Applying Efficient Fault Tolerance to Enable the Preconditioned Conjugate Gradient Solver on Approximate Computing Hardware. Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT'16), 21-26, 2016. [PUMA: AxC CCG PCG SimTech approximate computing conjugate error-correction error-detection fault-tolerance gradient linear myown preconditioned solver sparse systems]
Efficacy and Efficiency of Algorithm-Based Fault Tolerance on GPUs. Proceedings of the IEEE International On-Line Testing Symposium (IOLTS'13), 240--243, 2013. [PUMA: ABFT GPGPU SimTech algorithm-based computing errors fault fault-tolerance myown scientific simulation]
Energy-efficient and Error-resilient Iterative Solvers for Approximate Computing. Proceedings of the 23rd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'17), 237--239, 2017. [PUMA: AxC SimTech approximate computing energy-efficiency fault monitoring myown quality tolerance]
Pushing the Limits: How Fault Tolerance Extends the Scope of Approximate Computing. Proceedings of the 22nd IEEE International Symposium on On-Line Testing and Robust System Design (IOLTS'16), 133--136, 2016. [PUMA: AxC SimTech approximate characterization computing fault metrics myown precision tolerance variable]
Adaptive Parallel Simulation of a Two-Timescale-Model for Apoptotic Receptor-Clustering on GPUs. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM'14), 424--431, 2014. [PUMA: Euler-Maruyama GPU SimTech adaptive aggregation approximation computing heterogeneous ligand-receptor-model multi-timescale myown parallel particle simulation]