{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/109460"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/109460","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Improved performance of the hPIC particle-in-cell code by incorporating a new non-uniform implicit mesh based on the PUMI infrastructure","abstract":"Uniform structured meshes are inefficient at capturing the high plasma gradients in a Scrape-Off-Layer (SOL). Especially in the magnetic and electrostatic sheaths forming in front of the material surfaces. The hPIC Particle In Cell code developed previously at UIUC has been modified to incorporate a new implicit, parameterized, non-uniform mesh using the Parallel Unstructured Mesh Infrastructure (PUMI) library developed at RPI to resolve the large field gradients in the plasma sheath region. The implicit nature of the mesh allows it to define meshes with the minimal number of parameters and generate all mesh information on-the-fly. The implicit mesh is particularly advantageous for large meshes, because it allows the avoidance of storing explicitly a large mesh, thus reducing the memory footprint, with a resulting speed up of the execution. The field solver for hPIC has been updated to comply with mesh non-uniformity. On top of the non-uniformity, the algorithm allows the splitting of the entire plasma domain into a number of blocks, termed as submeshes. The submeshes can be either uniform or non-uniform, of boundary layer type, with mesh size following a geometric gradation biased at the left or at the right node. The performance measurement of the non- uniform multi-block PUMI mesh based hPIC has been done for different domain size and mesh configurations. For a smaller domain size of 500 Debye lengths, a speed-up of nearly 2 is found, still maintaining an L2 norm of the error less than 1%. A speed-up of up to 16 is achieved with L 2 norm of error less than 1.1%. For a large plasma domain of 1.5 m, a speed-up of more than 100 is achieved. This work opens up the possibility of simulating large plasma domains in a full-orbit Particle-in-Cell at a reasonable computational time.","abstract_html":"Uniform structured meshes are inefficient at capturing the high plasma gradients in a Scrape-Off-Layer (SOL). Especially in the magnetic and electrostatic sheaths forming in front of the material surfaces. The hPIC Particle In Cell code developed previously at UIUC has been modified to incorporate a new implicit, parameterized, non-uniform mesh using the Parallel Unstructured Mesh Infrastructure (PUMI) library developed at RPI to resolve the large field gradients in the plasma sheath region. The implicit nature of the mesh allows it to define meshes with the minimal number of parameters and generate all mesh information on-the-fly. The implicit mesh is particularly advantageous for large meshes, because it allows the avoidance of storing explicitly a large mesh, thus reducing the memory footprint, with a resulting speed up of the execution. The field solver for hPIC has been updated to comply with mesh non-uniformity. On top of the non-uniformity, the algorithm allows the splitting of the entire plasma domain into a number of blocks, termed as submeshes. The submeshes can be either uniform or non-uniform, of boundary layer type, with mesh size following a geometric gradation biased at the left or at the right node. The performance measurement of the non- uniform multi-block PUMI mesh based hPIC has been done for different domain size and mesh configurations. For a smaller domain size of 500 Debye lengths, a speed-up of nearly 2 is found, still maintaining an L2 norm of the error less than 1%. A speed-up of up to 16 is achieved with L 2 norm of error less than 1.1%. For a large plasma domain of 1.5 m, a speed-up of more than 100 is achieved. This work opens up the possibility of simulating large plasma domains in a full-orbit Particle-in-Cell at a reasonable computational time.","abstract_has_math":false,"creators":["Huq, Md Fazlul"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Nuclear, Plasma, Radiolgc Engr","degree_department":null,"school":null,"contributors":["Curreli, Davide","Ruzic, David N"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-08-21","date_published":"2020-08-21","updated_at":"2026-07-22T22:24:50Z","subjects":["hPIC","Particle-In-Cell","Implicit Mesh","Non-uniform Mesh","Speed-up","Large Plasma Domain."],"languages":["en"],"rights":["Copyright 2020 Md Fazlul Huq"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/109460","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Curreli, Davide","Ruzic, David N"]},{"key":"dc:creator","label":"Author","values":["Huq, Md Fazlul"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-08-21","2020-12","2021-03-05T21:40:28Z","2023-03-05T21:43:00Z"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear, Plasma, Radiolgc Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["hPIC","Particle-In-Cell","Implicit Mesh","Non-uniform Mesh","Speed-up","Large Plasma Domain."