comput. 33(3): 155-167 (2020)
• 
  Fabian Wrede, Herbert Kuchen:
  Towards High-Performance Code Generation for Multi-GPU Clusters Based on a Domain-Specific Language for Algorithmic Skeletons. Int. J. Parallel Program. 48(4): 713-728 (2020)
• 
  Chen He, Huixu Luan, Xiao-Ya Li, Cunyan Ma, Luyang Han, Z. Jane Wang:
  A Simple, High-Performance Space-Time Code for MIMO Backscatter Communications. IEEE Internet Things J. 7(4): 3586-3591 (2020)
• 
  Rui Chen, Lihao Xu:
  Practical Performance Evaluation of Space Optimal Erasure Codes for High-Speed Data Storage Systems. SN Comput. Sci. 1(1): 54 (2020)
• 
  Qinggang Wang, Long Zheng, Jieshan Zhao, Xiaofei Liao, Hai Jin, Jingling Xue:
  A Conflict-free Scheduler for High-performance Graph Processing on Multi-pipeline FPGAs. ACM Trans. Archit. Code Optim. 17(2): 14:1-14:26 (2020)
• 
  Ahmed H. Hareedy, Ruiyi Wu, Lara Dolecek:
  A Channel-Aware Combinatorial Approach to Design High Performance Spatially-Coupled Codes. IEEE Trans. Inf. Theory 66(8): 4834-4852 (2020)
• 
  Fabian Wrede, Christoph Rieger, Herbert Kuchen:
  Generation of high-performance code based on a domain-specific language for algorithmic skeletons. J. Supercomput. 76(7): 5098-5116 (2020)
• 
  Gustavo S. Carvalho, Felipe O. Silva, Rogério P. Menezes Filho, Victor Hugo L. Pereira:
  Performance Analysis of Code-based Relative GPS Positioning as Function of Baseline Separation**This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES), under grant 88881.169927/2018-01, the Brazilian Agricultural Research Corporation (EMBRAPA), under grant 212-20/2018, the Minas Gerais Research Foundation (FAPEMIG), under grant CAG-APQ-01449-17, and the National Council for Scientific and Technological Development (CNPq), under grant 313160/2019-8 Development (CNPq), under grant 313160/2019-8. LARS/SBR/WRE 2020: 1-6
• 
  Jose Manuel López, Daniel Feldmann, Markus Rampp, Alberto Vela-Martín, Liang Shi, Marc Avila:
  nsCouette - A high-performance code for direct numerical simulations of turbulent Taylor-Couette flow. SoftwareX 11: 100395 (2020)
• 
  Uday Bondhugula:
  High Performance Code Generation in MLIR: An Early Case Study with GEMM. CoRR abs/2003.00532 (2020)
• 
  Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rihawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost:
  ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing. CoRR abs/2007.06225 (2020)
• 
  Pablo Ouro, Unai Lopez-Novoa, Martyn F. Guest:
  On the performance of a highly-scalable Computational Fluid Dynamics code on AMD, ARM and Intel processors. CoRR abs/2010.07111 (2020)
• 
  Shuangyang Li, Jinhong Yuan, Weijie Yuan, Zhiqiang Wei, Baoming Bai, Derrick Wing Kwan Ng:
  Performance Analysis of Coded OTFS Systems over High-Mobility Channels. CoRR abs/2010.13008 (2020)
• 2019
• 
  Dominic Kempf:
  Code Generation for High Performance PDE Solvers on Modern Architectures. University of Heidelberg, Germany, 2019
• 
  Nathalie Möller:
  Industrial Code Modernization of High Performance Computing simulations on modern supercomputer architectures. (Adaptation de codes industriels de simulation en Calcul Haute Performance aux architectures modernes de supercalculateurs). University of Paris-Saclay, France, 2019
• 
  Guillaume Colin de Verdière:
  A la recherche de la haute performance pour les codes de calcul et la visualisation scientifique. (Searching for the highest performance for simulation codes and scientific visualization). University of Reims Champagne-Ardenne, France, 2019
• 
  Farzana Shaheen, Muhammad Fasih Uddin Butt, Shahrukh Agha, Soon Xin Ng, Robert G. Maunder:
  Performance Analysis of High Throughput MAP Decoder for Turbo Codes and Self Concatenated Convolutional Codes. IEEE Access 7: 138079-138093 (2019)
• 
  J. Satheesh Kumar, G. Saravana Kumar, A. Ahilan:
  High performance decoding aware FPGA bit-stream compression using RG codes. Clust. Comput. 22(6): 15007-15013 (2019)
• 
  Daniele Viganò, David Martínez-Gómez, José A. Pons, Carlos Palenzuela, Federico Carrasco, Borja Miñano, Antonio Arbona, Carles Bona, Joan Massó:
  A Simflowny-based high-performance 3D code for the generalized induction equation. Comput. Phys. Commun. 237: 168-183 (2019)
• 
  Wei Zhang, Shuya Wang, Haowen Luo, Yanyan Liu:
  High-Performance Soft Decision Algorithm for Bursty Channel Decoding of Reed-Solomon Codes. IEEE Commun. Lett. 23(7): 1141-1144 (2019)
• 
  Dhiman Kakati, Subhash C. Arya:
  Performance of grey-coded IQM-based optical modulation formats on high-speed long-haul optical communication link. IET Commun. 13(18): 2904-2912 (2019)
• 
  Irina Demeshko, Jerry Watkins, Irina K. Tezaur, Oksana Guba, William F. Spotz, Andrew G. Salinger, Roger P. Pawlowski, Michael A. Heroux:
  Toward performance portability of the Albany finite element analysis code using the Kokkos library. Int. J. High Perform. Comput. Appl. 33(2) (2019)
• 
  Thiago S. F. X. Teixeira, William Gropp, David A. Padua:
  Managing code transformations for better performance portability. Int. J. High Perform. Comput. Appl. 33(6) (2019)

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