10 citations · 17 across the 11 of their papers we have counts for
11 papers
Distributed Semi-Speculative Parallel Anisotropic Mesh Adaptation
Kevin Garner, Polykarpos Thomadakis, Nikos Chrisochoides
This paper presents a distributed memory method for anisotropic mesh adaptation that is designed to avoid the use of collective communication and global synchronization techniques.…
3-Dimensional Adaptive Unstructured Tessellated Look-up Tables for the Approximation of Compton Form Factors
Charles Hyde, Mitch Kerver, Christos Tsolakis +8
We describe an iterative algorithm to construct an unstructured tessellation of simplices (irregular tetrahedra in 3-dimensions) to approximate an arbitrary function to a desired p…
Tasking framework for Adaptive Speculative Parallel Mesh Generation
Christos Tsolakis, Polykarpos Thomadakis, Nikos Chrisochoides
Handling the ever-increasing complexity of mesh generation codes along with the intricacies of newer hardware often results in codes that are both difficult to comprehend and maint…
Towards Distributed Semi-speculative Adaptive Anisotropic Parallel Mesh Generation
Kevin Garner, Christos Tsolakis, Polykarpos Thomadakis +1
This paper presents the foundational elements of a distributed memory method for mesh generation that is designed to leverage concurrency offered by large-scale computing. To achie…
Experience with Distributed Memory Delaunay-based Image-to-Mesh Conversion Implementation
Polykarpos Thomadakis, Nikos Chrisochoides
This paper presents some of our findings on the scalability of parallel 3D mesh generation on distributed memory machines. The primary objective of this study was to evaluate a dis…
Runtime Support for Performance Portability on Heterogeneous Distributed Platforms
Polykarpos Thomadakis, Nikos Chrisochoides
Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected t…
Towards Performance Portable Programming for Distributed Heterogeneous Systems
Polykarpos Thomadakis, Nikos Chrisochoides
Hardware heterogeneity is here to stay for high-performance computing. Large-scale systems are currently equipped with multiple GPU accelerators per compute node and are expected t…
Convolutional Auto-Encoders for Drift Chamber data de-noising for CLAS12
Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos +1
In this article, we present the results of using Convolutional Auto-Encoders for de-noising raw data for CLAS12 drift chambers. The de-noising neural network provides increased eff…
CLAS12 Track Reconstruction with Artificial Intelligence
Gagik Gavalian, Polykarpos Thomadakis, Angelos Angelopoulos +3
In this article we describe the implementation of Artificial Intelligence models in track reconstruction software for the CLAS12 detector at Jefferson Lab. The Artificial Intellige…
Using Machine Learning for Particle Track Identification in the CLAS12 Detector
Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian +1
Particle track reconstruction is the most computationally intensive process in nuclear physics experiments. Traditional algorithms use a combinatorial approach that exhaustively te…
Reed-Solomon and Concatenated Codes with Applications in Space Communication
Polykarpos Thomadakis, Antonios Argyriou
In this paper we provide a detailed description of Reed-Solomon (RS) codes, the most important algorithms for decoding them, and their use in concatenated coding systems for space…