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ORCIDSC Workshops 2023: Denver, CO, USA
- Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, SC-W 2023, Denver, CO, USA, November 12-17, 2023. ACM 2023
AI Assisted Software Development for HPC (AI4DEV)
- Nadav Schneider
, Tal Kadosh, Niranjan Hasabnis, Timothy G. Mattson, Yuval Pinter, Gal Oren:
MPI-RICAL: Data-Driven MPI Distributed Parallelism Assistance with Transformers. 1-10 - Brian Chen, Nafis Mustakin, Alvin Hoang, Sakib Fuad, Daniel Wong:
VSCuda: LLM based CUDA extension for Visual Studio Code. 11-17
Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S)
- Roussel Desmond Nzoyem Ngueguin, David A. W. Barton, Tom Deakin:
A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints. 18-28 - Xingfu Wu, Praveen Paramasivam, Valerie Taylor:
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. 29-35 - Duy Phuong Nguyen, Sixing Yu, J. Pablo Muñoz, Ali Jannesari:
Enhancing Heterogeneous Federated Learning with Knowledge Extraction and Multi-Model Fusion. 36-43 - Jiali Li, George Bosilca, Aurelien Bouteiller, Bogdan Nicolae:
Elastic deep learning through resilient collective operations. 44-50 - Kin Long Kelvin Lee, Carmelo Gonzales, Matthew Spellings, Mikhail Galkin, Santiago Miret, Nalini Kumar:
Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. 51-59 - Krishna Kumar, Yongjin Choi:
Accelerating Particle and Fluid Simulations with Differentiable Graph Networks for Solving Forward and Inverse Problems. 60-65 - Kendric Hood, Qiang Guan:
Machine Learning Applied to Single-Molecule Activity Prediction. 66-72 - Wesley Brewer, Daniel Martinez, Muralikrishnan Gopalakrishnan Meena, Aditya Kashi, Katarzyna Borowiec, Siyan Liu, Christopher Pilmaier, Greg W. Burgreen, Shanti Bhushan:
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates. 73-80 - Gayathri Saranathan, Martin Foltin, Aalap Tripathy, Maxim A. Ziatdinov, Ann Mary Justine Koomthanam, Suparna Bhattacharya, Ayana Ghosh, Kevin Roccapriore, Sreenivas Rangan Sukumar, Paolo Faraboschi:
Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. 81-87 - Nariman Piroozan, Nalini Kumar:
Enabling Performant Thermal Conductivity Modeling with DeePMD and LAMMPS on CPUs. 88-94 - Gautham Dharuman, Arvind Ramanathan:
Protein Generation via Genome-scale Language Models with Bio-physical Scoring. 95-101 - Aditya Kashi:
Tencoder: tensor-product encoder-decoder architecture for predicting solutions of PDEs with variable boundary data. 102-108 - Matt Baughman, Nathaniel Hudson, Ryan Chard, André Bauer, Ian T. Foster, Kyle Chard:
Tournament-Based Pretraining to Accelerate Federated Learning. 109-115
Ninth Computational Approaches for Cancer Workshop (CAFCW23)
- Sri Priya Ponnapalli, Penelope Miron, Kristy L. S. Miskimen, Kristin A. Waite, Nadiya Sosonkina, Sara E. Coppens, Anthony C. Bryan, Estevan P. Kiernan, Huanming Yang, Jay Bowen, Ghunwa A. Nakouzi, Jill S. Barnholtz-Sloan, Andrew E. Sloan, Tiffany R. Hodges, Orly Alter:
AI/ML-Derived Whole-Genome Predictor Prospectively and Clinically Predicts Survival and Response to Treatment in Brain Cancer. 116-118 - Chengyue Wu, David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael R. A. Abdelmalik, William T. Phillips, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov:
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma. 119-120 - Oleksandr Narykov, Yitan Zhu, Thomas S. Brettin, Yvonne A. Evrard, Alexander Partin, Maulik Shukla, Priyanka Vasanthakumari, James H. Doroshow, Rick Stevens:
Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. 121-122 - Archit Vasan, Thomas S. Brettin, Rick Stevens, Arvind Ramanathan, Venkatram Vishwanath:
