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#parallel algorithms

6 results
physics.comp-ph2019

Enabling Simulation of High-Dimensional Micro-Macro Biophysical Models through Hybrid CPU and Multi-GPU Parallelism

Steven Cook, Tamar Shinar

The paper introduces a parallel algorithm that leverages hybrid CPU and multi‑GPU hardware to accelerate high‑dimensional micro‑macro biophysical simulations, achieving speedups of…

#micro-macro modeling#gpu acceleration#parallel algorithms#high-dimensional simulation
cs.DC2019

Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark

Frank Schoeneman, Jaroslaw Zola

The paper presents and evaluates four parallel implementations of the All-Pairs Shortest-Paths problem for large undirected weighted graphs using Apache Spark, demonstrating scalab…

#all-pairs shortest paths#apache spark#distributed graph processing#parallel algorithms
cs.DS2019

Learned Clause Minimization in Parallel SAT Solvers

Marc Hartung, Florian Schintke

The paper investigates how learned clause minimization techniques, especially clause vivification, affect the performance of parallel SAT solvers, finding that they help only on a…

#sat solving#parallel algorithms#clause learning#clause vivification
cs.DS2019

Deterministic Algorithms for the Lovasz Local Lemma

Karthekeyan Chandrasekaran, Navin Goyal, Bernhard Haeupler

The paper presents deterministic and parallelizable algorithms that efficiently construct solutions guaranteed by the Lovász Local Lemma, improving on previous deterministic method…

#derandomization#lovasz local lemma#k-cnf satisfiability#parallel algorithms
cs.DC2019

Hierarchical Block Multi-Color Ordering: A New Parallel Ordering Method for Vectorization and Parallelization of the Sparse Triangular Solver in the ICCG Method

Takeshi Iwashita, Senxi Li, Takeshi Fukaya

The paper introduces a hierarchical block multi‑color ordering technique that enables vectorized and parallel forward/backward substitutions in sparse triangular solves, improving…

#sparse linear algebra#parallel algorithms#vectorization#multi‑color ordering
cs.GR2019

Parallel and Scalable Heat Methods for Geodesic Distance Computation

Jiong Tao, Juyong Zhang, Bailin Deng +3

The paper introduces a parallel, low‑memory algorithm for computing geodesic distances on large triangle meshes by reformulating the heat method as a gradient‑optimization problem…

#geodesic distance#heat method#parallel algorithms#triangle meshes