SC

Publications

2023

Niclas Jansson, Martin Karp, Adalberto Perez, Timofey Mukha, Yi Ju, Jiahui Liu, Szilárd Páll, Erwin Laure, Tino Weinkauf, Jörg Schumacher, Philipp Schlatter, Stefano Markidis
Exploring the Ultimate Regime of Turbulent Rayleigh-Bénard Convection Through Unprecedented Spectral-Element Simulations. SC (2023)
Mark Taylor, Peter M. Caldwell, Luca Bertagna, Conrad Clevenger, Aaron Donahue, James G. Foucar, Oksana Guba, Benjamin R. Hillman, Noel Keen, Jayesh Krishna, Matthew R. Norman, Sarat Sreepathi, Christopher Terai, James B. White III, Andrew G. Salinger, Renata B. McCoy, Lai-yung Ruby Leung, David C. Bader, Danqing Wu
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System. SC (2023)
Kaihua Fu, Quan Chen, Yuzhuo Yang, Jiuchen Shi, Chao Li, Minyi Guo
BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training. SC (2023)
Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim Mcmahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung
Frontier: Exploring Exascale. SC (2023)
Xiaohui Duan, Jin Wang, Ping Gao, Ming Ma, Lin Gan, Xin Liu, Haohuan Fu, Wei Xue, Dexun Chen, Guangwen Yang, Weiguo Liu
Enabling Real World Scale Structural Superlubricity All-Atom Simulation on the Next-Generation Sunway Supercomputer. SC (2023)
Hongkuan Zhou, Da Zheng, Xiang Song, George Karypis, Viktor K. Prasanna
DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training. SC (2023)
James D. Trotter, Sinan Ekmekçibasi, Johannes Langguth, Tugba Torun, Emre Düzakin, Aleksandar Ilic, Didem Unat
Bringing Order to Sparsity: A Sparse Matrix Reordering Study on Multicore CPUs. SC (2023)
Shenghong Huang, Junshi Chen, Ziyu Zhang, Xiaoyu Hao, Jun Gu, Hong An, Chun Zhao, Yan Hu, Zhanming Wang, Longkui Chen, Yifan Luo, Jineng Yao, Yi Zhang, Yang Zhao, Zhihao Wang, Dongning Jia, Zhao Jin, Changming Song, Xisheng Luo, Xiaobin He, Dexun Chen
Establishing a Modeling System in 3-km Horizontal Resolution for Global Atmospheric Circulation triggered by Submarine Volcanic Eruptions with 400 Billion Smoothed Particle Hydrodynamics. SC (2023)
Kaijie Fan, Marco D'Antonio, Lorenzo Carpentieri, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini
SYnergy: Fine-grained Energy-Efficient Heterogeneous Computing for Scalable Energy Saving. SC (2023)
Sambit Das, Bikash Kanungo, Vishal Subramanian, Gourab Panigrahi, Phani Motamarri, David M. Rogers, Paul Zimmerman, Vikram Gavini
Large-Scale Materials Modeling at Quantum Accuracy: Ab Initio Simulations of Quasicrystals and Interacting Extended Defects in Metallic Alloys. SC (2023)
Abdullah Al Raqibul Islam, Dong Dai
DGAP: Efficient Dynamic Graph Analysis on Persistent Memory. SC (2023)
Tianhui Shi, Jidong Zhai, Haojie Wang, Qiqian Chen, Mingshu Zhai, Zixu Hao, Haoyu Yang, Wenguang Chen
GraphSet: High Performance Graph Mining through Equivalent Set Transformations. SC (2023)
Yuechen Lu, Weifeng Liu
DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication. SC (2023)
Qiyang Ding, Pengfei Zheng, Shreyas Kudari, Shivaram Venkataraman, Zhao Zhang
Mirage: Towards Low-interruption Services on Batch GPU Clusters with Reinforcement Learning. SC (2023)
Wang Zhang, Zhan Shi, Ziyi Liao, Yiling Li, Yu Du, Yutong Wu, Fang Wang, Dan Feng
Graph3PO: A Temporal Graph Data Processing Method for Latency QoS Guarantee in Object Cloud Storage System. SC (2023)
Hyungro Lee, Luanzheng Guo, Meng Tang, Jesun Firoz, Nathan Tallent, Anthony Kougkas, Xian-He Sun
Data Flow Lifecycles for Optimizing Workflow Coordination. SC (2023)
Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, Daniel Silver, William Cutler, Devesh Tiwari
Experimental Evaluation of Xanadu X8 Photonic Quantum Computer: Error Measurement, Characterization and Implications. SC (2023)
Yiqian Liu, Noushin Azami, Avery Vanausdal, Martin Burtscher
Choosing the Best Parallelization and Implementation Styles for Graph Analytics Codes: Lessons Learned from 1106 Programs. SC (2023)
Yafan Huang, Sheng Di, Xiaodong Yu, Guanpeng Li, Franck Cappello
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance. SC (2023)
Xin You, Hailong Yang, Kelun Lei, Zhongzhi Luan, Depei Qian
TrivialSpy: Identifying Software Triviality via Fine-grained and Dataflow-based Value Profiling. SC (2023)
Xu Fu, Bingbin Zhang, Tengcheng Wang, Wenhao Li, Yuechen Lu, Enxin Yi, Jianqi Zhao, Xiaohan Geng, Fangying Li, Jingwen Zhang, Zhou Jin, Weifeng Liu
PanguLU: A Scalable Regular Two-Dimensional Block-Cyclic Sparse Direct Solver on Distributed Heterogeneous Systems. SC (2023)
Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You
Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. SC (2023)
Roberto L. Castro, Andrei Ivanov, Diego Andrade, Tal Ben-Nun, Basilio B. Fraguela, Torsten Hoefler