Scalable Lead Prediction with Transformers using HPC resources. 123 - Kevin H. Leung:
Automated Whole-Body Tumor Segmentation and Prognosis of Cancer on PET/CT. 124-133
5th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC (CANOPIE-HPC)
- Reid Priedhorsky, Jordan Ogas, Claude H. Davis IV, Z. Noah Hounshel, Ashlyn Lee, Benjamin Stormer, R. Shane Goff:
Charliecloud's layer-free, Git-based container build cache. 134-146 - Pablo Josue Rojas Yepes, Carlos Jaime Barrios Hernández, Luiz Angelo Steffenel:
Understanding Energy Performance of Containers Deployment on HPC-Based post-Moore Platforms. 147-154 - Erik S. Ferlanti, William J. Allen, Ernesto A. B. F. Lima, Yinzhi Wang, John M. Fonner:
Perspectives and Experiences Supporting Containers for Research Computing at the Texas Advanced Computing Center. 155-164 - Nina Mujkanovic, Juan José Durillo, Nicolay Hammer, Tiziano Müller:
Survey of adaptive containerization architectures for HPC. 165-176
Seventh International Workshop on Software Correctness for HPC Applications (Correctness 2023)
- Pedro Valero-Lara, Ian Jorquera, Frank Liu, Jeffrey S. Vetter:
Mixed-Precision S/DGEMM Using the TF32 and TF64 Frameworks on Low-Precision AI Tensor Cores. 177-186 - Joachim Jenke, Simon Schwitanski, Isabel Thärigen, Matthias S. Müller:
Mapping High-Level Concurrency from OpenMP and MPI to ThreadSanitizer Fibers. 187-195 - Radjasouria Vinayagame, Emmanuelle Saillard, Samuel Thibault, Van Man Nguyen, Marc Sergent:
Rethinking Data Race Detection in MPI-RMA Programs. 196-204 - Simon Schwitanski, Joachim Jenke, Sven Klotz, Matthias S. Müller:
RMARaceBench: A Microbenchmark Suite to Evaluate Race Detection Tools for RMA Programs. 205-214 - Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao:
Data Race Detection Using Large Language Models. 215-223 - Simon Schwitanski, Niko Sakic, Joachim Jenke, Felix Tomski, Marc-André Hermanns:
Towards Correctness Checking of MPI Partitioned Communication in MUST. 224-227 - Joachim Jenke, Kaloyan Ignatov, Simon Schwitanski:
Adding Microbenchmarks with SIMD Data Races to DataRaceBench. 228-229 - Alexander Hück, Tim Jammer, Joachim Jenke, Christian H. Bischof:
Investigating the Real-World Applicability of MPI Correctness Benchmarks. 230-233 - Joachim Jenke, Simon Schwitanski:
Improve and Stabilize the Classification Results of DataRaceBench. 234-237 - Philippe Virouleau, Emmanuelle Saillard, Marc Sergent, Pierre Lemarinier:
Highlighting PARCOACH Improvements on MBI. 238-241
The First Workshop on Democratizing High-Performance Computing (D-HPC)
- Pouya Kousha, Vivekananda Sathu, Matthew Lieber, Hari Subramoni, Dhabaleswar K. Panda:
Democratizing HPC Access and Use with Knowledge Graphs. 242-251
The 9th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-9)
- Tripti Agarwal, Harvey Dam, Ponnuswamy Sadayappan, Ganesh Gopalakrishnan, Dorra Ben Khalifa, Matthieu Martel:
What Operations can be Performed Directly on Compressed Arrays, and with What Error? 252-262 - Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao:
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework. 263-271 - Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello:
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. 272-280 - Max Henry Faykus, Jon Calhoun, Melissa C. Smith:
Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT). 281-288 - Kazutomo Yoshii, Tomohiro Ueno, Kentaro Sano, Antonino Miceli, Franck Cappello:
Streaming Hardware Compressor Generator Framework. 289-297 - Yi Huang, Yihui Ren, Shinjae Yoo, Jin Huang:
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data. 298-305
