3.2k citations
- Chalmers University of TechnologySE58 papers
- Sungkyunkwan UniversityKR58 papers
- Centre National de la Recherche ScientifiqueFR53 papers
- Ruhr University BochumDE53 papers
- Jönköping UniversitySE36 papers
- KTH Royal Institute of TechnologySE35 papers
- Stockholm UniversitySE33 papers
- University College LondonGB29 papers
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1,170 papers
Beyond the Limits: Flexible and Congestion-Aware Cluster Scheduling for the Cloud
Oliver Larsson, Thijs Metsch, Cristian Klein +1
Workload scheduling in cloud environments often relies on simplistic assumptions about application resource needs and hardware utilization. Overlooking application-level performanc…
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…
Mixed-Precision For Energy Efficient Computations
Gülçin Gedik, Robert Schöne, Roman Iakymchuk
As simulations grow more realistic, the pursuit of higher accuracy results in extended computation times and substantial power consumption. This study explores mixed-precision comp…
Efficient Regex Matching with Sparse Counting-Sets
Martin Berglund, Brink van der Merwe, Sicheol Sung
Regular expressions with counting operations (c-regexes) offer a compact representation of repeating patterns by allowing numerical bounds to be added to subexpressions. Recent wor…
Selective Memoization for Efficient Backtracking Regular Expression Matching
Martin Berglund, Brink van der Merwe, Iain le Roux
Backtracking regular expression matchers are widely used due to their expressive power but may exhibit exponential worst-case matching time. Memoization provides a principled metho…
Generalized TV-- Structured Priors for Bayesian Mapping
Disi Lin, Martin Berggren, Tommy Löfstedt
We propose an extended family of structured spatial priors that incorporates the total variation (TV) function with norms. The prior is proven to be proper and incorporate…