Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs -- Matrix Multiplication on High-Density Multi-GPU Architectures: Theoretical and Experimental Investigations -- A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations -- Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms -- On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors -- Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2 -- ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines -- Accelerating LBM and LQCD Application Kernels by In-Memory Processing -- On Quantum Chemistry Code Adaptation for RSC PetaStream Architecture -- Dtree: Dynamic Task Scheduling at Petascale -- Feasibility Study of Porting a Particle Transport Code to FPGA -- A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics -- BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads -- Lattice-CSC: Optimizing and Building an Efficient Supercomputer for Lattice-QCD and to Achieve First Place in Green500 -- An Efficient Clique-Based Algorithm of Compute Nodes Allocation for In-memory Checkpoint System -- A Scalable Algorithm for Radiative Heat Transfer Using Reverse Monte Carlo Ray Tracing -- Optimizing Processes Mapping for Tasks with Non-uniform Data Exchange Run on Cluster with Different Interconnects -- Dynamically Adaptable I/O Semantics for High Performance Computing -- Predicting Performance of Non-contiguous I/O with Machine Learning -- A Best Practice Analysis of HDF5 and NetCDF-4 Using Lustre -- Striping Layout Aware Data Aggregation for High Performance I/O on a Lustre File System -- Hop: Elastic Consistency for Exascale Data Stores -- Energy-Efficient Data Processing Through Data Sparsing with Artifacts -- Updating the Energy Model for Future Exascale Systems -- High-Order ADER-DG Minimizes Energy- and Time-to-Solution of SeisSol -- Modeling the Productivity of HPC Systems on a Computing Center Scale -- Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy -- A Run-Time System for Power-Constrained HPC Applications -- A Machine Learning Approach for a Scalable, Energy-Efficient Utility-Based Cache Partitioning -- A Case Study - Cost of Preemption for Urgent Computing on SuperMUC -- Designing Non-blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters -- Design Methodology for Optimizing Optical Interconnection Networks in High Performance Systems -- Quantifying Communication in Graph Analytics -- Formal Metrics for Large-Scale Parallel Performance -- Hunting Down Load Imbalance: A Moving Target -- Orchestrating Docker Containers in the HPC Environment -- Performance and Scaling of WRF on Three Different Parallel Supercomputers.