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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.

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