{"_buckets": {"deposit": "cb16949a-1940-4b75-be1e-b278386b2646"}, "_deposit": {"id": "436", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "436"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/436"}, "control_number": "436", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Parallel Processing of Numerical Integrations on High-Performance Computing cluster", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Numerical methods can be used to solve the increasing complexity of scientific problems. The\r solution of scientific and engineering problems sometimes requires integration of an\r expression. High-Performance Computing(HPC) uses a cluster of servers to split complex\r computations into smaller tasks that can be calculated in parallel on multiple servers. HPC\r Services for Excel include service-oriented architecture (SOA) clients and services that enable\r developers to quickly convert workbooks to run on a cluster. As computations and models of\r workbooks increase in size and complexity, the time required for calculation grows and\r workbook use becomes cumbersome due to long waits for calculation results. The HPC system\r is developed to provide users speed-up in Excel calculations on it by reducing in size,\r complexity and calculation time. This work describes how an HPC cluster can be utilized to\r run Excel calculations in parallel and generating Fresnel diffraction of arbitrary dimensions by\r using Fresnel integrals. Excel includes Visual Basic for Applications (VBA) language. VBA\r is the tool to develop programs that control Excel. The system is operated by Windows\u00ae HPC\r Server 2008 R2 and Office Excel 2010 process is used to calculate the workbook in the cluster.\r Keywords: High Performance Computing, HPC cluster, Windows\u00ae HPC Server 2008 R2,\r SOA clients, Microsoft Office Excel 2010, Numerical Integrations"}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "High Performance Computing"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-05-05"}], "displaytype": "preview", "filename": "May Myint Thwe\uf02a, Pho Kaung.pdf", "filesize": [{"value": "823 Kb"}], "format": "application/pdf", "licensetype": "license_free", "mimetype": "application/pdf"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "1", "subitem_journal_title": "Yadanabon University Research Journal", "subitem_volume": "9"}]}, "item_1583103147082": {"attribute_name": "Conference papaers", "attribute_value_mlt": [{}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_supervisor(s)": []}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "May Myint Thwe"}, {"subitem_authors_fullname": "Pho Kaung"}]}]}, "item_1583108359239": {"attribute_name": "Upload Type", "attribute_name_i18n": "Upload Type", "attribute_value": "Publication"}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_name_i18n": "Publication type", "attribute_value": "Journal article"}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_name_i18n": "Publication date", "attribute_value": "2018"}, "item_title": "Parallel Processing of Numerical Integrations on High-Performance Computing cluster", "item_type_id": "21", "owner": "1", "path": ["1582963788001/1582966639740"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000000436", "publish_date": "2020-03-05", "publish_status": "0", "recid": "436", "relation": {}, "relation_version_is_last": true, "title": ["Parallel Processing of Numerical Integrations on High-Performance Computing cluster"], "weko_creator_id": "1", "weko_shared_id": -1}