{"doi":"10.1145/3609335","title":"TAPA: A Scalable Task-parallel Dataflow Programming Framework for Modern FPGAs with Co-optimization of HLS and Physical Design","abstract":"In this article, we propose TAPA, an end-to-end framework that compiles a C++ task-parallel dataflow program into a high-frequency FPGA accelerator. Compared to existing solutions, TAPA has two major advantages. First, TAPA provides a set of convenient APIs that allows users to easily express flexible and complex inter-task communication structures. Second, TAPA adopts a coarse-grained floorplanning step during HLS compilation for accurate pipelining of potential critical paths. In addition, TAPA implements several optimization techniques specifically tailored for modern HBM-based FPGAs. In our experiments with a total of 43 designs, we improve the average frequency from 147 MHz to 297 MHz (a 102% improvement) with no loss of throughput and a negligible change in resource utilization. Notably, in 16 experiments, we make the originally unroutable designs achieve 274 MHz, on average. The framework is available at https://github.com/UCLA-VAST/tapa and the core floorplan module is available at https://github.com/UCLA-VAST/AutoBridge","journal":"ACM Transactions on Reconfigurable Technology and Systems","year":2023,"id":321736,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":43,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.949,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":569116,"name":"Yuze Chi","orcid":"0000-0002-5885-0425","position":1,"is_corresponding":false},{"id":803925,"name":"Jason Lau","orcid":"0000-0003-0751-8227","position":2,"is_corresponding":false},{"id":1034469,"name":"Linghao Song","orcid":"0000-0002-7450-2842","position":3,"is_corresponding":false},{"id":1034470,"name":"Xingyu Tian","orcid":"0000-0001-6244-2101","position":4,"is_corresponding":false},{"id":1034471,"name":"Moazin Khatti","orcid":"0009-0001-0081-9812","position":5,"is_corresponding":false},{"id":803926,"name":"Weikang Qiao","orcid":"0000-0003-1946-2021","position":6,"is_corresponding":false},{"id":803924,"name":"Jie Wang","orcid":"0000-0002-2133-7943","position":7,"is_corresponding":false},{"id":803927,"name":"Ecenur Ustun","orcid":"0000-0001-6546-1367","position":8,"is_corresponding":false},{"id":1034472,"name":"Zhenman Fang","orcid":"0000-0003-0603-9697","position":9,"is_corresponding":false},{"id":803928,"name":"Zhiru Zhang","orcid":"0000-0002-0778-0308","position":10,"is_corresponding":false},{"id":569120,"name":"Jason Cong","orcid":"0000-0003-2887-6963","position":11,"is_corresponding":false},{"id":569117,"name":"Licheng Guo","orcid":"0000-0002-0705-9510","position":0,"is_corresponding":true}],"reference_count":62,"raw_metadata":null,"created_at":"2026-07-19T01:07:37.596550Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}