Workshop on Education for High-Performance Computing (EduHPC-23)
- Zhiguang Xu:
Teaching Heterogeneous and Parallel Computing with Google Colab and Raspberry Pi Clusters. 306-313 - David W. Brown, Sheikh K. Ghafoor, Mike Rogers, Ada Haynes:
Faculty Development Workshops for Integrating PDC in Early Undergraduate Curricula: An Experience Report. 314-323 - Prasun Dewan:
Infrastructure for Writing Fork-Join Tests. 324-334 - Matthew Mcquaigue, Erik Saule, Kalpathi R. Subramanian, Jamie Payton:
Data-Driven Discovery of Anchor Points for PDC Content. 335-342 - Mary W. Hall, Ganesh Gopalakrishnan, Eric Eide, Johanna Cohoon, Jeff M. Phillips, Mu Zhang, Shireen Y. Elhabian, Aditya Bhaskara, Harvey Dam, Artem Yadrov, Tushar Kataria, Amir Mohammad Tavakkoli, Sameeran Joshi, Mokshagna Sai Teja Karanam:
An NSF REU Site Based on Trust and Reproducibility of Intelligent Computation: Experience Report. 343-349 - Alicia Esquivel Morel, William Fowler, Kate Keahey, Kyle Zheng, Michael Sherman, Richard Anderson:
AutoLearn: Learning in the Edge to Cloud Continuum. 350-356 - Ana Lucia Varbanescu, Stephen Nicholas Swatman, Anuj Pathania:
Performance Engineering for Graduate Students: a View from Amsterdam. 357-365 - H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego García-Álvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, David P. Bunde:
Peachy Parallel Assignments (EduHPC 2023). 366-373 - Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal:
EduHPC Lightning Talk Summary. 374-378
First Workshop on Enabling Predictive Science with Optimization and Uncertainty Quantification in HPC 2023
- Robert Carson, Matthew Rolchigo, John Coleman, Mikhail Titov, James F. Belak, Matt Bement:
Uncertainty Quantification of Metal Additive Manufacturing Processing Conditions Through the use of Exascale Computing. 379-383 - Alessandro Fanfarillo, Nicholas Malaya, Guido Cervone, Luca Delle Monache:
Efficient Probabilistic Tuning of Ensemble Forecasting Method. 384-386 - Martin Karp, Felix Liu, Ronith Stanly, Saleh Rezaeiravesh, Niclas Jansson, Philipp Schlatter, Stefano Markidis:
Uncertainty Quantification of Reduced-Precision Time Series in Turbulent Channel Flow. 387-390 - Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja:
Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. 391-394 - Ye Htet, Marion Sudvarg, Jeremy Buhler, Roger D. Chamberlain, James H. Buckley:
Localization of Gamma-ray Bursts in a Balloon-Borne Telescope. 395-398 - Jienan Yao, Wei Xue:
Automatic Search Guided Code Optimization Framework for Mixed-Precision Scientific Applications. 399-403
Workshop on Exascale MPI (ExaMPI)
- Philippe Swartvagher, Sascha Hunold, Jesper Larsson Träff, Ioannis Vardas:
Using Mixed-Radix Decomposition to Enumerate Computational Resources of Deeply Hierarchical Architectures. 404-415 - Iker Martín-Álvarez, José Ignacio Aliaga, Maribel Castillo, Sergio Iserte:
Efficient data redistribution for malleable applications. 416-426 - Gerald Collom, Ruipeng Li, Amanda Bienz:
Optimizing Irregular Communication with Neighborhood Collectives and Locality-Aware Parallelism. 427-437 - Jake Tronge, Howard Pritchard:
Embedding Rust within Open MPI. 438-447 - Vishwanath Venkatesan, Manjunath Gorentla Venkata:
OpenSHMEM Queues: An abstraction for enhancing message rate, bandwidth utilization, and reducing tail latency in OpenSHMEM Applications. 448-457 - Donald A. Kruse, Whit Schonbein, Matthew G. F. Dosanjh:
A Statistical Analysis of HPC Network Tuning. 458-465
13th Workshop on Fault-Tolerance for HPC at Extreme Scale (FTXS 2023)
- Quentin Barbut, Anne Benoit, Thomas Hérault, Yves Robert, Frédéric Vivien:
