Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Hager, Georg"'
Autor:
Lacey, Dane C., Alappat, Christie L., Lange, Florian, Hager, Georg, Fehske, Holger, Wellein, Gerhard
Sparse matrix-vector products (SpMVs) are a bottleneck in many scientific codes. Due to the heavy strain on the main memory interface from loading the sparse matrix and the possibly irregular memory access pattern, SpMV typically exhibits low arithme
Externí odkaz:
http://arxiv.org/abs/2405.12525
In this paper we analyze the MPI-only version of the CloverLeaf code from the SPEChpc 2021 benchmark suite on recent Intel Xeon "Ice Lake" and "Sapphire Rapids" server CPUs. We observe peculiar breakdowns in performance when the number of processes i
Externí odkaz:
http://arxiv.org/abs/2311.04797
A parallel program together with the parallel hardware it is running on is not only a vehicle to solve numerical problems, it is also a complex system with interesting dynamical behavior: resynchronization and desynchronization of parallel processes,
Externí odkaz:
http://arxiv.org/abs/2310.05701
In this work, fundamental performance, power, and energy characteristics of the full SPEChpc 2021 benchmark suite are assessed on two different clusters based on Intel Ice Lake and Sapphire Rapids CPUs using the MPI-only codes' variants. We use memor
Externí odkaz:
http://arxiv.org/abs/2309.05373
Sparse linear iterative solvers are essential for many large-scale simulations. Much of the runtime of these solvers is often spent in the implicit evaluation of matrix polynomials via a sequence of sparse matrix-vector products. A variety of approac
Externí odkaz:
http://arxiv.org/abs/2309.02228
Comprehending the performance bottlenecks at the core of the intricate hardware-software interactions exhibited by highly parallel programs on HPC clusters is crucial. This paper sheds light on the issue of automatically asynchronous MPI communicatio
Externí odkaz:
http://arxiv.org/abs/2302.12164
Autor:
Machado, Rafael Ravedutti Lucio, Eitzinger, Jan, Laukemann, Jan, Hager, Georg, Köstler, Harald, Wellein, Gerhard
Molecular dynamics (MD) simulations provide considerable benefits for the investigation and experimentation of systems at atomic level. Their usage is widespread into several research fields, but their system size and timescale are also crucially lim
Externí odkaz:
http://arxiv.org/abs/2302.14660
Publikováno v:
ACM Trans. Parallel Comput. 10, 16 (2023)
We address the communication overhead of distributed sparse matrix-(multiple)-vector multiplication in the context of large-scale eigensolvers, using filter diagonalization as an example. The basis of our study is a performance model which includes a
Externí odkaz:
http://arxiv.org/abs/2209.01974
This paper studies the utility of using data analytics and machine learning techniques for identifying, classifying, and characterizing the dynamics of large-scale parallel (MPI) programs. To this end, we run microbenchmarks and realistic proxy appli
Externí odkaz:
http://arxiv.org/abs/2205.13963