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Alexander Schöll
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2010 – 2019
- 2018
- [b1]Alexander Schöll:
Efficient fault tolerance for selected scientific computing algorithms on heterogeneous and approximate computer architectures. University of Stuttgart, Germany, 2018 - 2017
- [c9]Alexander Schöll, Claus Braun, Hans-Joachim Wunderlich:
Energy-efficient and error-resilient iterative solvers for approximate computing. IOLTS 2017: 237-239 - 2016
- [c8]Alexander Schöll, Claus Braun, Hans-Joachim Wunderlich:
Applying efficient fault tolerance to enable the preconditioned conjugate gradient solver on approximate computing hardware. DFT 2016: 21-26 - [c7]Alexander Schöll, Claus Braun, Michael A. Kochte, Hans-Joachim Wunderlich:
Efficient Algorithm-Based Fault Tolerance for Sparse Matrix Operations. DSN 2016: 251-262 - [c6]Hans-Joachim Wunderlich, Claus Braun, Alexander Schöll:
Pushing the limits: How fault tolerance extends the scope of approximate computing. IOLTS 2016: 133-136 - [c5]Hans-Joachim Wunderlich, Claus Braun, Alexander Schöll:
Fault tolerance of approximate compute algorithms. VTS 2016: 1 - 2015
- [c4]Alexander Schöll, Claus Braun, Michael A. Kochte, Hans-Joachim Wunderlich:
Low-overhead fault-tolerance for the preconditioned conjugate gradient solver. DFTS 2015: 60-65 - [c3]Alexander Schöll, Claus Braun, Michael A. Kochte, Hans-Joachim Wunderlich:
Efficient on-line fault-tolerance for the preconditioned conjugate gradient method. IOLTS 2015: 95-100 - 2014
- [c2]Alexander Schöll, Claus Braun, Markus Daub, Guido Schneider, Hans-Joachim Wunderlich:
Adaptive parallel simulation of a two-timescale model for apoptotic receptor-clustering on GPUs. BIBM 2014: 424-431 - 2012
- [c1]Claus Braun, Markus Daub, Alexander Schöll, Guido Schneider, Hans-Joachim Wunderlich:
Parallel simulation of apoptotic receptor-clustering on GPGPU many-core architectures. BIBM 2012: 1-6
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