International Journal of High Performance Computing Applications

Papers
(The TQCC of International Journal of High Performance Computing Applications is 5. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Visualization at exascale: Making it all work with VTK-m63
Dynamic spawning of MPI processes applied to malleability63
Enhancing scalability of a matrix-free eigensolver for studying many-body localization59
Accelerating atmospheric physics parameterizations using graphics processing units38
Automatizing the creation of specialized high-performance computing containers35
HPL-MxP benchmark: Mixed-precision algorithms, iterative refinement, and scalable data generation32
Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants22
Compressed basis GMRES on high-performance graphics processing units16
HPC I/O innovations in the exascale era15
Refining HPCToolkit for application performance analysis at exascale14
Large-scale ab initio simulation of light–matter interaction at the atomic scale in Fugaku14
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management13
HDF5 in the exascale era: Delivering efficient and scalable parallel I/O for exascale applications13
Direct numerical simulations for hybrid rocket boundary layers: Performance modeling and scaling13
Julia versus C++ Kokkos for performance portable Cartesian CFD solvers on heterogeneous architectures11
Scalable multilevel Monte Carlo methods exploiting parallel redistribution on coarse levels10
Orchestration of materials science workflows for heterogeneous resources at large scale10
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
Preparing MPICH for exascale9
Ginkgo - A math library designed to accelerate Exascale Computing Project science applications9
Performance of explicit and IMEX MRI multirate methods on complex reactive flow problems within modern parallel adaptive structured grid frameworks8
Hypergraph-based locality-enhancing methods for graph operations in Big Data applications8
An elastic framework for ensemble-based large-scale data assimilation8
Special issue introduction8
GPU-based molecular dynamics of fluid flows: Reaching for turbulence8
Retraction Notice8
Integrating ytopt and libEnsemble to autotune OpenMC7
Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics7
A study on the performance of distributed training of data-driven CFD simulations7
Accelerated dynamic data reduction using spatial and temporal properties7
PeleC: An adaptive mesh refinement solver for compressible reacting flows6
Special issue: Introduction6
Fast truncated SVD of sparse and dense matrices on graphics processors6
Cache blocking of distributed-memory parallel matrix power kernels5
Technology trends in computing hardware and their impacts on high-performance scientific computing Part I: General-purpose processors and hardware accelerators5
TransGRU-X – A fusion Seq2Seq network enhanced with multiresolution analysis and gating for forecasting of AI/ML workloads in cloud environments5
HOPPS: A performance portable spectral difference solver for high-fidelity computational fluid dynamics5
Fair-sharing simulator: Toward fair scheduling in batch computing systems5
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications5
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors5
Clacc: OpenACC for C/C++ in Clang5
Sequence length scaling in vision transformers for scientific images on frontier5
Preparing the TAU performance system for exascale and beyond5
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support5
NUMA-aware parallel sparse LU factorization for SPICE-based circuit simulators on ARM multi-core processors5
Democratizing responsible artificial intelligence for innovation and impact5
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