VENOM: A Vectorized N: M Format for Unleashing the Power of Sparse Tensor Cores. SC (2023)
Shiyang Chen, Da Zheng, Caiwen Ding, Chengying Huan, Yuede Ji, Hang Liu
TANGO: re-thinking quantization for graph neural network training on GPUs. SC (2023)
Boris Kozinsky, Albert Musaelian, Anders Johansson, Simon L. Batzner
Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size. SC (2023)
Shumpei Shiina, Kenjiro Taura
Itoyori: Reconciling Global Address Space and Global Fork-Join Task Parallelism. SC (2023)
Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian
EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs. SC (2023)
Jacob Wahlgren, Gabin Schieffer, Maya B. Gokhale, Ivy Peng
A Quantitative Approach for Adopting Disaggregated Memory in HPC Systems. SC (2023)
Marcin Chrapek, Mikhail Khalilov, Torsten Hoefler
HEAR: Homomorphically Encrypted Allreduce. SC (2023)
Thiago S. F. X. Teixeira, Alexandra Henzinger, Rohan Yadav, Alex Aiken
Automated Mapping of Task-Based Programs onto Distributed and Heterogeneous Machines. SC (2023)
J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC (2023)
Zane Fink, Konstantinos Parasyris, Giorgis Georgakoudis, Harshitha Menon
HPAC-Offload: Accelerating HPC Applications with Portable Approximate Computing on the GPU. SC (2023)
Theresa Pollinger, Alexander Van Craen, Christoph Niethammer, Marcel Breyer, Dirk Pflüger
Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique. SC (2023)
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
High Throughput Training of Deep Surrogates from Large Ensemble Runs. SC (2023)
Yang Liu, Nan Ding, Piyush Sao, Samuel Williams, Xiaoye Sherry Li
Unified Communication Optimization Strategies for Sparse Triangular Solver on CPU and GPU Clusters. SC (2023)
Maciej Besta, Pawel Renc, Robert Gerstenberger, Paolo Sylos Labini, Alexandros Nikolaos Ziogas, Tiancheng Chen, Lukas Gianinazzi, Florian Scheidl, Kalman Szenes, Armon Carigiet, Patrick Iff, Grzegorz Kwasniewski, Raghavendra Kanakagiri, Chio Ge, Sammy Jaeger, Jaroslaw Was, Flavio Vella, Torsten Hoefler
High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations. SC (2023)
Sayan Roychowdhury, Samreen T. Mahmud, Aristotle X. Martin, Peter Balogh, Daniel F. Puleri, John Gounley, Erik W. Draeger, Amanda Randles
Enhancing Adaptive Physics Refinement Simulations Through the Addition of Realistic Red Blood Cell Counts. SC (2023)
Jianxiong Li, Tong Zhao, Zhuoqiang Guo, Shunchen Shi, Lijun Liu, Guangming Tan, Weile Jia, Guojun Yuan, Zhan Wang
Enhance the Strong Scaling of LAMMPS on Fugaku. SC (2023)
Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. SC (2023)
Juan-David Guerrero-Balaguera, Josie Esteban Rodriguez Condia, Fernando Fernandes dos Santos, Matteo Sonza Reorda, Paolo Rech
Understanding the Effects of Permanent Faults in GPU's Parallelism Management and Control Units. SC (2023)
Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt
FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics. SC (2023)
Yangjun Wu, Chu Guo, Yi Fan, Pengyu Zhou, Honghui Shang
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry. SC (2023)
Maciej Besta, Robert Gerstenberger, Marc Fischer, Michal Podstawski, Nils Blach, Berke Egeli, George Mitenkov, Wojciech Chlapek, Marek T. Michalewicz, Hubert Niewiadomski, Jürgen Müller, Torsten Hoefler
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores. SC (2023)
Yiming Li, Laiping Zhao, Yanan Yang, Wenyu Qu
Rethinking Deployment for Serverless Functions: A Performance-First Perspective. SC (2023)
Junmin Xiao, Chaoyang Shui, Di Cai, Kangyu Wang, Yunfei Pang, Mingyi Li, Hui Ma, Guangming Tan
Adaptive Workload-Balanced Scheduling Strategy for Global Ocean Data Assimilation on Massive GPUs. SC (2023)
Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz, Vitus J. Leung, Jim M. Brandt, Brian Kulis, Manuel Egele, Ayse K. Coskun
Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems. SC (2023)
Rongfen Lin, Xinhui Yuan, Wei Xue, Wanwang Yin, Jienan Yao, Junda Shi, Qiang Sun, Chaobo Song, Fei Wang
5 ExaFlop/s HPL-MxP Benchmark with Linear Scalability on the 40-Million-Core Sunway Supercomputer. SC (2023)
Dongwhee Kim, Jaeyoon Lee, Wonyeong Jung, Michael B. Sullivan, Jungrae Kim
Unity ECC: Unified Memory Protection Against Bit and Chip Errors. SC (2023)
Konstantinos Parasyris, Giorgis Georgakoudis, Esteban Rangel, Ignacio Laguna, Johannes Doerfert
Scalable Tuning of (OpenMP) GPU Applications via Kernel Record and Replay. SC (2023)
Ali Asgari Khoshouyeh, Florian Geissler, Syed Qutub, Michael Paulitsch, Prashant Nair, Karthik Pattabiraman
Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults. SC (2023)