When to checkpoint at the end of a fixed-length reservation? 466-476 - Benjamin Schlueter, Jon Calhoun, Alexandra Poulos:
Evaluating the Resiliency of Posits for Scientific Computing. 477-487 - Zizhao Chen, Thomas Verrecchia, Hongyang Sun, Joshua Dennis Booth, Padma Raghavan:
Dynamic Selective Protection of Sparse Iterative Solvers via ML Prediction of Soft Error Impacts. 488-491 - Serdar Bulut, Steven A. Wright:
Optimizing Write Performance for Checkpointing to Parallel File Systems Using LSM-Trees. 492-501 - Anjus George, Jesse Hanley, Sarp Oral:
Disk Failure Trends in Alpine Storage System. 502-506 - Kristen Guernsey, Sarah Placke, Alexandra Poulos, Jon Calhoun:
Recovering Detectable Uncorrectable Errors via Spatial Data Prediction. 507-515 - Kurt B. Ferreira, Scott Levy:
Using Benford's Law to Identify Unusual Failure Regions. 516-519
Ninth International Workshop on Heterogeneous High-Performance Reconfigurable Computing (H2RC 2023)
- Yongding Tian, Matthijs A. Reukers, Zaid Al-Ars, H. Peter Hofstee, Matthijs Brobbel, Johan Peltenburg, Jeroen van Straten:
Tydi-lang: A Language for Typed Streaming Hardware. 520-529 - Steffen Christgau, Dylan Everingham, Florian Mikolajczak, Niklas Schelten, Bettina Schnor, Max Schrötter, Benno Stabernack, Fritjof Steinert:
Enabling Communication with FPGA-based Network-attached Accelerators for HPC Workloads. 530-538 - Zaid Al-Ars, Jakoba Petri-Koenig, Joost Hoozemans, Luc Dierick, H. Peter Hofstee:
OctoRay: Framework for Scalable FPGA Cluster Acceleration of Python Big Data Applications. 539-546 - Christoph Weckert, Leonardo Solis-Vasquez, Julian Oppermann, Andreas Koch, Oliver Sinnen:
Altis-SYCL: Migrating Altis Benchmarking Suite from CUDA to SYCL for GPUs and FPGAs. 547-555 - Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson, Emilien Bauer, Anton Lydike, Tobias Grosser:
Stencil-HMLS: A multi-layered approach to the automatic optimisation of stencil codes on FPGA. 556-565
HPC Systems Professionals Workshop (HPCSYSPROS23)
- Honwai Leong:
Report on Adaptable Open-Source Disaster Recovery Solution for Multi-Petabyte Storage Systems. 566-572 - Simon Guilbault:
Self-service Monitoring of HPC and Openstack Jobs for Users. 573-580 - Andres Quan, Leah Howell, Hugh Greenberg:
Heterogeneous Syslog Analysis: There Is Hope. 581-587 - Jason St. John, Alex Younts:
Overcoming Active Directory Woes with Plain Text Caches and Replacing Passwords. 588-590 - J. Eric Coulter, Michael D. Weiner, Aaron Jezghani, Matthew Guidry, Rubén Lara, Fang (Cherry) Liu, Allan Metts, Ronald Rahaman, Kenneth J. Suda, Peter Wan, Gregory Willcox, Deirdre Womack, Dan Zhou:
ICE 2.0: Restructuring and Growing an Instructional HPC Cluster. 591-597
First International Workshop on HPC System Testing (HPCTESTS 2023)
- Douglas Jacobsen, Robert F. Bird:
Ramble: A flexible, extensible, and composable experimentation framework. 598-608 - Tuomas Koskela, Ilektra Christidi, Mosè Giordano, Emily Dubrovska, Jamie Quinn, Christopher M. Maynard, Dave Case, Kaan Olgu, Tom Deakin:
Principles for Automated and Reproducible Benchmarking. 609-618 - Nick Hagerty, Jordan Webb, Verónica G. Melesse Vergara, Matthew Ezell:
Experiences Detecting Defective Hardware in Exascale Supercomputers. 619-626 - Olga Pearce, Alec Scott, Gregory Becker, Riyaz Haque, Nathan Hanford, Stephanie Brink, Doug Jacobsen, Heidi Poxon, Jens Domke, Todd Gamblin:
Towards Collaborative Continuous Benchmarking for HPC. 627-635
High Performance Python for Science at Scale (HPPSS)
- Thanh Son Phung, Ben Clifford, Kyle Chard, Douglas Thain:
Maximizing Data Utility for HPC Python Workflow Execution. 636-640 - Julius Donnert, Lindsey Gordon, Christopher Nolting, Peter Mendygral:
