Sarah Houghton, California Digital Library. Dept. High performance computing; Only two papers won this award. From the NSF: The CAREER awards are given to junior faculty members who exemplify. : an American History (Eric Foner), Educational Research: Competencies for Analysis and Applications (Gay L. R.; Mills Geoffrey E.; Airasian Peter W.), Forecasting, Time Series, and Regression (Richard T. O'Connell; Anne B. Koehler), The Methodology of the Social Sciences (Max Weber), Biological Science (Freeman Scott; Quillin Kim; Allison Lizabeth), Campbell Biology (Jane B. Reece; Lisa A. Urry; Michael L. Cain; Steven A. Wasserman; Peter V. Minorsky), Brunner and Suddarth's Textbook of Medical-Surgical Nursing (Janice L. Hinkle; Kerry H. Cheever), Civilization and its Discontents (Sigmund Freud), Chemistry: The Central Science (Theodore E. Brown; H. Eugene H LeMay; Bruce E. Bursten; Catherine Murphy; Patrick Woodward), Psychology (David G. Myers; C. Nathan DeWall), Business Law: Text and Cases (Kenneth W. Clarkson; Roger LeRoy Miller; Frank B. 5200 North Lake Rd. Dong Li 0001 University of California, Merced, CA, USA (and 2 more) Dong Li 0002 PLA University of Science and Technology, College of Command Information System, Nanjing, China Dong Li 0003 Nanjing Agricultural University, NETCIA, Jiangsu Key Laboratory for Information Agriculture, China Dong Li Professor in the Computer Science department at University of California Merced 0% Would take again 3 Level of Difficulty Rate Professor Li I'm Professor Li Submit a Correction Check out Similar Professors in the Computer Science Department 4.33 Florin Rusu 3.75 Angelo Kyrilov 3.60 Alberto Cerpa 1 Student Ratings All courses Quality 2.0 [3/2021] Our collaboration work with LLNL on MPI fault tolerance benchmark suite is reported by HPCWire. 5200 North Lake Rd. My research interests span operating systems, computer architecture, and their intersection with machine learning and high-performance computing. [9/2021] A paper, "Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors" is accepted into SEC'21. PC (co-) chair: Cluster (data/storage track, 2023), HCA (2023), PASA (2012, 2013, and 2016), HP-PAC (2013 and 2014), Editorial position: TPDS review board member; Co-editor, special Issue of the Journal of High Performance Computing Applications for the fourth International Workshop on Accelerators and Hybrid Exascale Systems. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. My advisor is Prof. Xiaoyi Lu. Introduction. [11/2022] Prof. Jian Huang@UIUC visited us and gave a talk "The ISA of Future Storage Systems: Interface, Specialization and Approach". Telephone: (209) 228-4400, Management Analytics and Decision Making Minor, Electrical Engineering and Computer Science (EECS), Materials and Biomaterials Science and Engineering (MBSE), Management of Innovation, Sustainability and Technology (MIST), EECS (Electrical Engineering and Computer Science), School of Social Sciences, Humanities & Arts, Office of Executive Vice Chancellor and Provost, Physical Operations, Planning and Development, Fault tolerance/resilience in large-scale parallel and distributedsystems. [12/2021] A paper TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling is accepted by ACM Transactions on Architecture and Code Optimization (TACO) . Join Rice as a PhD student), Hanlin He (Undergraduate student, graduated in 2016, as the UC Merced outstanding student. Before coming to UC Merced, I received my M.S. Research Scientist @ Meta My research aims to improve the performance and resource efficiency of heterogeneous computing systems while making it easier for users to deploy and manage their applications. Parallel and Distributed Systems (TPDC),IEEE Transaction on
