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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 Martínez, 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 - Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman:
Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. 806-818 - Ali Mazloum, Jose Gomez, Elie F. Kfoury, Jorge Crichigno:
Enhancing perfSONAR Measurement Capabilities using P4 Programmable Data Planes. 819-829
6th International Workshop on Emerging Parallel Distributed Runtime Systems and Middleware (IPDRM)
- Amal Gueroudji, Julien Bigot, Bruno Raffin, Robert B. Ross:
Dask-Extended External Tasks for HPC/ML In transit Workflows. 830-838 - Dawson Fox, Jose Manuel Monsalve Diaz, Xiaoming Li:
A gem5 Implementation of the Sequential Codelet Model: Reducing Overhead and Expanding the Software Memory Interface. 839-846 - Chen-Chun Chen, Kawthar Shafie Khorassani, Pouya Kousha, Qinghua Zhou, Jinghan Yao, Hari Subramoni, Dhabaleswar K. Panda:
MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators. 847-854
In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV 2023)
- Estelle Dirand, Ali Asad, Yann Magnin:
Trigger Smart Data Saving Applied to CO2 Capture in Metal-Organic Frameworks. 855-861 - Victor A. Mateevitsi, Mathis Bode, Nicola J. Ferrier, Paul F. Fischer, Jens Henrik Göbbert, Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, Silvio Rizzi, Jonathan Windgassen:
Scaling Computational Fluid Dynamics: In Situ Visualization of NekRS using SENSEI. 862-867 - Burlen Loring, E. Wes Bethel, Gunther H. Weber, Michael W. Mahoney:
Extensions to the SENSEI In situ Framework for Heterogeneous Architectures. 868-874
The Ninth Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC2023)
- Shilei Tian, Tom Scogland, Barbara M. Chapman, Johannes Doerfert:
OpenMP Kernel Language Extensions for Performance Portable GPU Codes. 875-883 - Muhammad Usman, Sergio Iserte, Roger Ferrer, Antonio José Peña:
DPU Offloading Programming with the OpenMP API. 884-891 - Anton Rydahl, Joseph Huber, Ethan Luis Mcdonough, Johannes Doerfert:
Precision and Performance Analysis of C Standard Math Library Functions on GPUs. 892-903 - Nick Brown, Maurice Jamieson, Anton Lydike, Emilien Bauer, Tobias Grosser:
Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang. 904-913
Workshop on Machine Learning with Graphs in High Performance Computing Environments (MLG-HPCE)
- Satoshi Iwata, Remzi H. Arpaci-Dusseau, Akihiko Kasagi:
An Analysis of Graph Neural Network Memory Access Patterns. 914-921 - Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna:
An Efficient Distributed Graph Engine for Deep Learning on Graphs. 922-931 - Justin Stanley, Ali Jannesari:
Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning. 932-940 - Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim:
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets. 941-950 - Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto Cerpa, Wan Du:
HPC-GPT: Integrating Large Language Model for High-Performance Computing. 951-960
Workshop on Memory Technologies, Systems, and Applications (MTSA'23)
- Shintaro Sano, Yosuke Bando, Kazuhiro Hiwada, Hirotsugu Kajihara, Tomoya Suzuki, Yu Nakanishi, Daisuke Taki, Akiyuki Kaneko, Tatsuo Shiozawa:
GPU Graph Processing on CXL-Based Microsecond-Latency External Memory. 961-972 - Felippe Vieira Zacarias, Paul M. Carpenter, Vinicius Petrucci:
Dynamic Memory Provisioning on Disaggregated HPC Systems. 973-982 - Yehonatan Fridman, Suprasad Mutalik Desai, Navneet Singh, Thomas Willhalm, Gal Oren:
CXL Memory as Persistent Memory for Disaggregated HPC: A Practical Approach. 983-994 - Deepak B. Hegde, Preeti Malakar:
Accelerating In Situ Analysis using Non-volatile Memory. 995-1004
2023 International Workshop on Performance, Portability, and Productivity in HPC (P3HPC)
- Oscar Antepara, Samuel Williams, Hans Johansen, Tuowen Zhao, Samantha Hirsch, Priya Goyal, Mary W. Hall:
Performance Portability Evaluation of Blocked Stencil Computations on GPUs. 1005-1018 - Andreas Herten:
Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview. 1019-1026 - Simon Schlepphorst, Stefan Krieg:
Benchmarking a portable lattice quantum chromodynamics kernel written in Kokkos and MPI. 1027-1037 - István Z. Reguly:
Evaluating the performance portability of SYCL across CPUs and GPUs on bandwidth-bound applications. 1038-1047 - Phuong Nguyen, Pratik Nayak, Hartwig Anzt:
Porting Batched Iterative Solvers onto Intel GPUs with SYCL. 1048-1058 - Nan Ding, Muhammad Haseeb, Taylor L. Groves, Samuel Williams:
Evaluating the Performance of One-sided Communication on CPUs and GPUs. 1059-1069 - James Buford White III:
Performance Portability of Programming Strategies for Nearest-Neighbor Communication with GPU-Aware MPI. 1070-1080 - Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Pedro Valero-Lara:
MatRIS: Multi-level Math Library Abstraction for Heterogeneity and Performance Portability using IRIS Runtime. 1081-1092 - Jun Chen, Xule Zhou, Hyesoon Kim:
CuPBoP-AMD: Extending CUDA to AMD Platforms. 1093-1104 - Nestor Demeure, Theodore Kisner, Reijo Keskitalo, Rollin C. Thomas, Julian Borrill, Wahid Bhimji:
High-level GPU code: a case study examining JAX and OpenMP. 1105-1113 - Esteban Miguel Rangel, Simon John Pennycook, Adrian Pope, Nicholas Frontiere, Zhiqiang Ma, Varsha Madananth:
A Performance-Portable SYCL Implementation of CRK-HACC for Exascale. 1114-1125 - Aristotle X. Martin, Geng Liu, William Ladd, Seyong Lee, John Gounley, Jeffrey S. Vetter, Saumil Patel, Silvio Rizzi, Victor A. Mateevitsi, Joseph A. Insley, Amanda Randles:
Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations. 1126-1137
The 6th Annual Parallel Applications Workshop, Alternatives to MPI+X (PAW-ATM)
- Tom Westerhout, Bradford L. Chamberlain:
Implementing scalable matrix-vector products for the exact diagonalization methods in quantum many-body physics. 1138-1150 - Jiakun Yan, Hartmut Kaiser, Marc Snir:
Design and Analysis of the Network Software Stack of an Asynchronous Many-task System - The LCI parcelport of HPX. 1151-1161 - Scott Bachman, Rebecca Green, Anna Bakker, Helen Fox, Sam Purkis, Ben Harshbarger:
High-Performance Programming and Execution of a Coral Biodiversity Mapping Algorithm Using Chapel. 1162-1170 - Julian Bellavita, Mathias Jacquelin, Esmond G. Ng, Dan Bonachea, Johnny Corbino, Paul H. Hargrove:
symPACK: A GPU-Capable Fan-Out Sparse Cholesky Solver. 1171-1184 - Marcin Rogowski, Jeff R. Hammond, David E. Keyes, Lisandro Dalcín:
shmem4py: High-Performance One-Sided Communication for Python Applications. 1185-1193
8th International Parallel Data Systems Workshop (PDSW 2023)
- Louis-Marie Nicolas, Salim Mimouni, Philippe Couvée, Jalil Boukhobza:
GrIOt: Graph-based Modeling of HPC Application I/O Call Stacks for Predictive Prefetch. 1194-1201 - Anjus George, Christopher Brumgard, Rick Mohr, Ketan Maheshwari, James Simmons, Sarp Oral, Jesse Hanley:
PoliMOR: A Policy Engine "Made-to-Order" for Automated and Scalable Data Management in Lustre. 1202-1208 - Izzet Yildirim, Hariharan Devarajan, Anthony Kougkas, Xian-He Sun, Kathryn M. Mohror:
