International Journal of High Performance Computing Applications

Papers
(The TQCC of International Journal of High Performance Computing Applications is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
Visualization at exascale: Making it all work with VTK-m54
Dynamic spawning of MPI processes applied to malleability53
Enhancing scalability of a matrix-free eigensolver for studying many-body localization49
Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants39
Automatizing the creation of specialized high-performance computing containers35
Compressed basis GMRES on high-performance graphics processing units28
Accelerating atmospheric physics parameterizations using graphics processing units26
Large-scale ab initio simulation of light–matter interaction at the atomic scale in Fugaku20
Refining HPCToolkit for application performance analysis at exascale16
Orchestration of materials science workflows for heterogeneous resources at large scale14
HPC I/O innovations in the exascale era14
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management14
HDF5 in the exascale era: Delivering efficient and scalable parallel I/O for exascale applications13
Julia versus C++ Kokkos for performance portable Cartesian CFD solvers on heterogeneous architectures12
Ginkgo - A math library designed to accelerate Exascale Computing Project science applications10
Preparing MPICH for exascale9
A tale of two codes: CUDA vs OpenACC for mass-zero constrained dynamics9
General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods9
An elastic framework for ensemble-based large-scale data assimilation8
GPU-based molecular dynamics of fluid flows: Reaching for turbulence7
Retraction Notice7
Hypergraph-based locality-enhancing methods for graph operations in Big Data applications7
Integrating ytopt and libEnsemble to autotune OpenMC7
Special issue introduction7
Performance of explicit and IMEX MRI multirate methods on complex reactive flow problems within modern parallel adaptive structured grid frameworks7
Accelerated dynamic data reduction using spatial and temporal properties6
Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics6
A study on the performance of distributed training of data-driven CFD simulations5
Fast truncated SVD of sparse and dense matrices on graphics processors5
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications5
PeleC: An adaptive mesh refinement solver for compressible reacting flows5
Cache blocking of distributed-memory parallel matrix power kernels5
Special issue: Introduction5
Preparing the TAU performance system for exascale and beyond5
Advances in ArborX to support exascale applications4
NUMA-aware parallel sparse LU factorization for SPICE-based circuit simulators on ARM multi-core processors4
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors4
Bricks: A high-performance portability layer for computations on block-structured grids4
An integrated three-dimensional aeromechanical analysis for the prediction of stresses on modern coaxial rotors4
Understanding power and energy utilization in large scale production physics simulation codes4
Clacc: OpenACC for C/C++ in Clang4
Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large-scale GPU-equipped supercomputers4
Feynman and computation: From Los Alamos to quantum computers4
A population data-driven workflow for COVID-19 modeling and learning4
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support4
Accelerating cluster dynamics simulation of fission gas behavior in nuclear fuel on deep computing unit–based heterogeneous architecture supercomputer4
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials4
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