Robin Gustafson, UC Davis. Our work creates innovation in runtime, architecture, performance modeling, and programming models; We also investigate the impact of novel architectures (e.g., CXL-based memory and accelerator with massive parallelism) on the designs of applications and runtime. Overview. First employment: ctrip), Himanshu Pillai (Master student, graduated in 2016. I received my Ph.D. from the University of California, Merced, supervised by Prof. Dong Li. [5/2022] Dong Xu and Jie Liu will go to SK hynix and Tencent for summer internship. I am a Ph.D. student in the PADSYS Lab at University of California, Merced. Check that the A paper " Optimizing Large-Scale Plasma Simulations on Persistent Memory-based Heterogeneous Memory with Effective Data Placement Across Memory Hierarchy" is accepted in ICS'21. [4/2022] Congratulations to my student, Jie Ren. Google Scholar / From the NSF: The CAREER awards are given to junior faculty members who exemplify. [6/2019] A paper Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation is accepted in SC'19. 1 MPI process 0 initializes a variable to a given value, then modifies the variable (for example, by She will join the Florida International University as a tenure-track assistant professor since fall! First employment: ), Nigel Tan (Undergraduate student, graduated in 2017. High Performance Computing Parallel and Distributed Systems. The Department of Computer Science offers an undergraduate major leading to a B.S. Athena: High-Performance Sparse Tensor Contraction Sequence on Heterogeneous Memory, Enabling Energy-Efficient DNN Training on Hybrid GPU-FPGA Accelerators, Sparta: High-Performance, Element-Wise Sparse Tensor Contraction on Heterogeneous Memory, Fast, Flexible and Comprehensive Bug Detection for Persistent Memory Programs, Tahoe: Tree Structure-Aware High Performance Inference Engine for Decision Tree Ensemble on GPU, RIANN: Real-Time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices, Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training, Processing in Memory for Energy-Efficient CNN Training: A Heterogeneous Approach, HOMP: Automated Distribution of Parallel Loops and Data in Highly Parallel Accelerator-Based Systems, Fall 2020: Pacific Northwest National Laboratory (PNNL), Summer 2020: Pacific Northwest National Laboratory (PNNL), Summer 2018: Oak Ridge National Laboratory (ORNL). [8/2022] Thanks SK hynix for supporting our research on heterogeneous memory. Anna Seiffert, UC Santa Barbara. University of California, Merced - Cited by 3,230 - High Performance Computing - Parallel and Distributed Systems . Before Merced was opened in 2005, the San Joaquin Valley was the most populated part of the state without a UC campus. Only one Ph.D. who advanced to Ph.D. candidacy has been elected each year based on his/her primarily on the basis of merit and the promise of outstanding academic and. Dong Li Major product: Surge Protector, High Voltage Ceramic Capacitor, Varistor, Condensator, SPD, Electronic type Instrument Transformer, Solid Sealed Polar Pole (VXG) Xi'an Xian Xiwuer. 107 Halsey Hall. . Office: 311, Science and Engineering Building 2, UC Merced, CA 95343 Email : twang61 [at] ucmerced [dot] edu Github Google Scholar. He was previously an Assistant Professor at UC Riverside before joining UC Berkeley in 2011, and since 2013 he has also held a joint appointment at the Lawrence Berkeley National Laboratory (LBNL) in the Materials Science Division. For more information, please click here for the Curriculum Vitae. Merced, CA 95343 Telephone: (209) 228-4400 His research emphasizes on High-Performance Computing (HPC) with a focus on the interaction between machine learning algorithms and system-level performance optimization. III) Each process writes the data just read in the following way (supposing that there are 4 processes): The tradeoffs of fused memory hierarchies in heterogeneous computing architectures, PORPLE: An extensible optimizer for portable data placement on GPU, Exploring hybrid memory for GPU energy efficiency through software-hardware co-design, Strategies for energy-efficient resource management of hybrid programming models, Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs, Quantitatively modeling application resilience with the data vulnerability factor, Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach, Performance analysis and characterization of training deep learning models on mobile device, Power-aware MPI task aggregation prediction for high-end computing systems, PCM-based durable write cache for fast disk I/O. Dong Li. He obtained his Ph.D. degree at Institute of Computing Technology of the Chinese Academy of Sciences. Dong Yu Professor Department of Physics and Astronomy University of California at Davis Office: 203 Physics Phone: 530-754-0832 Fax: 530-752-4717 Email: yu at physics.ucdavis.edu 2021- Professor of Physics and Astronomy, University of California at Davis . A tag already exists with the provided branch name. Email: dli35@ucmerced.edu Website Ph.D. Students Jie Liu Jie Liu is a Ph.D. candidate with research focuses on computer systems. The best way to place data in memory is sensitive to many factors (e.g . 