IOMax: Maximizing Out-of-Core I/O Analysis Performance on HPC Systems. 1209-1215 - Nafiseh Moti, André Brinkmann, Marc-André Vef, Philippe Deniel, Jesús Carretero, Philip H. Carns, Jean-Thomas Acquaviva, Reza Salkhordeh:
The I/O Trace Initiative: Building a Collaborative I/O Archive to Advance HPC. 1216-1222 - Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Scott Klasky, Ada Gavrilovska:
Enhancing Metadata Transfer Efficiency: Unlocking the Potential of DAOS in the ADIOS context. 1223-1228
The 14th International Workshop on Performance Modeling, Benchmarking, and Simulation of High-Performance Computer Systems (PMBS23)
- Ayesha Afzal, Georg Hager, Gerhard Wellein:
Physical Oscillator Model for Supercomputing. 1229-1235 - István Z. Reguly:
Comparative evaluation of bandwidth-bound applications on the Intel Xeon CPU MAX Series. 1236-1244 - Ayesha Afzal, Georg Hager, Gerhard Wellein:
SPEChpc 2021 Benchmarks on Ice Lake and Sapphire Rapids Infiniband Clusters: A Performance and Energy Case Study. 1245-1254 - S. Kazem Shekofteh, Christian Alles, Holger Fröning:
Reducing Memory Requirements for the IPU using Butterfly Factorizations. 1255-1263 - Sascha Hunold:
Verifying Performance Guidelines for MPI Collectives at Scale. 1264-1268 - Daan Camps, Katherine Klymko, Brian Austin, Nicholas J. Wright:
A Performance Model for Estimating the Cost of Scaling to Practical Quantum Advantage. 1269-1273 - Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman:
Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. 1274-1278 - Zhengji Zhao, Ermal Rrapaj, Sridutt Bhalachandra, Brian Austin, Hai Ah Nam, Nicholas J. Wright:
Power Analysis of NERSC Production Workloads. 1279-1287 - Viyom Mittal, Pedro Bruel, Dejan S. Milojicic, Eitan Frachtenberg:
Adaptive Stopping Rule for Performance Measurements. 1288-1297 - Christopher M. Siefert, Carl Pearson, Stephen L. Olivier, Andrey Prokopenko, Jonathan J. Hu, Timothy J. Fuller:
Latency and Bandwidth Microbenchmarks of US Department of Energy Systems in the June 2023 Top 500 List. 1298-1305 - Lucas Perotin, Chaojie Zhang, Rajini Wijayawardana, Anne Benoit, Yves Robert, Andrew A. Chien:
Risk-Aware Scheduling Algorithms for Variable Capacity Resources. 1306-1315 - Elliot Kolker-Hicks, Di Zhang, Dong Dai:
A Reinforcement Learning Based Backfilling Strategy for HPC Batch Jobs. 1316-1323 - David Eberius, Md. Wasi-ur-Rahman, David Ozog:
Evaluating the Potential of Elastic Jobs in HPC Systems. 1324-1333 - Sergej Breiter, James D. Trotter, Karl Fürlinger:
Modelling Data Locality of Sparse Matrix-Vector Multiplication on the A64FX. 1334-1342
5th Workhop on Programming and Performance Visualization Tools (ProTools 2023)
- Marcus Ritter, Felix Wolf:
Extra-Deep: Automated Empirical Performance Modeling for Distributed Deep Learning. 1343-1356 - Isabel Thärigen, Marc-André Hermanns, Markus Geimer:
An Event Model for Trace-Based Performance Analysis of MPI Partitioned Point-to-Point Communication. 1357-1367 - Seyed Ali Mohammadi, Lukas Rothenberger, Gustavo de Morais, Bertin Nico Görlich, Erik Lille, Hendrik Rüthers, Felix Wolf:
Filtering and Ranking of Code Regions for Parallelization via Hotspot Detection and OpenMP Overhead Analysis. 1368-1379 - Jakob Lüttgau, Shane Snyder, Tyler Reddy, Nikolaus Awtrey, Kevin Harms, Jean Luca Bez, Rui Wang, Robert Latham, Philip H. Carns:
Enabling Agile Analysis of I/O Performance Data with PyDarshan. 1380-1391 - Soumya Sen, Stepan Vanecek, Martin Schulz:
GPUscout: Locating Data Movement-related Bottlenecks on GPUs. 1392-1402 - Jan Frenzel, Apurv Deepak Kulkarni, Sebastian Döbel, Bert Wesarg, Maximilian Knespel, Holger Brunst:
