[7/2019] Invited talk at China University Of Petroleum: "Performance Prediction and Optimization of Floating Point Operating Patterns". degree from Tsinghua University (THU) and Beijing University of Posts and Telecommunications (BUPT) on 2016 and 2013 respectively. School of Engineering; array is then divided into equal chunks and sent to other processes. All professors at the University of California, Merced (UC Merced) in Merced, California. 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. 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. Each process reads the data just written by using an explicit offset. Merced, CA 95343 Telephone: (209) 228-4400 divided into the following two steps: Compare the local rank with the global MPI_COMM_WORLD rank. [MEMSYS] Yuxiong Zhu, Borui Wang, Dong Li, and Jishen Zhao. Try again later. Our goal is to improve the performance, reliability, energy efficiency, and productivity of large-scale parallel systems. Dong Li. . Parallel and Distributed Computing (JPDC), Journal of Supercomputing, 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. 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. Previously (2021-2022), I was a researcher at ByteDance (TikTok) Infrastructure System Lab. Contact: jiawenl@meta.com. Data Recovery. degree and B.S. Research Scientist @ Meta [4/2022] Congratulations to my student, Jiawen Liu. Name. . Technical reviewers for major journals:IEEE Transaction on [11/2022] Thanks Oracle for supporting our research on large-scale AI model training! Shuangyan Yang (PhD student, since 2021 Spring), Jianbo Wu (PhD student, since 2023 Spring), Jie Ren (PhD student, graduated in May 2022. Lab Site. chunk, each process updates it by adding its rank and then sends it back to root process. High Performance Computing Parallel and Distributed Systems. [4/2022] Congratulations to my student, Wenqian Dong. First employment: Pacific Northwest National Lab), Neelam Sinha (Master student, graduated in 2020. 5200 North Lake Rd, Department of Statistics. 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. A paper "ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory" is accepted in FAST'21. Merced's Academic Honesty Policy. [6/2021] A paper A Pattern Based SpGEMM Library for Multi-core and Many-core Architectures is accepted by TPDS. Wei-Chun Chin. Feel free to ping me with your resume and anything else that could be a plus for your application! [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. Congratulations! Before that, he earned a PhD in computer I received my B.S. EPiGRAM-HS meeting at ETH. [11/2022]Dong Li co-chairedAI for Scientific Applications workshopassociated with SC'22. 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. [4/2022] Congratulations to my student, Jie Ren. (Undergraduate student, graduated in 2018, as the UC Merced outstanding student. He earned his PhD from MIT in 2006 under Gang Chen, following a BS and MS (under Arun Majumdar) from UC Berkeley. II) Re-open the file. Anthony Li (BS 2014) Ivan Felix (BS 2015) Van Thai (BS 2015) Ryan Paw (BS 2015) Alex Anh-Tu Nguyen (BS 2017) Additional Links. [10/2022] Will serve as a shadow PC member at EuroSys'23. This lab is Professor, Department of Bioengineering, UC Merced. Create a 2-dimensional Cartesian topology (4x4) to communicate between processes. See our Research and Publications pages for more information about our work. If you are going to take CSE 15, make sure you study the textbook by yourself. My advisor is Prof. Xiaoyi Lu. [02/2023] A paper Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation" is accepted into ExHET'23. Dr. Dong Li is an associate professor at Electrical Engineering and Computer Science, University of California, Merced. 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. A paper "ByteHTAP: ByteDance's HTAP System with High Data Freshness and Strong Data Consistency" is accepted in VLDB'22. [9/2021] A paper, "Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors" is accepted into SEC'21. University of California, Merced. External reviewers: PPoPP'14, SC'13, Euro-par'12, HPDC'11, etc. She will join the Florida International University as a tenure-track assistant professor since fall! 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. The Department of Computer Science offers an undergraduate major leading to a B.S. PC member and chairmanship: ASPLOS'24 (artifact evaluation co-chair), ICS'23, ICML'23, ICDCS'23, CLOUD'23, ICS'22 (PC and online activity chair), SC'22, HPDC'22 (poster and travel grant chair), ICS'21, SC'21, ICML'21, HPDC'21 (poster co-chair), IPDPS'21, IPDPS'20 (primary PC), NeurIPS'20, HPDC'18-20 (travel chair), ICPP'19-20, SC'18, ASPLOS'18 (shadow PC), Cluster'18 (poster chair), IPDPS'17, NAS (2016-2017), SC'15, CCGrid (2012-2018 and 2023), Cluster (2015-2020), ISC (2013-2016), etc. [5/2021] Dong was invited to give a keynote at the Eleventh International Workshop on Accelerators and Hybrid Emerging Systems (AsHES). This is a collaboration work with Microsoft. As a department with very high research activity housed in a liberal arts institution, our students enjoy the best of both worlds. 