95343, 2nd Workshop on Heterogeneous Memory Systems (HMEM), a keynote at the Eleventh International Workshop on Accelerators and Hybrid Emerging Systems (AsHES), Electrical Engineering and Computer Science, High Performance Computing Systems and Architecture Group, Seventh International Workshop on Extreme Scale Programming Models and Middleware. [11/2022] Prof. Jian Huang@UIUC visited us and gave a talk "The ISA of Future Storage Systems: Interface, Specialization and Approach". Name. J Ren, S Rajbhandari, RY Aminabadi, O Ruwase, S Yang, M Zhang, D Li, USENIX Annual Technical Conference, 551-564, KL Spafford, JS Meredith, S Lee, D Li, PC Roth, JS Vetter, Proceedings of the 9th conference on Computing Frontiers, 103-112, 2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 88-100, B Wang, B Wu, D Li, X Shen, W Yu, Y Jiao, JS Vetter, Proceedings of the 22nd international conference on Parallel architectures, D Li, BR De Supinski, M Schulz, DS Nikolopoulos, KW Cameron, IEEE Transactions on parallel and distributed Systems 24 (1), 144-157, SC18: International Conference for High Performance Computing, Networking, SC'14: Proceedings of the International Conference for High Performance, Proceedings of the International Conference on High Performance Computing, 2019 IEEE 25th International Conference on Parallel and Distributed Systems, D Li, DS Nikolopoulos, K Cameron, BR de Supinski, M Schulz, Z Liu, B Wang, P Carpenter, D Li, JS Vetter, W Yu, 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation, New articles related to this author's research, Professor of Computer Science, Virginia Tech, Assistant Professor at ECE and Mehta Family School of DS&AI, IIT Roorkee, Professor of Computer Science, North Carolina State University, Professor of Computer Science, Florida State University, Powerpack: Energy profiling and analysis of high-performance systems and applications, A survey of architectural approaches for managing embedded DRAM and non-volatile on-chip caches, Destiny: A tool for modeling emerging 3d nvm and edram caches, Classifying soft error vulnerabilities in extreme-scale scientific applications using a binary instrumentation tool, Processing-in-memory for energy-efficient neural network training: A heterogeneous approach, Identifying opportunities for byte-addressable non-volatile memory in extreme-scale scientific applications, Unimem: Runtime data managementon non-volatile memory-based heterogeneous main memory, Enabling and exploiting flexible task assignment on GPU through SM-centric program transformations. He is the director of Parallel Architecture, System, and Algorithm Lab (PASA) and a co-director of High Performance Computing Systems and Architecture Group at UC Merced. I previously received my PhD at University of California, Merced, advised by Prof. Dong Li. University of California, Merced. [9/2021] Thanks ANL and SK Hynix for supporting our research on machine learning systems and big memory! degree and B.S. SE2 211. Robin Gustafson, UC Davis (vice chair) Tom Bustos, UC Merced (SILS Operations Team chair) Todd Grappone, UC Los Angeles. Prof. Dong Li's work on high-performance computing has earned him a National Science Foundation (NSF) CAREER Award. If you are going to take CSE 15, make sure you study the textbook by yourself. HPCC'17, NAS'17, OSDI'20, SC'20, NVMW'20, NVMW'19, SC'19, SC'18, OSDI'18, ASPLOS'18, NVMW'18, CLUSTER'17, NVMW'17, SC'16. Dong's research focuses on high performance computing (HPC), and maintains a strong relevance to computer systems (especially systems for large-scale AI/ML). Before coming to UC Merced, I obtained my M.S. Verified email at ucmerced.edu - Homepage. Merced, CA 95343
