International Journal of High Performance Computing Applications

Papers
(The median citation count of International Journal of High Performance Computing Applications is 1. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Performance analysis of relaxation Runge–Kutta methods107
Very fast finite element Poisson solvers on lower precision accelerator hardware: A proof of concept study for Nvidia Tesla V10070
Visualization at exascale: Making it all work with VTK-m61
Advances in ArborX to support exascale applications46
Cache-optimized and low-overhead implementations of additive Schwarz methods for high-order FEM multigrid computations41
Dynamic spawning of MPI processes applied to malleability37
TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences34
Non-smooth Bayesian optimization in tuning scientific applications32
A study on the performance of distributed training of data-driven CFD simulations27
Malleability techniques applications in high-performance computing25
Graph neural networks for detecting anomalies in scientific workflows24
INDIANA—In-Network Distributed Infrastructure for Advanced Network Applications21
An integrated three-dimensional aeromechanical analysis for the prediction of stresses on modern coaxial rotors21
Accelerated dynamic data reduction using spatial and temporal properties19
UMap: An application-oriented user level memory mapping library19
MAGMA: Enabling exascale performance with accelerated BLAS and LAPACK for diverse GPU architectures17
Guest Editor’s note: Special issue on challenges and solutions for porting applications to next-generation high performance computing systems16
Advancements of PAPI for the exascale generation15
Versatile software-defined HPC and cloud clusters on Alps supercomputer for diverse workflows14
Employing artificial intelligence to steer exascale workflows with colmena13
AMReX: Block-structured adaptive mesh refinement for multiphysics applications12
PeleC: An adaptive mesh refinement solver for compressible reacting flows11
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics11
Combining multitask and transfer learning with deep Gaussian processes for autotuning-based performance engineering11
Development of NCL equivalent serial and parallel python routines for meteorological data analysis10
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action8
Acceleration of a parallel BDDC solver by using graphics processing units on subdomains8
Compressed basis GMRES on high-performance graphics processing units8
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications7
Guest editors note: Special issue on clusters, clouds, and data for scientific computing7
Automatizing the creation of specialized high-performance computing containers6
ZFP: A compressed array representation for numerical computations6
Special issue: Introduction6
IO-aware Job-Scheduling: Exploiting the Impacts of Workload Characterizations to select the Mapping Strategy6
Efficient exascale discretizations: High-order finite element methods6
Recovering single precision accuracy from Tensor Cores while surpassing the FP32 theoretical peak performance5
PaRSEC: Scalability, flexibility, and hybrid architecture support for task-based applications in ECP5
Globus service enhancements for exascale applications and facilities5
Enhancing scalability of a matrix-free eigensolver for studying many-body localization5
Performance comparison of the A-grid and C-grid shallow-water models on icosahedral grids5
Fast truncated SVD of sparse and dense matrices on graphics processors5
Black-box statistical prediction of lossy compression ratios for scientific data5
Accelerating atmospheric physics parameterizations using graphics processing units5
Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures5
ECP libraries and tools: An overview5
Portable, heterogeneous ensemble workflows at scale using libEnsemble5
A massively parallel time-domain coupled electrodynamics–micromagnetics solver5
Increased space-parallelism via time-simultaneous Newton-multigrid methods for nonstationary nonlinear PDE problems4
Cache blocking of distributed-memory parallel matrix power kernels4
Special Issue Introduction: The Gordon Bell Special Prize for HPC-Based COVID-19 Research Finalists4
Highly efficient lattice Boltzmann multiphase simulations of immiscible fluids at high-density ratios on CPUs and GPUs through code generation4
Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer4
The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale4
Refining HPCToolkit for application performance analysis at exascale4
Exploiting mesh structure to improve multigrid performance for saddle-point problems3
Performance of linear solvers in tensor-train format on current multicore architectures3
Batched sparse direct solver design and evaluation in SuperLU_DIST3
Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants3
Enhancing data locality of the conjugate gradient method for high-order matrix-free finite-element implementations3
A GPU-accelerated adaptive FSAI preconditioner for massively parallel simulations3
Large-scale ab initio simulation of light–matter interaction at the atomic scale in Fugaku3
Corrigendum to ‘Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer’3
Coupling of regional geophysics and local soil-structure models in the EQSIM fault-to-structure earthquake simulation framework3
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management2
Towards exascale for wind energy simulations2
A Survey of Graph Comparison Methods with Applications to Nondeterminism in High-Performance Computing2
An analytical performance model of generalized hierarchical scheduling2
Myths and legends in high-performance computing2
Parallel encryption of input and output data for HPC applications2
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support2
A two-level GPU-accelerated incomplete LU preconditioner for general sparse linear systems2
Resiliency in numerical algorithm design for extreme scale simulations2
Enabling particle applications for exascale computing platforms2
HipBone: A performance-portable graphics processing unit-accelerated C++ version of the NekBone benchmark2
Designing and prototyping extensions to the Message Passing Interface in MPICH2
Efficient implementation of low-order-precision smoothed particle hydrodynamics2
Accelerating physics simulations with tensor processing units: An inundation modeling example2
Orchestration of materials science workflows for heterogeneous resources at large scale2
Numerical eigen-spectrum slicing, accurate orthogonal eigen-basis, and mixed-precision eigenvalue refinement using OpenMP data-dependent tasks and accelerator offload2
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics2
NUMA-aware parallel sparse LU factorization for SPICE-based circuit simulators on ARM multi-core processors1
Multiphysics coupling in the Exascale computing project1
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors1
A runtime based comparison of highly tuned lattice Boltzmann and finite difference solvers1
Online data analysis and reduction: An important Co-design motif for extreme-scale computers1
Breaking the exascale barrier for the electronic structure problem in ab-initio molecular dynamics1
Ginkgo - A math library designed to accelerate Exascale Computing Project science applications1
Clacc: OpenACC for C/C++ in Clang1
Efficiency and scalability of fully-resolved fluid-particle simulations on heterogeneous CPU-GPU architectures1
General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods1
A survey of software implementations used by application codes in the Exascale Computing Project1
Corrigendum to large-scale direct numerical simulations of turbulence using GPUs and modern Fortran1
Preparing MPICH for exascale1
Coarsening and parallelism with reduction multigrids for hyperbolic Boltzmann transport1
HDF5 in the exascale era: Delivering efficient and scalable parallel I/O for exascale applications1
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