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. University of California, Merced 5200 North Lake Rd. [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. In addition, your browser should visually indicate that you are accessing a secure page. D Li, JS Vetter, G Marin, C McCurdy, C Cira, Z . He will join the Meta (facebook) AI Research. With 10 campuses, 5 medical centers, 3 national labs and a network of agricultural and natural resource centers, UC boasts large numbers of distinguished faculty and researchers in every field. Selected Recent Publications (a complete list of the publication can be found fromhere), Parallel Architecture, System, and Algorithm Lab (PASA), High Performance Computing Systems and Architecture Group, highlighted by the U.S. Department of Energy, understanding natural error resilience in HPC applications, Memory-centric system optimization for machine learning training and inference, System support for big, heterogeneous memory platforms, Seventh International Workshop on Extreme Scale Programming Models and Middleware, ASPLOS Distinguished Artifact Award, 2021, Berkeley Lab University Faculty Fellowship, 2016, SC best poster nomination (2.9% of all poster submissions), 2016, Oak Ridge National Lab (CSMD) Distinguished Contributor Award, 2013. Robin Gustafson, UC Davis. Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. We are a research group in the Department of Physics at University of California, Merced focused on exploring the frontiers of quantum materials and 2D materials. The following articles are merged in Scholar. Previously (2011-2014), he was a research scientist at the Oak Ridge National Laboratory (ORNL). Dong Li's 56 research works with 338 citations and 3,926 reads, including: Large Scale Caching and Streaming of Training Data for Online Deep Learning. 1 MPI process 0 initializes a variable to a given value, then modifies the variable (for example, by A paper "Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning" is accepted in HPCA'21. Merced, CA [6/2019] A paper Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation is accepted in SC'19. 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. " One of the only things that brings this school down is it's reputation. 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). The school gives you many different opportunities to succeed and learn. [11/2022] Thanks Lawrence Livermore National Lab (LLNL) for supporting our research on heterogeneous memory! I received my B.S. Tel: 434-243-3367. degree from the Beijing Institute of Technology. [6/2021] Dong was selected to be an associate editor for IEEE Transactions on Parallel and Distributed Systems (TPDS). [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). [10/2021] Invited to be TPDS (IEEE Transactions on Parallel and Distributed Systems) reviewer. [8/2022] Welcome new PhD student, Jin Huang! 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. 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. I received my Ph.D. from the University of California, Merced, supervised by Prof. Dong Li. All current faculty in the School of Biological Sciences at UC San Diego. University of California, Merced 5200 North Lake Rd. 5200 North Lake Rd. Previously (2021-2022), I was a researcher at ByteDance (TikTok) Infrastructure System Lab. First employment: ctrip), Himanshu Pillai (Master student, graduated in 2016. 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). Department. [6/2022] A paper on mixed-precision AI model training is accepted into ATC'22. [11/2022] Invited as a panelist in the panel on "AI for HPC" in. [11/2022] A paper "Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness" is accepted to PPoPP'23. University of California, Merced - Cited by 3,230 - High Performance Computing - Parallel and Distributed Systems . Verified email at ucmerced.edu - Homepage. These materials are the building blocks for future applications in quantum information science and high performance electronic devices. LinkedIn / He is an associate editor for IEEE Transactions on Parallel and Distributed Systems (TPDS). [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. Merced outstanding student. I previously received my PhD at University of California, Merced, advised by Prof. Dong Li. She will join the Florida International University as a tenure-track assistant professor since fall! I am a research scientist at Meta AI System Co-design. International Journal of High Performance Computing, etc. [9/2022] Welcome Prof. Tsung-wei Huang@Utah visits us. [12/2022] Welcome new PhD students, Bin Ma and Jianbo Wu! The system can't perform the operation now. III) Each process writes the data just read in the following way (supposing that there are 4 processes): "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. 10 -19 from the position 10 in the file and so on. Cross), Principles of Environmental Science (William P. Cunningham; Mary Ann Cunningham), Fundamentals of Information Technology (IT200), Elementary Physical Eucation and Health Methods (C367), Managing Organizations and Leading People (C200 Task 1), Pre service firefighter education and training (FSC-1106), Mathematical Concepts and Applications (MAT112), Foundations of Addiction and Substance Use Disorders (PCN-100), Strategic Human Resource Management (OL600), Professional Application in Service Learning I (LDR-461), Advanced Anatomy & Physiology for Health Professions (NUR 4904), Principles Of Environmental Science (ENV 100), Operating Systems 2 (proctored course) (CS 3307), Comparative Programming Languages (CS 4402), Business Core Capstone: An Integrated Application (D083), Chapter 4 - Summary Give Me Liberty! Facebook ) AI research into SEC'21 shadow PC member at EuroSys'23 Jishen Zhao Accelerate Eulerian Fluid Simulation is into! A Department with very High research activity housed in a liberal arts institution, students! 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