[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-detail-179939-en":59,"doc-seo-179939-105":81},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":5,"data":60},{"doc_id":61,"user_id":62,"nickname":63,"user_avatar":64,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":66,"doc_content":67,"file_id":68,"file_url":69,"file_type":70,"file_size":71,"view_count":39,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":72,"language":73,"language_code":74,"site_id":75,"html_lang":74,"table_of_contents":76,"faqs":77,"seo_title":78,"seo_description":66,"update_tm":79,"read_time":80},179939,1099514068035,"Ezra","https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Kismet-CC: Instruction-Level Parallelism and Expressible Self-Parallelism in OpenMP","This document details the investigation into instruction-level parallelism (ILP) and expressible self-parallelism within the Kismet-CC framework, specifically focusing on its application with OpenMP. It presents performance results demonstrating speedup estimates across multiple cores, indicating how effectively the system utilizes parallel processing. The analysis includes a breakdown of performance on different platforms, comparing raw execution speeds against multicore optimizations. Furthermore, the document explores overheads associated with both non-reduction and reduction parallelization, providing cycle counts for various configurations. The core of the document lies in its quantitative assessment of parallelization strategies, offering insights into the efficiency and scalability of Kismet-CC when employed with OpenMP for parallel computing tasks. The platform comparison highlights the impact of different hardware architectures (modified MIPS and AMD Opteron) on the performance of parallel execution strategies like ILP and DOALL within the OpenMP context.","| $> make CC=kismet-cc\u003Cbr>$> $(PROGRAM) $(INPUT)\u003Cbr>$> kismet--openmp |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Cores Speedup (est.) | 1 1 | 2 2 | 4\u003Cbr>3.8 | 8\u003Cbr>3.8 | 16\u003Cbr>3.8 | 32\u003Cbr>3.8 | 64\u003Cbr>3.8 |\n\n|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| \u003Cbr>LQVWUXPHQWRU LQVWUXPHQWHGELQDU\\\u003Cbr>5GNH􀀏2CTCNNGNKUO 2TQHKNGT | \u003Cbr>([HFXWH 􀀉 3URILOH | \u003Cbr>5WOOCTK\\GF 4GIKQP 2TQHKNG | | \u003Cbr>\u003Cbr>([SUHVVLEOH 6HOI􀀐3DUDOOHOLVP\u003Cbr>\u003Cbr>5HJLRQ ([HFXWLRQ 7LPH 0RGHO\u003Cbr>\u003Cbr>3DUDOOHOL]DWLRQ 3ODQQHU\u003Cbr>5RGGFWR 2TGFKEVQT |\n|  |  |  |  |  |\n\n| Type | Serial |  | DOACROSS |  | DOALL |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CP (R) |  CP CP  …  CP \u003Cbr>\u003Cbr>N * CP |  |  CP   CP \u003Cbr>…\u003Cbr> CP \u003Cbr>\u003Cbr>(N/2) * CP |  |  CP   CP \u003Cbr>…\u003Cbr>\u003Cbr>CP\u003Cbr>\u003Cbr>CP |  |\n| SP (R) | N * CP\u003Cbr>N * CP | = 1.0 | N * CP\u003Cbr>(N/2) * CP | = 2.0 | N * CP\u003Cbr>CP | = N |\n\n| Platform | Raw | Multicore |\n| --- | --- | --- |\n\n\n| Core Type L1 Size\u003Cbr>L2 Size\u003Cbr>L3 Size | Modi􀀂ed MIPS 32KB / Core\u003Cbr>-\u003Cbr>- | AMD Opteron 64KB / Core 512KB / Core 6MB / Four Cores |\n| --- | --- | --- |\n| SW Platform | RawCC | OpenMP |\n| Expressible\u003Cbr>Parallelism | ILP | DOALL |\n| Non Reduction Parallelization Overhead (cycles) | 2 + 2 √N | 250 * N |\n| Reduction Parallelization Overhead (cycles) | 2 + 2 √N | 500 * N |","cbCaitYSLNCEcKi7","https://ap.wps.com/l/cbCaitYSLNCEcKi7","pdf",372933,18,"English","en",105,"# Performance Analysis\n## Speedup Estimates\n## Parallelization Strategies\n## Overhead Analysis","[{\"question\":\"What is the purpose of Kismet-CC in this document?\",\"answer\":\"Kismet-CC is a framework used for investigating instruction-level parallelism and expressible self-parallelism, particularly in conjunction with OpenMP.\"},{\"question\":\"How is performance measured in this document?\",\"answer\":\"Performance is measured by estimating speedup across multiple cores and by analyzing the overhead cycles for both non-reduction and reduction parallelization strategies.\"},{\"question\":\"What are the two main types of parallelism discussed?\",\"answer\":\"The document discusses Instruction-Level Parallelism (ILP) and Expressible Self-Parallelism, with a focus on DOALL as a parallelization strategy within OpenMP.\"}]","Kismet-CC: Instruction-Level Parallelism and Expressible Self-Parallelism in OpenMP | 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