My research interests span operating systems, computer architecture, and their intersection with machine learning and high-performance computing. Current employment: Microsoft), Luanzheng Guo (PhD student, graduated in Oct 2020. 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. [8/2022] Welcome new PhD student, Jin Huang! Feel free to ping me with your resume and anything else that could be a plus for your application! D Li, JS Vetter, G Marin, C McCurdy, C Cira, Z . This is a collaboration work with Microsoft. Visual Object and Activity Recognition - Alexei A. Efros and Trevor Darrell (UC Berkeley) Computer Vision - Steve Seitz (University of Washington) Visual Recognition Spring 2016, Fall 2016 - Kristen Grauman (UT Austin) [11/2022] A paper Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness" is accepted into PPoPP'23. Merced, CA Before that, I received my Ph.D. in Electrical Engineering and Computer Sciences from University of California Merced, working with Prof. Dong Li on building efficient and scalable system supports for heterogeneous memory-based platforms. I received my Ph.D. from the University of California, Merced, supervised by Prof. Dong Li. Technical reviewers for major journals:IEEE Transaction on University of California, Merced degree from the Beijing Institute of Technology. [09/2022] A paper "A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads" is accepted at the 13th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS) at SC'22. Reliability (TR), IEEE Transaction on Computers (TC), Journal of LinkedIn / [9/2022] Welcome Prof. Tsung-wei Huang@Utah visits us. Merced and other places. 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. Dr. Dong Li is an associate professor at University of California, Merced. degree from The University of Edinburgh and Sun Yat-sen University (SYSU) on 2020 and 2019, respectively. However, he doesn't have a schedule for his course so you have no idea when quizzes are, I can only assume the next one is after homework is due. You may find this MPI tutorial useful (computing.llnl/tutorials/mpi/). Department. Associate Professor. The fall 2021 undergraduate fee is $904.75, and the graduate fee is $1,356.21. [4/2022] Congratulations to my student, Wenqian Dong. Wei-Chun Chin. I received my Ph.D. from University of California, Merced supervised by Ming-Hsuan Yang. Merced's Academic Honesty Policy. A tag already exists with the provided branch name. [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. High Performance Computing Parallel and Distributed Systems. Dong Li. First employment: ), Nigel Tan (Undergraduate student, graduated in 2017. I received my Ph.D. from the University of California, Merced, supervised by Prof. Dong Li. divided into the following two steps: Compare the local rank with the global MPI_COMM_WORLD rank. Mehdi Bahrami from UC Merced Cloud Lab won the another highly prestigious award, 2016 Fletcher Jones Fellowship award. [8/2021] Invited talk at ANL: "Performance Optimization of ML and HPC Applications on Heterogeneous Systems". [11/2022] A paper "Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness" is accepted to PPoPP'23. 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. Overview. calculating the square of its value) and finally broadcasts it to all the others MPI processes. Before that, he earned a PhD in computer These materials are the building blocks for future applications in quantum information science and high performance electronic devices. Congratulations! Notice that in order to do this the Cartesian communicator has [3/2021] Prof. Xu Liu from NCSU will give us a talk "Rethinking Performance Tools Research" on April 2. [4/2021] Our work on training billion-scale NLP models on heterogeneous memory is accepted into USENIX ATC'21! Professor, Department of Bioengineering, UC Merced. Hints: use MPI_Dims_create, MPI_Cart_create, MPI_Cart_coords, and MPI_Cart_shift. The following articles are merged in Scholar. 