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 2022-06-01 to 2026-06-01.)
ArticleCitations
Dynamic spawning of MPI processes applied to malleability82
Visualization at exascale: Making it all work with VTK-m76
Compressed basis GMRES on high-performance graphics processing units73
chipStar : Making HIP/CUDA applications cross-vendor portable by building on open standards42
HPL-MxP benchmark: Mixed-precision algorithms, iterative refinement, and scalable data generation38
HPC I/O innovations in the exascale era24
Automatizing the creation of specialized high-performance computing containers24
Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants18
Accelerating atmospheric physics parameterizations using graphics processing units17
HDF5 in the exascale era: Delivering efficient and scalable parallel I/O for exascale applications16
Refining HPCToolkit for application performance analysis at exascale16
Orchestration of materials science workflows for heterogeneous resources at large scale15
Julia versus C++ Kokkos for performance portable Cartesian CFD solvers on heterogeneous architectures14
Scalable multilevel Monte Carlo methods exploiting parallel redistribution on coarse levels14
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management14
Direct numerical simulations for hybrid rocket boundary layers: Performance modeling and scaling13
A tale of two codes: CUDA vs OpenACC for mass-zero constrained dynamics12
Preparing MPICH for exascale11
General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods11
Ginkgo - A math library designed to accelerate Exascale Computing Project science applications11
Hypergraph-based locality-enhancing methods for graph operations in Big Data applications10
GPU-based molecular dynamics of fluid flows: Reaching for turbulence10
Architecture specific generation of large scale lattice Boltzmann methods for sparse complex geometries9
Performance of explicit and IMEX MRI multirate methods on complex reactive flow problems within modern parallel adaptive structured grid frameworks9
Retraction Notice8
Data-driven analysis to understand GPU hardware resource usage of optimizations8
Accelerated dynamic data reduction using spatial and temporal properties8
Special issue introduction8
Integrating ytopt and libEnsemble to autotune OpenMC8
A study on the performance of distributed training of data-driven CFD simulations8
An elastic framework for ensemble-based large-scale data assimilation8
Technology trends in computing hardware and their impacts on high-performance scientific computing Part II: Memory systems, interconnects, and system integration8
Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics8
Cache blocking of distributed-memory parallel matrix power kernels7
PeleC: An adaptive mesh refinement solver for compressible reacting flows7
Special issue: Introduction6
Preparing the TAU performance system for exascale and beyond6
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support6
Technology trends in computing hardware and their impacts on high-performance scientific computing Part I: General-purpose processors and hardware accelerators6
Fast truncated SVD of sparse and dense matrices on graphics processors6
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors6
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications6
TransGRU-X – A fusion Seq2Seq network enhanced with multiresolution analysis and gating for forecasting of AI/ML workloads in cloud environments6
Fair-sharing simulator: Toward fair scheduling in batch computing systems6
HOPPS: A performance portable spectral difference solver for high-fidelity computational fluid dynamics5
Clacc: OpenACC for C/C++ in Clang5
HPC-AI coupling methodology for scientific applications5
NUMA-aware parallel sparse LU factorization for SPICE-based circuit simulators on ARM multi-core processors5
Democratizing responsible artificial intelligence for innovation and impact5
Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large-scale GPU-equipped supercomputers5
Sequence length scaling in vision transformers for scientific images on frontier5
Accelerating cluster dynamics simulation of fission gas behavior in nuclear fuel on deep computing unit–based heterogeneous architecture supercomputer5
Understanding power and energy utilization in large scale production physics simulation codes5
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