程大釗
437bwin必贏國際官網(wǎng) 計(jì)算機(jī)科學(xué)系 人工智能研究所 教授 (博導(dǎo))
姓名：程大釗 主頁： 性別：男 職稱：教授 (博導(dǎo),) 學(xué)歷學(xué)位：博士 電話：027-68776120 辦公地點(diǎn)：437bwin必贏國際官網(wǎng)E401 E-mail：dcheng ▇ whu.edu.cn 請手工替換符號 領(lǐng)域：并行分布計(jì)算,高性能計(jì)算,人工智能,云計(jì)算與大數(shù)據(jù)處理,智能計(jì)算, 招生信息：年度招收碩士0名，招收方向：。 招收博士0名，招收方向：。
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研究方向
程大釗，437bwin必贏國際官網(wǎng) 教授、博導(dǎo)。主要從事存算一體化、分布式計(jì)算等方面的研究工作，近期致力于研究面向人工智能負(fù)載的新型存內(nèi)計(jì)算架構(gòu)，具有豐富的計(jì)算機(jī)系統(tǒng)研究基礎(chǔ)和經(jīng)驗(yàn)。先后入選為湖北省“百人計(jì)劃”特聘教授，“武漢英才”創(chuàng)新人才。同時(shí)，擔(dān)任437bwin必贏國際官網(wǎng)副院長，CCF分布式計(jì)算與系統(tǒng)專委會常務(wù)委員、國家重點(diǎn)研發(fā)計(jì)劃和基金委重點(diǎn)項(xiàng)目首席科學(xué)家。2016-2020年在美國北卡大學(xué)計(jì)算機(jī)系擔(dān)任Tenure Track助理教授，曾擔(dān)任國家科技部、廣東省和湖北省科技廳重點(diǎn)項(xiàng)目、美國和加拿大國家科學(xué)基金等評審專家。在權(quán)威計(jì)算機(jī)系統(tǒng)領(lǐng)域的期刊和會議上發(fā)表論文50篇并申請專利10多項(xiàng)，其中第一/通訊作者發(fā)表30余篇（含CCF A類20余篇）。先后主持了國家重點(diǎn)研發(fā)計(jì)劃1項(xiàng)、國家自然科學(xué)基金委重點(diǎn)項(xiàng)目1項(xiàng)，美國NSF面上項(xiàng)目2項(xiàng)和其它省部級項(xiàng)目若干，共主持過科研項(xiàng)目經(jīng)費(fèi)約1700萬元。同時(shí)應(yīng)邀在多個(gè)國際國內(nèi)學(xué)術(shù)組織中任職，擔(dān)任4個(gè)學(xué)術(shù)期刊客座編委，5個(gè)國際會議的主席，28個(gè)國際會議的技術(shù)委員會委員。
實(shí)驗(yàn)室主頁：icslab.whu.edu.cn
歡迎對分布式系統(tǒng)和AI System感興趣的同學(xué)加入，有意向者請把簡歷、成績單和專業(yè)排名發(fā)郵件至：dcheng@whu.edu.cn ！
教育背景
(1) 2011-8至2016-5, 美國科羅拉多大學(xué), 計(jì)算機(jī)科學(xué), 博士
(2) 2006-9至2009-6, 中國科學(xué)技術(shù)大學(xué), 模式識別與人工智能，碩士
(3) 2002-9至2006-6, 合肥工業(yè)大學(xué), 自動化, 學(xué)士
工作經(jīng)驗(yàn)
(1) 2020-9至現(xiàn)在, 437bwin必贏國際官網(wǎng), 437bwin必贏國際官網(wǎng), 教授
(2) 2016-7至2020-9, 美國北卡羅來納大學(xué), 計(jì)算機(jī)科學(xué)系, 助理教授
教授課程
《大數(shù)據(jù)分析與處理》。
發(fā)表論文
§ 期刊論文
[1] T Li; Z Qiu; D Cheng; W Wang; X Shi; Y Wang*: Privacy-Preserving Participant Grouping for Mobile Social Sensing over Edge Clouds. IEEE Transactions on Network Science and Engineering (TNSE), 2021.
[2] D Cheng; Y Wang; D Dai*: Dynamic Resource Provisioning for Iterative Workloads on Apache Spark. IEEE Transactions on Cloud Computing (TCC), 2021.（SCI一區(qū)）
[3] W Rang; D Yang; D Cheng*: Dependency-aware Tensor Scheduler for Industrial AI Applications. IEEE Industrial Electronics Magazine (IEM), 2021.（SCI一區(qū)）
[4] W Rang; D Yang; D Cheng*: Yu Wang; Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021.（CCF A類）
[5] D Yang, D Cheng*, W Rang, Y Wang: Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers. IEEE Transactions on Cloud Computing (TCC), 2019.（SCI一區(qū)）
[6] D Cheng*, X Zhou, Y Xu, L Liu, C Jiang: Deadline-aware MapReduce job scheduling with dynamic resource availability. IEEE transactions on parallel and distributed systems (TPDS), 2018:30 (4), 814-826.（CCF A類）
[7] D Cheng*, X Zhou, Z Ding, Y Wang, M Ji: Heterogeneity aware workload management in distributed sustainable datacenters. IEEE Transactions on Parallel and Distributed Systems (TPDS),2018:30 (2), 375-387.（CCF A類）
[8] D Cheng*, X Zhou, Y Wang, C Jiang: Adaptive scheduling parallel jobs with dynamic batching in spark streaming. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018:29 (12), 2672-2685.（CCF A類）
[9] D Cheng*, X Zhou, P Lama, M Ji, C Jiang: Energy efficiency aware task assignment with dvfs in heterogeneous hadoop clusters. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017:29 (1), 70-82.（CCF A類）
[10] D Cheng, X Zhou*, P Lama, J Wu, C Jiang: Cross-platform resource scheduling for spark and mapreduce on yarn. IEEE Transactions on Computers (TC). 2017:66 (8), 1341-1353.（CCF A類）
[11] D Cheng, J Rao, Y Guo, C Jiang, X Zhou*: Improving performance of heterogeneous mapreduce clusters with adaptive task tuning. IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016:28 (3), 774-786.（CCF A類）
[12] Y Guo, J Rao, D Cheng, X Zhou*: ishuffle: Improving hadoop performance with shuffle-on-write. IEEE transactions on parallel and distributed systems (TPDS), 2016:28 (6), 1649-1662.