FROOM: A Framework of Operators for OTF2 Modification. 1403-1411
Fourth International Workshop on Quantum Computing Software (QCS)
- Wim van Dam, Mariia Mykhailova, Mathias Soeken:
Using Azure Quantum Resource Estimator for Assessing Performance of Fault Tolerant Quantum Computation. 1412-1419 - Yue Shi, Tommy Nguyen, Samuel Alexander Stein, Tim Stavenger, Marvin Warner, Martin Roetteler, Torsten Hoefler, Ang Li:
A Reference Implementation for a Quantum Message Passing Interface. 1420-1425 - Tyler LeBlond, Ryan S. Bennink, Justin G. Lietz, Christopher M. Seck:
TISCC: A Surface Code Compiler and Resource Estimator for Trapped-Ion Processors. 1426-1435 - Alex Shapiro, Ryan LaRose:
BGLS: A Python Package for the Gate-by-Gate Sampling Algorithm to Simulate Quantum Circuits. 1436-1442 - Danylo Lykov, Ruslan Shaydulin, Yue Sun, Yuri Alexeev, Marco Pistoia:
Fast Simulation of High-Depth QAOA Circuits. 1443-1451 - Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao:
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation. 1452-1453 - John K. Golden, Andreas Bärtschi, Dan O'Malley, Elijah Pelofske, Stephan J. Eidenbenz:
JuliQAOA: Fast, Flexible QAOA Simulation. 1454-1459 - Meng Wang, Fei Hua, Chenxu Liu, Nicholas P. Bauman, Karol Kowalski, Daniel Claudino, Travis S. Humble, Prashant J. Nair, Ang Li:
Enabling Scalable VQE Simulation on Leading HPC Systems. 1460-1467 - Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel Alexander Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li:
QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices. 1468-1477 - Stefano Markidis:
Enabling Quantum Computer Simulations on AMD GPUs: a HIP Backend for Google's qsim. 1478-1486 - Ankit Kulshrestha, Ilya Safro, Yuri Alexeev:
QArchSearch: A Scalable Quantum Architecture Search Package. 1487-1491 - Hayato Ushijima-Mwesigwa, Xiaoyuan Liu:
An Ising-based Model for Qubit Mapping. 1492-1498 - Keichi Takahashi, Toshio Mori, Hiroyuki Takizawa:
Prototype of a Batched Quantum Circuit Simulator for the Vector Engine. 1499-1505
3rd International Workshop on RESource DISaggregation in High-Performance Computing (RESDIS)
- Phil Cayton, Michael Aguilar, Christian Pinto:
Sunfish: An Open Centralized Composable HPC Management Framework. 1506-1511 - Rashadul Kabir, Ryan Gary Kim, Mahdi Nikdast:
RISA: Round-Robin Intra-Rack Friendly Scheduling Algorithm for Disaggregated Datacenters. 1512-1520
Second International Workshop on RISC-V for HPC (RISC-V HPC)
- Francisco D. Igual, Luis Piñuel, Sandra Catalán, Héctor Martínez, Adrián Castelló, Enrique S. Quintana-Ortí:
Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors. 1521-1532 - Patrick Diehl, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Hartmut Kaiser, Christopher Taylor, John Leidel:
Evaluating HPX and Kokkos on RISC-V using an astrophysics application Octo-Tiger. 1533-1542 - Pablo Vizcaino, Georgios Ieronymakis, Nikolaos Dimou, Vassilis Papaefstathiou, Jesús Labarta, Filippo Mantovani:
Short Reasons for Long Vectors in HPC CPUs: A Study Based on RISC-V. 1543-1549 - Sonia Rani Gupta, Nikela Papadopoulou, Miquel Pericàs:
Challenges and Opportunities in the Co-design of Convolutions and RISC-V Vector Processors. 1550-1556 - Daniel Weaver, Simon McIntosh-Smith:
An Empirical Comparison of the RISC-V and AArch64 Instruction Sets. 1557-1565 - Nick Brown, Maurice Jamieson, Joseph K. L. Lee, Paul Wang:
Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU. 1566-1574
13th International Workshop on Runtime and Operating Systems for Supercomputers (ROSS 2023)
