The deal. II library, version 9.4
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A review of healthy and fibrotic myocardium microstructure modeling and corresponding intracardiac electrograms
Computational simulations of cardiac electrophysiology provide detailed information on the
depolarization phenomena at different spatial and temporal scales. With the development of …
depolarization phenomena at different spatial and temporal scales. With the development of …
Tilespmv: A tiled algorithm for sparse matrix-vector multiplication on gpus
With the extensive use of GPUs in modern supercomputers, accelerating sparse matrix-
vector multiplication (SpMV) on GPUs received much attention in the last couple of decades …
vector multiplication (SpMV) on GPUs received much attention in the last couple of decades …
GPU-resident sparse direct linear solvers for alternating current optimal power flow analysis
K Świrydowicz, N Koukpaizan, T Ribizel… - International Journal of …, 2024 - Elsevier
Integrating renewable resources within the transmission grid at a wide scale poses
significant challenges for economic dispatch as it requires analysis with more optimization …
significant challenges for economic dispatch as it requires analysis with more optimization …
DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication
Sparse matrix-vector multiplication (SpMV) plays a key role in computational science and
engineering, graph processing, and machine learning applications. Much work on SpMV …
engineering, graph processing, and machine learning applications. Much work on SpMV …
Adaptive precision block-Jacobi for high performance preconditioning in the Ginkgo linear algebra software
The use of mixed precision in numerical algorithms is a promising strategy for accelerating
scientific applications. In particular, the adoption of specialized hardware and data formats …
scientific applications. In particular, the adoption of specialized hardware and data formats …
Haspmv: Heterogeneity-aware sparse matrix-vector multiplication on modern asymmetric multicore processors
Sparse matrix-vector multiplication (SpMV) is a fundamental routine in computational
science and engineering. Its optimization methods on various homogeneous parallel …
science and engineering. Its optimization methods on various homogeneous parallel …
An Empirical Study of High Performance Computing (HPC) Performance Bugs
Performance efficiency and scalability are the major design goals for high performance
computing (HPC) applications. However, it is challenging to achieve high efficiency and …
computing (HPC) applications. However, it is challenging to achieve high efficiency and …
Compressed basis GMRES on high-performance graphics processing units
Krylov methods provide a fast and highly parallel numerical tool for the iterative solution of
many large-scale sparse linear systems. To a large extent, the performance of practical …
many large-scale sparse linear systems. To a large extent, the performance of practical …
Evaluating the performance of NVIDIA's A100 Ampere GPU for sparse and batched computations
H Anzt, YM Tsai, A Abdelfattah… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
GPU accelerators have become an Important backbone for scientific high performance-
computing, and the performance advances obtained from adopting new GPU hardware are …
computing, and the performance advances obtained from adopting new GPU hardware are …