[13] D Cheng, J Rao, C Jiang, X Zhou*: Elastic power-aware resource provisioning of heterogeneous workloads in self-sustainable datacenters. IEEE Transactions on Computers (TC). 2015:65 (2), 508-521.（CCF A類）
[14] D Cheng, Y Guo, C Jiang, X Zhou*: Self-tuning batching with dvfs for performance improvement and energy efficiency in internet servers. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2015:10 (1), 1-32.
§ 會議論文
[1] W Rang, D Yang, D Cheng: A Shared Memory Cache Layer across Multiple Executors in Apache Spark.2020 IEEE International Conference on Big Data (Big Data), 477-482.
[2] D Yang, W Rang, D Cheng: Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters.Proceedings of the 21st International Middleware Conference (Middleware), 386-399.
[3] W Rang, D Yang, D Cheng*, K Suo, W Chen: Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning.2020 IEEE International Conference on Cluster Computing (CLUSTER), 392-398.
[4] K Suo, Y Shi, X Xu, D Cheng, W Chen:Tackling Cold Start in Serverless Computing with Container Runtime Reusing.Proceedings of the Workshop on Network Application Integration/CoDesign, 54-55.
[5] D Yang, D Cheng: Efficient gpu memory management for nonlinear dnns. Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 185-196.
[6] J Tian, S Di, C Zhang, X Liang, S Jin, D Cheng, D Tao*, F Cappello: Wavesz: A hardware-algorithm co-design of efficient lossy compression for scientific data. Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), 74-88.
[7] D Yang, W Rang, D Cheng, Y Wang, J Tian, D Tao:Elastic Executor Provisioning for Iterative Workloads on Apache Spark. 2019 IEEE International Conference on Big Data (Big Data), 413-422.
[8] TBG Perez, X Zhou, D Cheng: Reference-distance eviction and prefetching for cache management in spark. Proceedings of the 47th International Conference on Parallel Processing (ICPP), 1-10 12.
[9] D Yang, W Rang, D Cheng: Joint optimization of mapreduce scheduling and network policy in hierarchical clouds. Proceedings of the 47th International Conference on Parallel Processing (ICPP), 1-10.
[10] P Lama, S Wang, X Zhou, D Cheng: Performance isolation of data-intensive scale-out applications in a multi-tenant cloud. 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 85-94.
[11] D Cheng, Y Chen, X Zhou, D Gmach, D Milojicic: Adaptive scheduling of parallel jobs in spark streaming. IEEE INFOCOM 2017-IEEE Conference on Computer Communicationsc(INFOCOM), 1-9.（CCF A類）
[12] D Cheng, P Lama, C Jiang, X Zhou: Towards energy efficiency in heterogeneous hadoop clusters by adaptive task assignment. 2015 IEEE 35th International Conference on Distributed Computing Systems (ICDCS). 359-368.
[13] D Cheng, J Rao, C Jiang, X Zhou: Resource and deadline-aware job scheduling in dynamic hadoop clusters. 2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 956-965.
[14] Y Guo, J Rao, D Cheng, C Jiang, CZ Xu, X Zhou: Storeapp: A shared storage appliance for efficient and scalable virtualized hadoop clusters. 2015 IEEE Conference on Computer Communications (INFOCOM), 594-602.
[15] D Cheng, J Rao, Y Guo, X Zhou: Improving mapreduce performance in heterogeneous environments with adaptive task tuning. Proceedings of the 15th International Middleware Conference (Middleware), 97-108.
[16] D Cheng, C Jiang, X Zhou: Heterogeneity-aware workload placement and migration in distributed sustainable datacenters. 2014 IEEE 28th International Parallel and Distributed Processing Symposium (IPDPS), 307-316.
[17] D Cheng, Y Guo, X Zhou: Self-tuning batching with dvfs for improving performance and energy efficiency in servers. 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS),40-49.
科研課題
1.美國自然科學(xué)基金委員會，面上項(xiàng)目2項(xiàng)；
2.北卡萊羅納州科研基金委員會，青年基金項(xiàng)目1項(xiàng)。
研究團(tuán)隊(duì)
2020年9月至今，在437bwin必贏國際官網(wǎng)擔(dān)任教授期間，已組建了擁有4名博士和5名碩士研究生的科研團(tuán)隊(duì)。
知識產(chǎn)權(quán)
[1] Y Chen, DS Milojicic, D Cheng: Managing data processing resources. US Patent 10,037,230
學(xué)術(shù)服務(wù)
IEEE Transactions on Cloud Computing (TOC) 審稿人
IEEE Transactions on Parallel and Distributed Systems (TPDS) 審稿人
IEEE Conference on Computer Communications (INFOCOM’14,15,16) 審稿人
USENIX International Conference on Autonomic Computing (ICAC’13,14,15) 審稿人
成果展示
其他
