Add to ORKGIn our work we present two parallel algorithms and their lock-free im-plementations using a popular GPU environment Nvidia CUDA. The first algorithm is the push-relabel method for the flow problem in grid graphs. The second is the cost scaling algorithm for the assignment problem in complete bipartite graphs.
This paper describes a numerical method for the parallel solution of the differential measure inclus...
Graph component labelling, which is a subset of the general graph colouring problem, is a computatio...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
W pracy są zaprezentowane dwa równoległe algorytmy oraz ich implementacje lock-free, wykorzystujące ...
Greedy graph matching provides us with a fast way to coarsen a graph during graph partitioning. Dire...
The maximum flow problem is a combinatorial problem of significant importance in a wide va-riety of ...
This paper presents GPU parallelization for a computational fluid dynamics solver which works on a m...
In this thesis we give the first parallel GPU-implementation of the ROMA algorithm suited for comple...
Modern Graphics Processing Units (GPUs) provide high computation power at low costs and have been de...
International audienceWe design, develop, and evaluate an atomic- and lock-free GPU implementation o...
Abstract — In many practical applications include image processing, space searching, network analysi...
[[abstract]]Graphics processing units (GPUs) have attracted a lot of attention due to their cost-eff...
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as m...
Graph component labelling, which is a subset of the general graph colouring problem, is a computatio...
We present a shared-memory parallelization of flow-based refinement, which is considered the most po...
This paper describes a numerical method for the parallel solution of the differential measure inclus...
Graph component labelling, which is a subset of the general graph colouring problem, is a computatio...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...
W pracy są zaprezentowane dwa równoległe algorytmy oraz ich implementacje lock-free, wykorzystujące ...
Greedy graph matching provides us with a fast way to coarsen a graph during graph partitioning. Dire...
The maximum flow problem is a combinatorial problem of significant importance in a wide va-riety of ...
This paper presents GPU parallelization for a computational fluid dynamics solver which works on a m...
In this thesis we give the first parallel GPU-implementation of the ROMA algorithm suited for comple...
Modern Graphics Processing Units (GPUs) provide high computation power at low costs and have been de...
International audienceWe design, develop, and evaluate an atomic- and lock-free GPU implementation o...
Abstract — In many practical applications include image processing, space searching, network analysi...
[[abstract]]Graphics processing units (GPUs) have attracted a lot of attention due to their cost-eff...
Graphics processor units (GPU) that are originally designed for graphics rendering have emerged as m...
Graph component labelling, which is a subset of the general graph colouring problem, is a computatio...
We present a shared-memory parallelization of flow-based refinement, which is considered the most po...
This paper describes a numerical method for the parallel solution of the differential measure inclus...
Graph component labelling, which is a subset of the general graph colouring problem, is a computatio...
The future of computation is the GPU, i.e. the Graphical Processing Unit. The graphics cards have sh...