OOIR: Observatory of International Research

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 2021-08-01 to 2025-08-01.)

Article	Citations
Dynamic spawning of MPI processes applied to malleability	53
Visualization at exascale: Making it all work with VTK-m	51
Enhancing scalability of a matrix-free eigensolver for studying many-body localization	48
Compressed basis GMRES on high-performance graphics processing units	39
Accelerating atmospheric physics parameterizations using graphics processing units	35
Large-scale ab initio simulation of light–matter interaction at the atomic scale in Fugaku	28
Automatizing the creation of specialized high-performance computing containers	25
Refining HPCToolkit for application performance analysis at exascale	19
Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management	14
HPC I/O innovations in the exascale era	14
Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants	14
Orchestration of materials science workflows for heterogeneous resources at large scale	13
HDF5 in the exascale era: Delivering efficient and scalable parallel I/O for exascale applications	13
Julia versus C++ Kokkos for performance portable Cartesian CFD solvers on heterogeneous architectures	11
Ginkgo - A math library designed to accelerate Exascale Computing Project science applications	10
Preparing MPICH for exascale	9
A tale of two codes: CUDA vs OpenACC for mass-zero constrained dynamics	8
General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods	8
Performance of explicit and IMEX MRI multirate methods on complex reactive flow problems within modern parallel adaptive structured grid frameworks	7
An elastic framework for ensemble-based large-scale data assimilation	7
Special issue introduction	7
GPU-based molecular dynamics of fluid flows: Reaching for turbulence	7
Hypergraph-based locality-enhancing methods for graph operations in Big Data applications	7
Retraction Notice	7
Massively parallel nodal discontinous Galerkin finite element method simulator for room acoustics	6

A study on the performance of distributed training of data-driven CFD simulations	6
Integrating ytopt and libEnsemble to autotune OpenMC	6
Accelerated dynamic data reduction using spatial and temporal properties	6
PeleC: An adaptive mesh refinement solver for compressible reacting flows	5
Fast truncated SVD of sparse and dense matrices on graphics processors	5
Heterogeneous programming using OpenMP and CUDA/HIP for hybrid CPU-GPU scientific applications	5
Special issue: Introduction	5
Preparing the TAU performance system for exascale and beyond	5
Cache blocking of distributed-memory parallel matrix power kernels	5
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors	5
Clacc: OpenACC for C/C++ in Clang	4
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials	4
Bricks: A high-performance portability layer for computations on block-structured grids	4
NUMA-aware parallel sparse LU factorization for SPICE-based circuit simulators on ARM multi-core processors	4
Semi-Lagrangian 4d, 5d, and 6d kinetic plasma simulation on large-scale GPU-equipped supercomputers	4
Feynman and computation: From Los Alamos to quantum computers	4
Accelerating cluster dynamics simulation of fission gas behavior in nuclear fuel on deep computing unit–based heterogeneous architecture supercomputer	4
Data-driven scalable pipeline using national agent-based models for real-time pandemic response and decision support	4
Understanding power and energy utilization in large scale production physics simulation codes	4
A population data-driven workflow for COVID-19 modeling and learning	4