Parallel Processing and Applied Mathematics

Numerical Algorithms and Parallel Scientific Computing.- How accurate does Newton have to be?.- General framework for deriving reproducible Krylov subspace algorithms: BiCGStab case.- A generalized parallel prefix sums algorithm for arbitrary size array.- Infinite-Precision Inner Product and Sparse Matrix-Vector Multiplication Using Ozaki Scheme with Dot2 on Manycore Processors.- Advanced Stochastic Approaches for Applied Computing in Environmental Modeling.- Parallel Non-numerical Algorithms.- Parallel Suffix Sorting for Large String Analytics.- Parallel Extremely Randomized Decision Forests on Graphics Processors for Text Classification.- RDBMS speculative support improvement by the use of the query hypergraph representation.- GPU Computing.- Mixed Precision Algebraic Multigrid on GPUs.- Compact in-memory representation of decision trees in GPU-accelerated evolutionary induction.- Neural Nets with a Newton Conjugate Gradient Method on Multiple GPUs.- Performance Analysis and Prediction in HPC Systems.- Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications.- Cost and Performance Analysis of MPI-based SaaS on the Private Cloud Infrastructure.- Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations.- Evaluation of machine learning techniques for predicting run times of scientific workflow jobs.- Smart clustering of HPC applications using similar job detection methods.- Scheduling for Parallel Computing.- Distributed Work Stealing in a Task-Based Dataflow Runtime.- Task Scheduler for Heterogeneous Data Centres based on Deep Reinforcement Learning.- Shisha: Online scheduling of CNN pipelines on heterogeneous architectures.- Proactive Task Offloading for Load Balancing in