Computational Models and Algorithms for Domain-Specific Accelerators

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 334

Special Issue Editors


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Guest Editor
Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131 Padova, PD, Italy
Interests: computer science; high performance computing; mobile computing; applied computing; applications of machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Engineering, University of Padova, I-35131 Padova, Italy
Interests: algorithms and data structures for big data; parallel and memory-efficient algorithms; algorithms for similarity search; models of computation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

At a time when the demand for computing power is on the rise in several domains, the hitting of fundamental limits has almost flattened the curve of performance gains previously offered, generation after generation, by general-purpose processors. The reaction so far has been designing domain-specific accelerators (DSAs)—specialized computational units that feature increased computational power and/or power efficiency once again, but only for specific computations. However, there is mounting scientific evidence that DSAs can be also effective in computations not originally intended by their designers: for instance, sparse matrix-matrix multiplication and discrete Fourier transform can be implemented efficiently on NVIDIA’s Tensor Core Units, or Google’s Tensor Processing Units.

For this Special Issue, we are inviting computer scientists to submit original results or surveys investigating the implications of DSAs in a broad sense. Possible research topics include, but are not limited to, the following.

  • Computational models for DSAs.
  • Design and analysis of algorithms for DSAs, as well as experimental results on the applications of such algorithms.
  • Theoretical limits to processor specialization.

We particularly welcome contributions for computations not originally intended by the designers of the DSAs, and/or in unconventional application domains, and contributions concerning computational models that encompass multiple DSAs or classes of DSAs.

This is a joint special issue with Algorithms.

Dr. Carlo Fantozzi
Prof. Francesco Silvestri
Guest Editors

Manuscript Submission Information

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Keywords

  • Domain-specific accelerators
  • High-performance computing
  • Computational models
  • Bridging models
  • Analysis of algorithms
  • Parallel algorithms
  • Algorithms and complexity
  • Theory of computation

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Published Papers

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