Designed by Jon Barron & Limin Yang, HPCC'2022 & 2021 & 2020, Eurosys'21 (shadow PC), DOE SBIR/STTR, IEEE Transactions on Parallel and Distributed Systems, IEEE Access, Future Generation Computer Systems, IPDPS'21, NPC'20, CLUSTER'20, NPC'19, ICPP'19, SC'18, IPDPS'17, CLUSTER'17, Any work submitted by a student in this course for academic credit will be the student's own work. Coordinator: Dong Li Contact Information: SE2 211 dli35@ucmerced.edu Designation: EECS245 Parallel Computing Office Hours . [10/2022] Will serve as a shadow PC member at EuroSys'23. Department. University of California, Congratulations! My research interests lie in high performance computing, computer architecture, and machine learning. The Merced campus is a destination all its own, yet still close to many major cities and natural resources: an hour north of Fresno, two hours south of Sacramento, two hours southeast of San Francisco and the Silicon Valley . [9/2020] A paper Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation is accepted in SC'20. 15h I promised myself to never take the beautiful view of #Sierras from @ucmerced Dong Li Title: Associate Professor Phone: +1 (209) 228-2488 Email: dli35@ucmerced.edu Location: SE2 211 Website: Lab Site Research Interests: High performance computing Fault tolerance/resilience in large-scale parallel and distributed systems Power-aware computing Performance modeling and optimization Education: Ph.D., 2011, Virginia Tech You are encouraged to study together and to discuss information and concepts . [4/2022] Congratulations to my student, Jiawen Liu. Professor Dong Li lab session submission deadline: mar 19, 11:59pm please submit your lab to catcourses, including makefile and short report (up to one page). Reliability (TR), IEEE Transaction on Computers (TC), Journal of
The results verified that our method can better reveal the underlying sparse sensitivities of different layers in both high redundancy networks and compact networks, so that resulting a higher network accuracy after pruning . Our work creates innovation in runtime, architecture, performance modeling, and programming models; We also investigate the impact of novel architectures (e.g., CXL-based memory and accelerator with massive parallelism) on the designs of applications and runtime. Prior, he was a postdoctoral researcher in Electrical Engineering and Computer Science at University of California Merced, working with Prof. Dong Lion building efficient system supports for HPC and AI/DL workloads on persistent memory and GPU platforms. School of Engineering; He is the director of Parallel Architecture, System, and Algorithm Lab (PASA) and a co-director of High Performance Computing Systems and Architecture Group at UC Merced. [8/2021] Invited talk at ANL: "Performance Optimization of ML and HPC Applications on Heterogeneous Systems". A paper, "Campo: A Cost-Aware and High-Performance Mixed Precision Optimizer for Neural Network Training", is accepted to ATC'22. At UC Merced, is pursuing a new line of groundbreaking research on gravitational radiation. Aislinn Sotelo, UCSD. The spring 2022 undergraduate fee is $1,266.66, and the graduate fee is $1,898.70. [11/2022]Dong Li was invited as a panelist in the panel on "AI for HPC" inSeventh International Workshop on Extreme Scale Programming Models and Middlewareassociated with SC'22. Professor and Department Chair (BioE) wchin2@ucmerced.edu. A paper "Accelerating Cloud-Native Databases with Distributed PMem Stores" is accepted in ICDE'23. [03/2022] A paper Throughput-oriented and Accuracy-aware DNN Training with BFloat16 on GPU" is accepted at IPDPSW'22. He will join the Meta (facebook) AI Research. The University of California is the world's leading public research university system. I am a research scientist at Meta AI System Co-design. [11/2022] Invited as a panelist in the panel on "AI for HPC" in. to be periodic (i., the bottom rank is neighbor of the top). My research interests span operating systems, computer architecture, and their intersection with machine learning and high-performance computing. For information about our group members, see our People page. Each process reads the data just written by using an explicit offset. MPI_File_set_view, MPI_File_write_alll, Copyright 2023 StudeerSnel B.V., Keizersgracht 424, 1016 GC Amsterdam, KVK: 56829787, BTW: NL852321363B01, Give Me Liberty! [11/2022] Thanks Lawrence Livermore National Lab (LLNL) for supporting our research on heterogeneous memory! 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