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2020 Md Fazlul Huq"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/109460"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Uniform structured meshes are inefficient at capturing the high plasma gradients in a Scrape-Off-Layer (SOL). Especially in the magnetic and electrostatic sheaths forming in front of the material surfaces. The hPIC Particle In Cell code developed previously at UIUC has been modified to incorporate a new implicit, parameterized, non-uniform mesh using the Parallel Unstructured Mesh Infrastructure (PUMI) library developed at RPI to resolve the large field gradients in the plasma sheath region. The implicit nature of the mesh allows it to define meshes with the minimal number of parameters and generate all mesh information on-the-fly. The implicit mesh is particularly advantageous for large meshes, because it allows the avoidance of storing explicitly a large mesh, thus reducing the memory footprint, with a resulting speed up of the execution. The field solver for hPIC has been updated to comply with mesh non-uniformity. On top of the non-uniformity, the algorithm allows the splitting of the entire plasma domain into a number of blocks, termed as submeshes. The submeshes can be either uniform or non-uniform, of boundary layer type, with mesh size following a geometric gradation biased at the left or at the right node. The performance measurement of the non- uniform multi-block PUMI mesh based hPIC has been done for different domain size and mesh configurations. For a smaller domain size of 500 Debye lengths, a speed-up of nearly 2 is found, still maintaining an L2 norm of the error less than 1%. A speed-up of up to 16 is achieved with L 2 norm of error less than 1.1%. For a large plasma domain of 1.5 m, a speed-up of more than 100 is achieved. This work opens up the possibility of simulating large plasma domains in a full-orbit Particle-in-Cell at a reasonable computational time.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-12-01","The student, Md Fazlul Huq, accepted the attached license on 2020-08-19 at 14:38.","The student, Md Fazlul Huq, submitted this Thesis for approval on 2020-08-19 at 17:01.","This Thesis was approved for publication on 2020-08-21 at 08:53.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15750 on 2021-03-04 at 16:18:22","Made available in DSpace on 2021-03-05T21:40:28Z (GMT). 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Especially in the magnetic and electrostatic sheaths forming in front of the material surfaces. The hPIC Particle In Cell code developed previously at UIUC has been modified to incorporate a new implicit, parameterized, non-uniform mesh using the Parallel Unstructured Mesh Infrastructure (PUMI) library developed at RPI to resolve the large field gradients in the plasma sheath region. The implicit nature of the mesh allows it to define meshes with the minimal number of parameters and generate all mesh information on-the-fly. The implicit mesh is particularly advantageous for large meshes, because it allows the avoidance of storing explicitly a large mesh, thus reducing the memory footprint, with a resulting speed up of the execution. The field solver for hPIC has been updated to comply with mesh non-uniformity. On top of the non-uniformity, the algorithm allows the splitting of the entire plasma domain into a number of blocks, termed as submeshes. The submeshes can be either uniform or non-uniform, of boundary layer type, with mesh size following a geometric gradation biased at the left or at the right node. The performance measurement of the non- uniform multi-block PUMI mesh based hPIC has been done for different domain size and mesh configurations. For a smaller domain size of 500 Debye lengths, a speed-up of nearly 2 is found, still maintaining an L2 norm of the error less than 1%. A speed-up of up to 16 is achieved with L 2 norm of error less than 1.1%. For a large plasma domain of 1.5 m, a speed-up of more than 100 is achieved. This work opens up the possibility of simulating large plasma domains in a full-orbit Particle-in-Cell at a reasonable computational time.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-12-01","The student, Md Fazlul Huq, accepted the attached license on 2020-08-19 at 14:38.","The student, Md Fazlul Huq, submitted this Thesis for approval on 2020-08-19 at 17:01.","This Thesis was approved for publication on 2020-08-21 at 08:53.","DSpace SAF Submission Ingestion Package generated from Vireo submission #15750 on 2021-03-04 at 16:18:22","Made available in DSpace on 2021-03-05T21:40:28Z (GMT). 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