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06/01/2023
Scaling Expected Force: Efficient Identification of Key Nodes in Network-based Epidemic Models
Centrality measures are fundamental tools of network analysis as they hi...
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03/04/2023
Multi-GPU aggregation-based AMG preconditioner for iterative linear solvers
We present and release in open source format a sparse linear solver whic...
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12/09/2022
Towards a learning-based performance modeling for accelerating Deep Neural Networks
Emerging applications such as Deep Learning are often data-driven, thus ...
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08/24/2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations
Important graph mining problems such as Clustering are computationally d...
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02/28/2022
Asynchronous Distributed-Memory Triangle Counting and LCC with RMA Caching
Triangle count and local clustering coefficient are two core metrics for...
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02/11/2022
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators
Tensor accelerators have gained popularity because they provide a cheap ...
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09/04/2019
GPU-based parallelism for ASP-solving
Answer Set Programming (ASP) has become, the paradigm of choice in the f...
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08/19/2019
A Computational Model for Tensor Core Units
To respond to the need of efficient training and inference of deep neura...
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06/19/2018
A model-driven approach for a new generation of adaptive libraries
Efficient high-performance libraries often expose multiple tunable param...
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10/10/2017
Accelerating Energy Games Solvers on Modern Architectures
Quantitative games, where quantitative objectives are defined on weighte...
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09/22/2016