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20092026
most citedMultilevel Summation for Dispersion: A Linear-Time Algorithm for Potentials

21 citations · 191 across the 67 of their papers we have counts for

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Showing 2017Show all

8 papers · 1 filter

cs.SD2017

Assessment of sound spatialisation algorithms for sonic rendering with headsets

Ali Tarzan, Marco Alunno, Paolo Bientinesi

Given an input sound signal and a target virtual sound source, sound spatialisation algorithms manipulate the signal so that a listener perceives it as though it were emitted from…

cs.PL2017★ 4 cited

MatchPy: A Pattern Matching Library

Manuel Krebber, Henrik Barthels, Paolo Bientinesi

Pattern matching is a powerful tool for symbolic computations, based on the well-defined theory of term rewriting systems. Application domains include algebraic expressions, abstra…

cs.CE2017

The Tersoff many-body potential: Sustainable performance through vectorization

Markus Höhnerbach, Ahmed E. Ismail, Paolo Bientinesi

Molecular dynamics models materials by simulating each individual particle's trajectory. Many-body potentials lead to a more accurate trajectory simulation, and are used in materia…

cs.PL2017

Efficient Pattern Matching in Python

Manuel Krebber, Henrik Barthels, Paolo Bientinesi

Pattern matching is a powerful tool for symbolic computations. Applications include term rewriting systems, as well as the manipulation of symbolic expressions, abstract syntax tre…

cs.MS2017

Spin Summations: A High-Performance Perspective

Paul Springer, Devin Matthews, Paolo Bientinesi

Besides tensor contractions, one of the most pronounced computational bottlenecks in the non-orthogonally spin-adapted forms of the quantum chemistry methods CCSDT and CCSDTQ, and…

cs.MS2017

HPTT: A High-Performance Tensor Transposition C++ Library

Paul Springer, Tong Su, Paolo Bientinesi

Recently we presented TTC, a domain-specific compiler for tensor transpositions. Despite the fact that the performance of the generated code is nearly optimal, due to its offline n…

cs.CE2017

LAMMPS' PPPM Long-Range Solver for the Second Generation Xeon Phi

William McDoniel, Markus Höhnerbach, Rodrigo Canales +2

Molecular Dynamics is an important tool for computational biologists, chemists, and materials scientists, consuming a sizable amount of supercomputing resources. Many of the invest…

physics.comp-ph2017

A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics

Paul Springer, Ahmed E. Ismail, Paolo Bientinesi

Recent results on supercomputers show that beyond 65K cores, the efficiency of molecular dynamics simulations of interfacial systems decreases significantly. In this paper, we intr…