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Results: 110
Number of items: 110
  • Open Access
    Rouxel, B., Schultz, U. P., Akesson, B., Holst, J., Jørgensen, O., & Grelck, C. (2020). PReGO: a generative methodology for satisfying real-time requirements on COTS-based systems: definition and experience report. In M. Erwig, & J. Gray (Eds.), GPCE '20: proceedings of the 19th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences : November 16-17, 2020, Virtual, USA (pp. 70-83). Association for Computing Machinery. https://doi.org/10.1145/3425898.3426954
  • Fuchs, P., Hijma, P., & Grelck, C. (2019). Implementing stencil problems in Chapel: an experience report. In B. Robbins, & B. Chamberlain (Eds.), CHIUW '19: proceedings of the ACM SIGPLAN 6th Chapel Implementers and Users Workshop : June 22, 2019, Phoenix, AZ, USA (pp. 16-25). The Association for Computing Machinery. https://doi.org/10.1145/3329722.3330146
  • Macht, T., & Grelck, C. (2019). SAC Goes Cluster: Fully Implicit Distributed Computing. In 2019 IEEE 33rd International Parallel and Distributed Processing Symposium: proceedings : 20-24 May 2019, Rio de Janeiro, Brazil (pp. 996-1006). (IPDPS). IEEE Computer Society. https://doi.org/10.1109/IPDPS.2019.00107
  • Grelck, C. (2019). Single Assignment C (SAC): The Compilation Technology Perspective. In V. Zsók, Z. Porkoláb, & Z. Horváth (Eds.), Central European Functional Programming School: 6th Summer School, CEFP 2015, Budapest, Hungary, July 6–10, 2015 : revised selected papers (pp. 207-282). (Lecture Notes in Computer Science; Vol. 10094). Springer. https://doi.org/10.1007/978-3-030-28346-9_7
  • Open Access
    Larsson, E., Zafari, A., Righero, M., Francavilla, M. A., Giordanengo, G., Vipiana, F., Vecchi, G., Kessler, C., Ancourt, C., & Grelck, C. (2019). Parallelization of Hierarchical Matrix Algorithms for Electromagnetic Scattering Problems. In J. Kołodziej, & H. González-Vélez (Eds.), High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet (pp. 36-68). (Lecture Notes in Computer Science; Vol. 11400). Springer Open. https://doi.org/10.1007/978-3-030-16272-6_2
  • Amaral, V., Norberto, B., Goulão, M., Aldinucci, M., Benkner, S., Bracciali, A., Carreira, P., Celms, E., Correia, L., Grelck, C., Karatza, H., Kessler, C., Kilpatrick, P., Mavridis, I., Pllana, S., Respício, A., Simão, J., & Veiga, L. (2019, October 24). Companion data of a Systematic Mapping Study of Programming Languages for Data-Intensive HPC Applications [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3518028
  • Open Access
    Grelck, C., & Blom, C. (2019). Resource-aware Data Parallel Array Processing. Paper presented at 12th International Symposium on High-Level Parallel Programming and Applications, Linköping, Sweden.
  • Open Access
    Grelck, C., Niewiadomska-Szynkiewicz, E., Aldinucci, M., Bracciali, A., & Larsson, E. (2019). Why High-Performance Modelling and Simulation for Big Data Applications Matters. In J. Kołodziej, & H. González-Vélez (Eds.), High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet (pp. 1-35). (Lecture Notes in Computer Science; Vol. 11400). Springer Open. https://doi.org/10.1007/978-3-030-16272-6_1
  • Open Access
    Seewald, A., Schultz, U. P., Roeder, J., Rouxel, B., & Grelck, C. (2019). Component-based computation-energy modeling for embedded systems. In Y. Smaragdakis (Ed.), SPLASH companion '19: proceedings companion of the 2019 ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity : October 20-25, 2019, Athens, Greece (pp. 5-6). Association for Computing Machinery. https://doi.org/10.1145/3359061.3362775
  • Open Access
    Grelck, C., & Wiesinger, H. (2019). Persistent Asynchronous Adaptive Specialization for Generic Array Programming. International Journal of Parallel Programming, 47(2), 164-183. https://doi.org/10.1007/s10766-018-0567-9
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