Zhen Peng

Hi there! I am a postdoc in the Future Computing Technologies Group (formerly known as High-Performance Computing Group) at Pacific Northwest National Laboratory (PNNL). My mentor is Dr. Roberto Gioiosa and previously Dr. Gokcen Kestor (who started her new posision at Barcelona Supercomputing Center). I received my Ph.D. from the Department of Computer Science at William & Mary under the supervision of Dr. Bin Ren.

My research interests lie in parallel computing with an emphasis on the design and optimization of parallel solutions for sparse computations and graph-based applications, relevant areas including:

• High-Performance Computing
• Compilers
• Machine Learning Optimization
• Continuum Computing

Before accepted to William & Mary, I received my bachelor’s and master’s degrees in the Department of Computer Science at Huaqiao University, China in 2013 and 2016, respectively. My master’s research advisor is Dr. Tian Wang.

My full CV.

Publications

• [SSDBM-2025] Jesun Sahariar Firoz, Hyungro Lee, Luanzheng Guo, Meng Tang, Nathan R. Tallent, and Zhen Peng, “FastFlow: Rapid Workflow Response By Prioritizing Critical Data Flows and their Interactions,” the 37th International Conference on Scalable Scientific Data Management (SSDBM 2025), June 23-25, 2025, Columbus, Ohio, USA. [PDF] [Repo]
• [HPDC-2025] Zhen Peng, Polykarpos Thomadakis, Jacques Pienaar, and Gokcen Kestor, “LiteForm: Lightweight and Automatic Format Composition for Sparse Matrix-Matrix Multiplication on GPUs,” the 34th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2025), July 20-23, 2025, Notre Dame, IN, USA. [PDF] [Repo]
• [TCH-2025] Jiexiong Guan, Junjie Wang, Wei Niu, Zhen Peng, Shuangquan Wang, Zhenming Liu, Gang Zhou, and Bin Ren, “Towards Recognizing Food Types for Unseen Subjects,” ACM Transactions on Computing for Healthcare, Volume 6, No. 1, pp 1-21, January, 2025. [PDF]
• [PACT-2023] Zhen Peng, Rizwan A. Ashraf, Luanzheng Guo, Ruiqin Tian, and Gokcen Kestor, “Automatic Code Generation for High-Performance Graph Algorithms,” the 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT 2023), October 21-25, 2023, Vienna, Austria. [PDF] [Repo]
• [PPoPP-2023] Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, and Bin Ren, “iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures,” the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP 2023), February 25-March 1, 2023, Montreal, Canada. [PDF] [SupplementalMaterial] [Repo]
• [arXiv-2022] Zhen Peng, Minjia Zhang, Kai Li, Ruoming Jin, and Bin Ren, “Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism,” arXiv:2201.13007, 2022. [PDF]
• [TACO-2021] Qihan Wang, Zhen Peng, Bin Ren, Jie Chen, and Robert G. Edwards, “MemHC: An Optimized GPU Memory Management Framework for Accelerating Many-body Correlation,” ACM Transactions on Architecture and Code Optimization (TACO), 2021. [PDF]
• [ICS-2020] Ruoming Jin*, Zhen Peng*, Wendell Wu, Feodor Dragan, Gagan Agrawal, and Bin Ren, “Parallelizing Pruned Landmark Labeling: Dealing with Dependencies in Graph Algorithms,” the 34th ACM International Conference on Supercomputing (ICS 2020), June 29-July 2, 2020, Online. (* Equal contribution) [PDF] [SupplementalMaterial] [FullTalk]
• [CGO-2020] Yu Chen, Ivy Peng, Zhen Peng, Xu Liu, and Bin Ren, “ATMem: Adaptive Data Placement in Graph Applications on Heterogeneous Memories,” International Symposium on Code Generation and Optimization (CGO 2020), February 22-26, 2020, San Diego, CA, USA. [PDF]
• [arXiv-2019] Ruoming Jin, Zhen Peng, Wendell Wu, Feodor Dragan, Gagan Agrawal, and Bin Ren, “Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!” arXiv:1906.12018, 2019. [PDF]
• [PACT-2018] Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, and Bin Ren, “GraphPhi: Efficient Parallel Graph Processing on Emerging Throughput-oriented Architectures,” International conference on Parallel Architectures and Compilation Techniques (PACT 2018), November 1-4, 2018, Limassol, Cyprus. [PDF] [LightningTalk] [Repo]

Experience

• 04/2023 - Present, Postdoctoral Researcher, Pacific Northwest National Laboratory (PNNL), Richland, WA
• 06/2022 - 04/2023, PhD Intern, Pacific Northwest National Laboratory (PNNL), Richland, WA
• 04/2021 - 09/2021, ML Research Intern, Kuaishou, Palo Alto, CA
• 08/2017 - 06/2022, Research Assistant, College of William & Mary (W&M), Williamsburg, VA