II) Re-open the file. William Li was . [6/2022] A paper on mixed-precision AI model training is accepted into ATC'22. Google Scholar Profile. 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). Merced outstanding student. Shuangyan Yang (PhD student, since 2021 Spring), Jianbo Wu (PhD student, since 2023 Spring), Jie Ren (PhD student, graduated in May 2022. I previously received my PhD at University of California, Merced, advised by Prof. Dong Li. [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". [4/2022] Congratulations to my student, Wenqian Dong. [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. [10/2021] Invited to be TPDS (IEEE Transactions on Parallel and Distributed Systems) reviewer. 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. [6/2019] A paper Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation is accepted in SC'19. 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. The fall 2021 undergraduate fee is $904.75, and the graduate fee is $1,356.21. [11/2022] A paper "Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness" is accepted to PPoPP'23. Associate Professor. [HPDC] Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, and Sparsh Mittal. Parallel and Distributed Computing (JPDC), Journal of Supercomputing, The University of California is the world's leading public research university system. Dong Li worked as an Assistant Professor (Business/Economics/Engineering) for the University of California, Merced and in 2019 had a reported pay of $116,200. University of California, Merced. California (pht m nh "Ca-li-pht-ni-a" hay "Ca-li-phoc-ni-a", nu nhanh: "Ca-li-phoc-nha"), cn c ngi Vit gi vn tt l Cali hay phin m Hn Vit l Cu Kim Sn, l mt tiu bang ven bin pha ty ca Hoa K.Vi dn s l 38 triu ngi v din tch 410,000 km (158,402 mi 2), ln hn Vit Nam (331 nghn km2 . I am a Ph.D. student in the PADSYS Lab at University of California, Merced. Robin Gustafson, UC Davis (vice chair) Tom Bustos, UC Merced (SILS Operations Team chair) Todd Grappone, UC Los Angeles. Merced, CA 95343 [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) . [4/2021] Our work on training billion-scale NLP models on heterogeneous memory is accepted into USENIX ATC'21! Dong Li. University of California, Merced Please submit your lab results/code to CatCourses, including Makefile and a short report (up to one page). Here is my CV. dli35@ucmerced.edu. First employment: assistant professor at William and Mary), Wenqian Dong (PhD student, graduated in May 2022. Prof. Dong Li's work on high-performance computing has earned him a National Science Foundation (NSF) CAREER Award. You may find this MPI tutorial useful (computing.llnl/tutorials/mpi/). He is the director of Parallel Architecture, System, and Algorithm Lab (PASA). University of California, Merced 5200 North Lake Rd. The core theme of our research is to study how to enable scalable and efficient execution of applications (especially machine learning and artificial intelligence workloads) on increasingly complex large-scale parallel systems. University of California, Merced 5200 North Lake Rd. [9/2021] A paper, "Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors" is accepted into SEC'21. Person ReID, Data Augmentation, Unsupervised Learning. degree from Tsinghua University (THU) and Beijing University of Posts and Telecommunications (BUPT) on 2016 and 2013 respectively. Cartesian topology 2019 Meeting Day: Tuesdays, 1:30pm to 3pm. A paper "ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory" is accepted in FAST'21. [4/2022] Congratulations to my student, Jie Ren. 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. Human T-cell leukemia virus type 1 (HTLV-1) and type 2 (HTLV-2) retroviruses infect T lymphocytes. First employment: Meta Research), Zhen Xie (Postdoc, left in May 2021. [8/2022] Thanks SK hynix for supporting our research on heterogeneous memory. [11/2022] Our recent work on LLM-based Covid variant prediction models (GenSLMs) was awarded as Gordon Bell Special Prize at SC'22!!! degree from the Beijing Institute of Technology. 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. Professor, Department of Bioengineering, UC Merced. Introduction. Dr. Dong Li is an associate professor at University of California, Merced. Advisor (s): Li, Dong ( 2022) Tensors, which generalize matrices to more than two dimensions, are fundamental to many disciplines, such as scientific computing and machine learning. In addition, your browser should visually indicate that you are accessing a secure page. . This [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. Previously (2021-2022), I was a researcher at ByteDance (TikTok) Infrastructure System Lab. 107 Halsey Hall. His research emphasizes on High-Performance Computing (HPC) with a focus on the interaction between machine learning algorithms and system-level performance optimization. The following articles are merged in Scholar. Welcome to Applied Fractional Calculus (AFC @ UC Merced) Website! degree from the Beijing Institute of Technology. My research interests span operating systems, computer architecture, and their intersection with machine learning and high-performance computing. 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. chunk, each process updates it by adding its rank and then sends it back to root process. Electrical Engineering and Computer Science, School of Social Sciences, Humanities & Arts, Office of Executive Vice Chancellor and Provost, Physical Operations, Planning and Development, Non-volatile memory and memory heterogeneity, Fault tolerance/resilience in large-scale parallel and distributed systems. If you experience insomnia, I highly recommend you to take his class because his lectures can make you fall asleep easily. [New: A collection of FC books] [Our previous AFC activities can be found here and here] [Our new AFC Workshop Series @ UC Merced] 3/14/2019. GitHub / Google Scholar / [9/2020] A paper Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation is accepted in SC'20. Data Recovery. science from Virginia Tech. University of California, Merced | 5200 North Lake Rd. She will join the College of William and Mary as a tenure-track assistant professor since fall! degree and B.E. [6/2022] A paper on mixed-precision AI model training is accepted into ATC'22. Prof. Dong Li's work on high-performance computing has earned him a National Science Foundation (NSF) CAREER Award. [11/2022] Prof. Jian Huang@UIUC visited us and gave a talk "The ISA of Future Storage Systems: Interface, Specialization and Approach". Sarah Houghton, California Digital Library. [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). This lab is Copyright 2023 Zhen Xie Academic Home Page. 148 Amphitheater Way. and Ph.D. degrees. Before coming to UC Merced, I obtained my M.S. 10 -19 from the position 10 in the file and so on. His work has been published in multiple top-tier conferences and journals, including PPoPP, SC, ICS, EuroSys, TPDS. Merced, CA 95343 T: (209) 228-4400 2022 Previously (2011-2014), he was a research scientist at the Oak Ridge National Laboratory (ORNL). [11/2022] Group meeting with DarchR Lab@UC Davis for research collaboration. Students who wish to cover spouses, domestic partners or children should contact Health Services at health@ucmerced.edu for rates. At UC, out-of-state students must pay $46,326 per year over three times higher than what in-state students pay. 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. b. University of California, Merced records show Dong Li held one job from 2019 to 2020. of MPI processes to 4, 6, and 8, and measure the execution time. Are they the same number? Only two papers won this award. Department. degree and a graduate program leading to M.S. University of California, All current faculty in the School of Biological Sciences at UC San Diego. Anthony Li (BS 2014) Ivan Felix (BS 2015) Van Thai (BS 2015) Ryan Paw (BS 2015) Alex Anh-Tu Nguyen (BS 2017) Additional Links. Faculty Research List. [11/2022] A paper "Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness" is accepted to PPoPP'23. EPiGRAM-HS meeting at ETH. . He will join the Meta (facebook) AI Research. ZeRO-Offload: Democratizing Billion-Scale Model Training. Their, This "Cited by" count includes citations to the following articles in Scholar. Write a code that writes and reads a binary file in parallel according to the following steps: I) The first process writes integers 0-9 from the beginning of the file, the second process writes integer