10 -19 from the position 10 in the file and so on. . Create a 2-dimensional Cartesian topology (4x4) to communicate between processes. Join PASA as a PhD student), Zachary Canann (Undergraduate student, graduated in 2016, as the UC Merced outstanding student. Lab Site. [1/2021] A paper Enabling Energy-Efficient DNN Training on Hybrid GPU-FPGA Accelerators is accepted in ICS'21. Dr. Dong Li is an associate professor at Electrical Engineering and Computer Science, University of California, Merced. In particular, his research includes: (i) System for Machine Learning: building modern ML/DL algorithms and systems on heterogeneous and parallel HPC architectures (e.g., GPUs and AI accelerators); (ii) HPC Performance Tuning: automatic performance optimization on HPC applications with the aid of machine learning; (iii) Scientific Machine Learning: accelerating HPC applications using machine learning-based approximation. tianxili at virginia dot edu. Tianxi Li. [10/2022] Will serve as a shadow PC member at EuroSys'23. science from Virginia Tech. Short Bio. [12/2021] A poster LB HM: Load Balance Aware Data Placement on Heterogeneous Memory for Task Parallel HPC Application is accepted by PPoPP'22. 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. In 1 year, the coronavirus disease 2019 (COVID-19) pandemic has resulted in 110 million cases and 2.5 million deaths worldwide (Dong et al. [9/2021] Thanks ANL and SK Hynix for supporting our research on machine learning systems and big memory! Previously (2011-2014), he was a research scientist at the Oak Ridge National Laboratory (ORNL). Hints: use MPI_scatter/gather, MPI_scatterv/gatherv. As you can see, CSU is far cheaper to attend than a UC schoolin fact, it's about $8,000 cheaper! [3/2021] Four papers are accepeted into ICS'21! Research Scientist @ Meta degree from Tsinghua University (THU) and Beijing University of Posts and Telecommunications (BUPT) on 2016 and 2013 respectively. [6/2022] A paper on mixed-precision AI model training is accepted into ATC'22. . This Previously (2021-2022), I was a researcher at ByteDance (TikTok) Infrastructure System Lab. Google Scholar Profile. Improving the performance and scalability of tensor computation is essential to those domains. A paper "ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory" is accepted in FAST'21. 5200 North Lake Rd. Sarah Houghton, California Digital Library. --> 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 Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. Merced County prosecutors filed murder charges Tuesday against a 50-year-old San Francisco man in connection with a slaying of a woman whose body was found in a Merced trash bin. Use the individual file pointers. [02/2023] A paper Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation" is accepted into ExHET'23. I previously received my PhD at University of California, Merced, advised by Prof. Dong Li. First employment: National Cancer Institute), Hanlin He (Master student, graduated in 2018. Previously (2011-2014), he was a research scientist at the Oak Ridge National Laboratory (ORNL). Dong Li. University of California, Merced All current faculty in the School of Biological Sciences at UC San Diego. 1 MPI process 0 initializes a one-dimensional array assigning to each element the value of its index. 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 . Zhen Xie is a postdoctoral researcher in Data Science group with Argonne Leadership Computing Facility (ALCF) at Argonne National Laboratory, supervised by Dr. Murali Emani. Contact: [email protected]. [9/2022] A paper on using heterogeneous memory to train GNN (titled "Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning") is accepted to ASPLOS'23. [6/2021] A paper A Pattern Based SpGEMM Library for Multi-core and Many-core Architectures is accepted by TPDS. [8/2021] A paper Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors is accepted by SEC'21. [email protected]. In 25th ACM International Symposium on High Performance Parallel and Distributed Computing (acceptance rate: 16%). Tel: 434-243-3367. One GPU may contain many types of memory of different properties. UC Merced; Newsroom; Executive Leadership; University Library; Academics. Coordinator: Dong Li Contact Information: SE2 211 [email protected] Designation: EECS245 Parallel Computing Office Hours . Dong's research focuses on high performance computing (HPC), and maintains a strong relevance to computer systems (especially systems for large-scale AI/ML). 