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To push or to pull: On reducing communication and synchronization in graph computations
We reduce the cost of communication and synchronization in graph processing by analyzing
the fastest way to process graphs: pushing the updates to a shared state or pulling the …
the fastest way to process graphs: pushing the updates to a shared state or pulling the …
An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM
Advances in computing power have enabled computational fluid dynamics (CFD) to become
a crucial tool in aerodynamic design. To facilitate CFD-based design, the combination of …
a crucial tool in aerodynamic design. To facilitate CFD-based design, the combination of …
What color is your Jacobian? Graph coloring for computing derivatives
Graph coloring has been employed since the 1980s to efficiently compute sparse Jacobian
and Hessian matrices using either finite differences or automatic differentiation. Several …
and Hessian matrices using either finite differences or automatic differentiation. Several …
[PDF][PDF] The parallel BGL: A generic library for distributed graph computations
This paper presents the Parallel BGL, a generic C++ library for distributed graph
computation. Like the sequential Boost Graph Library (BGL) upon which it is based, the …
computation. Like the sequential Boost Graph Library (BGL) upon which it is based, the …
Parallel graph component labelling with GPUs and CUDA
Graph component labelling, which is a subset of the general graph colouring problem, is a
computationally expensive operation that is of importance in many applications and …
computationally expensive operation that is of importance in many applications and …
Graphminesuite: Enabling high-performance and programmable graph mining algorithms with set algebra
We propose GraphMineSuite (GMS): the first benchmarking suite for graph mining that
facilitates evaluating and constructing high-performance graph mining algorithms. First …
facilitates evaluating and constructing high-performance graph mining algorithms. First …
High-performance parallel graph coloring with strong guarantees on work, depth, and quality
We develop the first parallel graph coloring heuristics with strong theoretical guarantees on
work and depth and coloring quality. The key idea is to design a relaxation of the vertex …
work and depth and coloring quality. The key idea is to design a relaxation of the vertex …
[كتاب][B] Combinatorial scientific computing
Combinatorial techniques have become essential tools across the landscape of
computational science, and some of the combinatorial ideas undergirding these tools are …
computational science, and some of the combinatorial ideas undergirding these tools are …
Lifting sequential graph algorithms for distributed-memory parallel computation
This paper describes the process used to extend the Boost Graph Library (BGL) for parallel
operation with distributed memory. The BGL consists of a rich set of generic graph …
operation with distributed memory. The BGL consists of a rich set of generic graph …
[PDF][PDF] Parallel graph coloring with applications to the incomplete-LU factorization on the GPU
In this technical report we study different parallel graph coloring algorithms and their
application to the incomplete-LU factorization. We implement graph coloring based on …
application to the incomplete-LU factorization. We implement graph coloring based on …