Dipl.-Inf. Dipl.-Phys. Michael Haidl

2017

• Haidl M, Steuwer M, Dirks H, Humernbrum T, Gorlatch S. 2017. ‘Towards Composable GPU Programming: Programming GPUs with Eager Actions and Lazy Views.’ In Proceedings of the 8th International Workshop on Programming Models and Applications for Multicores and Manycores, edited by Chen Q, Huang Z, 58–67. New York, NY: ACM Press. doi: 10.1145/3026937.3026942.
• Haidl M, Gorlatch S. 2017. ‘High-Level Programming for Many-Cores using C++14 and the STL.’ International Journal of Parallel Programming 2017. doi: 10.1007/s10766-017-0497-y.

2016

• Chantrapornchai C., Choksuchat C., Haidl M., Gorlatch S. 2016. ‘TripleID: A low-overhead representation and querying using GPU for large RDFs.’ In Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, edited by Kozielsk S, 400–415. Springer VDI Verlag. doi: 10.1007/978-3-319-34099-9_31.
• Borisenko A, Haidl M, Gorlatch S. 2016. ‘A GPU parallelization of branch-and-bound for multiproduct batch plants optimization.’ The Journal of Supercomputing 72: 1–13. doi: 10.1007/s11227-016-1784-x.
• Haidl M, Hagedorn B, Gorlatch S. 2016. ‘Programming GPUs with C++14 and Just-In-Time Compilation.’ Contributed to the Advances in Parallel Computing: On the Road to Exascale, ParCo2015, Edinburgh, Schottland. doi: 10.3233/978-1-61499-621-7-247.
• Haidl M, Steuwer M, Humernbrum T, Gorlatch S. 2016. ‘Multi-Stage Programming for GPUs in Modern C++ using PACXX.’ Contributed to the The 9th Annual Workshop on General Purpose Processing Using Graphics Processing Unit, GPGPU '16, Barcelona, Spain. doi: 10.1145/2884045.2884049.

2015

• Choksuchat C, Chantrapornchai C, Haidl M, Gorlatch S. 2015. ‘Accelerating Keyword Search for Large RDF Data on Many-Core Systems.’ Contributed to the The 14th International Conference on Intelligent Software Methodologies, Tools and Techniques, Naples, Italy.
• Borisenko A, Haidl M, Gorlatch S. 2015. ‘Parallelizing Branch-and-Bound on GPUs for Optimization of Multiproduct Batch Plants.’ In Parallel Computing Technologies, edited by Springer, 324–337. Cham: Springer. doi: 10.1007/978-3-319-21909-7_33.

2014

• Steuwer Michel, Haidl Michael, Breuer Stefan, Gorlatch Sergei. 2014. ‘High-Level Programming of Stencil Computations on Multi-GPU Systems using the SkelCL Library.’ Parallel Processing Letters 24, Nr. 03: 1441005. doi: 10.1142/S0129626414410059.
• Dütsch Fabian, Djelassi Karim, Haidl Michael, Gorlatch Sergei. 2014. ‘HLSF: A High-Level, C++-Based Framework for Stencil Computations on Accelerators.’ Contributed to the Second Workshop on Optimizing Stencil Computations WOSC'14 at SPLASH 14, Portland. doi: 10.1145/2686745.2686751.
• Haidl Michael, Gorlatch Sergei. 2014. ‘PACXX: Towards a Unified Programming Model for Programming Accelerators using C++14.’ Contributed to the The LLVM Compiler Infrastructure in HPC Workshop at Supercomputing '14, New Orleans. doi: 10.1109/LLVM-HPC.2014.9.

2013

• Knitter S, Kues M, Haidl M, Fallnich C. 2013. ‘Linearly polarized emission from random lasers with anisotropically amplifying media.’ Optics Express 21, Nr. 25: 31591–31603. doi: 10.1364/OE.21.031591.
• Knitter S, Kues M, Haidl M, Fallnich C. 2013. ‘Polarization of Random-Lasing Modes under Weak Localization.’ Contributed to the DPG-Meeting, AMOP-Q 63.5, Hannover (Germany). [accepted / in Press (not yet published)]
• Haidl M, Kues M, Knitter S, Fallnich C. 2013. „Numerische Untersuchungen zu anisotrop verstärkten laseraktiven randomisierten Medien.“ Beitrag präsentiert auf der DPG-Meeting, AMOP-Q 63.6, Hannover (Germany). [accepted / in Press (not yet published)]