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. [4/2022] Congratulations to my student, Wenqian Dong. Congratulations! [12/2022] Welcome new PhD students, Bin Ma and Jianbo Wu! The ones marked, R Ge, X Feng, S Song, HC Chang, D Li, KW Cameron, IEEE Transactions on Parallel and Distributed Systems 21 (5), 658-671, D Li, BR de Supinski, M Schulz, K Cameron, DS Nikolopoulos, 2010 IEEE International Symposium on Parallel & Distributed Processing, IEEE Transactions on Parallel and Distributed Systems 26 (6), 1524-1537, M Poremba, S Mittal, D Li, JS Vetter, Y Xie, 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE, SC'12: Proceedings of the International Conference on High Performance, 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture, D Li, JS Vetter, G Marin, C McCurdy, C Cira, Z Liu, W Yu, 2012 IEEE 26th International Parallel and Distributed Processing Symposium, Proceedings of the International Conference for High Performance Computing, Proceedings of the 29th ACM on International Conference on Supercomputing. Merced, CA 95343 Telephone: (209) 228-4400 Sessions: Feb 7 - Mindfulness Feb 14 - Self-Compassion My research work has been published in prestigious venues, including ICS, PPoPP, MICRO, ASPLOS, IPDPS, and EuroSys, and receives the ACM ASPLOS Distinguished Artifact Award in 2021. One of the only things that brings this school down is it's reputation. Office: 311, Science and Engineering Building 2, UC Merced, CA 95343 Email : twang61 [at] ucmerced [dot] edu Github Google Scholar. Before coming to UC Merced, I obtained my M.S. Join Google), Jing Liang (Undergraduate student, graduated in 2017. Tiantian Wang, Yongri Piao, Xiao Li, Lihe . Try again later. 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. First employment: assistant professor at Florida International University), Jiawen Liu (PhD student, graduated in May 2022. [01/2023] Have been awarded two Impact Argonne Awards in recognition of the contributions to AI for science for High Performance Computing and Enhancement of Argonnes Reputation. "Dong Li from UC Merced on the development of runtimes for automatic data management on heterogeneous memories: a trade-off between the cost of memory profiling, online analysis and data migration. University of California, Merced 5200 North Lake Rd. [8/2022] Thanks SK hynix for supporting our research on heterogeneous memory. Life is short. In particular, my research focuses on building efficient, fast, and scalable systems for machine learning on modern platforms. Their, This "Cited by" count includes citations to the following articles in Scholar. [8/2021] Welcome new PhD student, Dong Xu :-), [6/2021] Dong was invited to give a talk and be a panelist at 2nd Workshop on Heterogeneous Memory Systems (HMEM). [9/2020] A paper Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation is accepted in SC'20. degree and a graduate program leading to M.S. High performance computing; . She will join the Florida International University as a tenure-track assistant professor since fall! School of Engineering; [09/2022] A tutorial on "Programming New AI Accelerators for Scientific Computing" is accepted and will be presented at SC'22, [08/2022] Invited talk on Argonne Training Program on Extreme-Scale Computing (ATPESC 2022), [04/2022] Invited talk and service as panellist at Berkeley Lab: "Throughput-oriented and Accuracy-aware DNN Training with BFloat16 on GPU". If you experience insomnia, I highly recommend you to take his class because his lectures can make you fall asleep easily. 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. reading has been performed correctly. In addition, your browser should visually indicate that you are accessing a secure page. Anna Seiffert, UC Santa Barbara. [4/2022] Congratulations to my student, Jie Ren. Dong Li. I received my B.S. Human T-cell leukemia virus type 1 (HTLV-1) and type 2 (HTLV-2) retroviruses infect T lymphocytes. Before joining Meta, I worked at Pacific Northwest National Laboratory, Oak Ridge National Laboratory, Tencent America, and Meta. He will join the Meta (facebook) AI Research. The minus strand of the HTLV-1 genome encodes HBZ, a protein that could play a r Before (III): data per process, To see the binary file in ASCII use the command, Hints: Use MPI_File_Open, MPI_File_write, MPI_File_seek, MPI_File_get_size, MPI_File_read_at, (Undergraduate student, graduated in 2018, as the UC Merced outstanding student. [8/2022] Welcome new PhD student, Jin Huang! The spring 2022 undergraduate fee is $1,266.66, and the graduate fee is $1,898.70. array is then divided into equal chunks and sent to other processes. These scholarships are provided through the generosity of UC alumni, friends of UC Merced, corporations, businesses, professional associations and UC Merced. Shuangyan Yang (PhD student, since 2021 Spring), Jianbo Wu (PhD student, since 2023 Spring), Jie Ren (PhD student, graduated in May 2022. Before that, I received my Ph.D. in Electrical Engineering and Computer Sciences from University of California Merced, working with Prof. Dong Li on building efficient and scalable system supports for heterogeneous memory-based platforms.