WisdomWombat: A polyglot dataflow CFD code using Python and Dragon. 641-643 - Khalid Hossain, Riccardo Balin, Corey Adams, Thomas D. Uram, Kalyan Kumaran, Venkatram Vishwanath, Tanima Dey, Subrata Goswami, Janghaeng Lee, Rebecca Ramer, Koichi Yamada:
Demonstration of Portable Performance of Scientific Machine Learning on High Performance Computing Systems. 644-647 - Nick Radcliffe, Kent Lee, Pete Mendygral:
Dragon Proxy Runtimes and Multi-system Workflows. 648-651
10th International Workshop on HPC User Support Tools (HUST-23)
- Parinaz Barakhshan, Rudolf Eigenmann:
CaRV - Accelerating Program Optimization through Capture, Replay, Validate. 652-662 - Chun-Yaung Lu, Kent F. Milfeld:
REMORA Resource Monitor: Usability, Performance and User Interface Improvements. 663-672 - Samuel Khuvis:
BaRRT: Buildtime and Runtime Reproducibility Tool for Software Development and Testing. 673-676 - Yinzhi Wang, Junjie Li:
PEAK: a Light-Weight Profiler for HPC Systems. 677-680 - Mariam Umar, Maxwell Jong:
PTI-GPU: Kernel Profiling and Assessment on Intel GPUs. 681-684 - Kevin A. Huck, Allen D. Malony:
ZeroSum: User Space Monitoring of Resource Utilization and Contention on Heterogeneous HPC Systems. 685-695 - Kyle Fan, Barry Rountree, Tapasya Patki, Aniruddha Marathe, Stephanie Brink, Duncan McFarlane, Eric Green, Kathleen Shoga:
msr-genie: Navigating Model Specific Registers Across Processor Generations. 696-703 - Dhruvil Shah, Gil Speyer, Jason Yalim:
Centralized provisioning of large language models for a research community. 704-707 - Ved Arora, Nayeli Gurrola, Amiya Maji, Guangzhen Jin:
A Fast and Responsive Web-based Framework for Visualizing HPC Application Usage. 708-711 - Andy Zhang, Sridutt Bhalachandra, Siqi Deng, Zhengji Zhao:
NPAT - A Power Analysis Tool at NERSC. 712-719 - Masahiro Nakao, Hidetomo Kaneyama, Masaru Nagaku, Ikki Fujiwara, Atsuko Takefusa, Shin'ichi Miura, Keiji Yamamoto:
Introducing Open OnDemand to Supercomputer Fugaku. 720-727
13th Workshop on Irregular Applications: Architectures and Algorithms (IA3 2023)
- Keita Iwabuchi, Trevor Steil, Benjamin Priest, Roger Pearce, Geoffrey Sanders:
Towards A Massive-scale Distributed Neighborhood Graph Construction. 728-738 - Arindam Khanda, S. M. Shovan, Sajal K. Das:
A Parallel Algorithm for Updating a Multi-objective Shortest Path in Large Dynamic Networks. 739-746 - Lizhi Xiang, Arif M. Khan, S. M. Ferdous, Aravind Sukumaran-Rajam, Mahantesh Halappanavar:
cuAlign: Scalable Network Alignment on GPU Accelerators. 747-755 - Hikaru Takayashiki, Hotaka Yagi, Hiroki Nishimoto, Naoki Yoshifuji:
A New Sparse GEneral Matrix-matrix Multiplication Method for Long Vector Architecture by Hierarchical Row Merging. 756-759 - LeAnn Lindsey, Muhammad Haseeb, Hari Sundar, Muaaz Gul Awan:
TANGO: A GPU optimized traceback approach for sequence alignment algorithms. 760-765 - Yuan Meng, Qian Wang, Tianxin Zu, Viktor K. Prasanna:
Accelerating Deep Neural Network guided MCTS using Adaptive Parallelism. 766-769 - Prachatos Mitra, Alexandros Daglis:
Filtering Wasteful Vertex Visits in Breadth-First Search. 770-773
10th Annual International Workshop on Innovating the Network for Data Intensive Science (INDIS)
- Nageswara S. V. Rao:
Experimental Study of TCP Throughput Profiles and Dynamics Over Dedicated Connections. 774-784 - Antonio Battipaglia, Leonardo Boldrini, Ralph Koning, Paola Grosso:
Evaluation of SCION for User-driven Path Control: a Usability Study. 785-794 - Hasibul Jamil, Joaquin Chung, Tekin Bicer, Tevfik Kosar, Rajkumar Kettimuthu:
Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming. 795-805