- Benjamin Glick, Arjun Sabnis, Renate Kempf, Arnav Goel, Aarti Lalwani, Guoyao Feng, Kiran Ranganath:
RDARuntime: An OS for AI Accelerators. 1575-1587 - Niklas Eiling, Martin Kröning, Jonathan Klimt, Philipp Fensch, Stefan Lankes, Antonello Monti:
GPU Acceleration in Unikernels Using Cricket GPU Virtualization. 1588-1595 - Thomas Filipiuk, Nick Wanninger, Nadharm Dhiantravan, Carson Surmeier, Alex Bernat, Peter A. Dinda:
CARAT KOP: Towards Protecting the Core HPC Kernel from Linux Kernel Modules. 1596-1605 - Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic:
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. 1606-1613 - Minyu Cui, Nikela Papadopoulou, Miquel Pericàs:
Analysis and Characterization of Performance Variability for OpenMP Runtime. 1614-1622
Redefining Scalability for Diversely Heterogeneous Architectures (RSDHA)
- Christopher J. Coley:
Vertical Scaling of Variational Multiscale Modeling for Fluid Dynamics: Successes, Challenges, and Opportunities. 1623-1634 - Sanil Rao, Mohammad Alaul Haque Monil, Het Mankad, Jeffrey S. Vetter, Franz Franchetti:
FFTX-IRIS: Towards Performance Portability and Heterogeneity for SPIRAL Generated Code. 1635-1641 - Serhan Gener, Md Sahil Hassan, Ali Akoglu:
Value-Based Resource Management at SoC Scale. 1642-1650 - Norihisa Fujita, Beau Johnston, Ryohei Kobayashi, Keita Teranishi, Seyong Lee, Taisuke Boku, Jeffrey S. Vetter:
CHARM-SYCL: New Unified Programming Environment for Multiple Accelerator Types. 1651-1661 - Xueyang Liu, Patricia Gonzalez-Guerrero, Ivy Peng, Ronald G. Minnich, Maya B. Gokhale:
Accelerator integration in a tile-based SoC: lessons learned with a hardware floating point compression engine. 1662-1669
14th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems (ScalAH'23)
- Ahmad Abdelfattah, Stanimire Tomov, Piotr Luszczek, Hartwig Anzt, Jack J. Dongarra:
GPU-based LU Factorization and Solve on Batches of Matrices with Band Structure. 1670-1679 - Dalal Sukkari, Mark Gates, Mohammed A. Al Farhan, Hartwig Anzt, Jack J. Dongarra:
Task-Based Polar Decomposition Using SLATE on Massively Parallel Systems with Hardware Accelerators. 1680-1687 - Xinzhe Wu, Edoardo Di Napoli:
Advancing the distributed Multi-GPU ChASE library through algorithm optimization and NCCL library. 1688-1696 - Pedro Valero-Lara, Jeffrey S. Vetter, John Gounley, Amanda Randles:
Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. 1697-1704 - Mohammad Zubair, Aaron Walden, Gabriel Nastac, Eric J. Nielsen, Christoph Bauinger, Xiao Zhu:
Optimization of Ported CFD Kernels on Intel Data Center GPU Max 1550 using oneAPI ESIMD. 1705-1712 - Ryuichi Sai, Mathias Jacquelin, François P. Hamon, Mauricio Araya-Polo, Randolph R. Settgast:
Massively Distributed Finite-Volume Flux Computation. 1713-1720 - Tobias Ribizel, Hartwig Anzt:
Parallel Symbolic Cholesky Factorization. 1721-1727
Fourth International Symposium on Checkpointing for Supercomputing (SuperCheck-SC23)
- Niklas Eiling, Stefan Lankes, Antonello Monti:
Checkpoint/Restart for CUDA Kernels. 1728-1737 - Yao Xu, Leonid Belyaev, Twinkle Jain, Derek Schafer, Anthony Skjellum, Gene Cooperman:
Implementation-Oblivious Transparent Checkpoint-Restart for MPI. 1738-1747 - Kevin Assogba, Bogdan Nicolae, Hubertus Van Dam, M. Mustafa Rafique:
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics. 1748-1756
1st Workshop on Software and Hardware Co-design of Deep Learning Systems in Accelerators (SHDA)
- Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao:
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. 1757-1766 - Yuke Li, Jiwon Baik, Md Marufi Rahman, Iraklis Anagnostopoulos, Ruopu Li, Tong Shu:
Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices. 1767-1775 - Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann:
Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision. 1776-1779 - Yicheng Zhang, Dhroov Pandey, Di Wu, Turja Kundu, Ruopu Li, Tong Shu:
Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations. 1780-1788
The 1st International Workshop on the Environmental Sustainability of High-Performance Software (SHiPS)
- Lorenzo Carpentieri, Marco D'Antonio, Kaijie Fan, Luigi Crisci, Biagio Cosenza, Federico Ficarelli, Daniele Cesarini, Gianmarco Accordi, Davide Gadioli, Gianluca Palermo, Peter Thoman, Philip Salzmann, Philipp Gschwandtner, Markus Wippler, Filippo Marchetti, Daniele Gregori, Andrea Rosario Beccari:
Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications. 1789-1800 - Daniel C. Wilson, Fatih Acun, Siddhartha Jana, Federico Ardanaz, Jonathan M. Eastep, Ioannis Ch. Paschalidis, Ayse K. Coskun:
An End-to-End HPC Framework for Dynamic Power Objectives. 1801-1811 - Francesco Antici, Mohsen Seyedkazemi Ardebili, Andrea Bartolini, Zeynep Kiziltan:
PM100: A Job Power Consumption Dataset of a Large-scale Production HPC System. 1812-1819 - Francesco Antici, Keiji Yamamoto, Jens Domke, Zeynep Kiziltan:
Augmenting ML-based Predictive Modelling with NLP to Forecast a Job's Power Consumption. 1820-1830 - Anders Aaen Springborg, Michele Albano, Samuel Xavier de Souza:
Automatic Energy-Efficient Job Scheduling in HPC: A Novel SLURM Plugin Approach. 1831-1838 - Sofia Montebugnoli, Anna Ciampolini:
Energy consumption comparison of parallel linear systems solver algorithms on HPC infrastructure. 1839-1848
2nd International Workshop on Cyber Security in High Performance Computing (S-HPC 2023)
- Shinobu Miwa, Shin'ichiro Matsuo:
Analyzing the Performance Impact of HPC Workloads with Gramine+SGX on 3rd Generation Xeon Scalable Processors. 1849-1858
Sustainable Supercomputing (SusSup23)
- Gabriel Hautreux, Etienne Malaboeuf:
Reducing HPC energy footprint for large scale GPU accelerated workloads. 1859-1865 - Adrian Jackson, Alan Simpson, Andrew Turner:
Emissions and energy efficiency on large-scale high performance computing facilities: ARCHER2 UK national supercomputing service case study. 1866-1870 - Jakub Adamski, James P. Richings, Oliver Thomson Brown:
Energy Efficiency of Quantum Statevector Simulation at Scale. 1871-1875 - Mohak Chadha, Eishi Arima, Amir Raoofy, Michael Gerndt, Martin Schulz:
Sustainability in HPC: Vision and Opportunities. 1876-1880 - Osman Seckin Simsek, Jean-Guillaume Piccinali, Florina M. Ciorba:
Accurate Measurement of Application-level Energy Consumption for Energy-Aware Large-Scale Simulations. 1881-1884 - Adrian Jackson, Jon Hays, Alex Owen, Nicholas Walton, Alison Packer, Anish Mudaraddi:
Evaluating Total Environmental Impact for a Computing Infrastructure. 1885-1889 - Anish Govind, Sridutt Bhalachandra, Zhengji Zhao, Ermal Rrapaj, Brian Austin, Hai Ah Nam:
Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation. 1890-1893 - Anna Yue, Torsten Wilde, Steven Martin, Pen-Chung Yew, Sanyam Mehta:
ReAPER: Region Aware Power and Energy Regulator. 1894-1897
Tenth Workshop on Accelerator Programming and Directives (WACCPD 2023)
- Naima Alaoui Ismaili, Philippe Wautelet, Juan Escobar Munoz, Gabriel Hautreux:
Porting and optimizing Meso-NH to AMD MI250X GPUs. 1898-1905 - Tim Thüring, Marcel Breyer, Dirk Pflüger:
Comparing a Naive and a Tree-Based N-Body Algorithm using Different Standard SYCL Implementations on Various Hardware. 1906-1917 - Dhruva R. Chakrabarti, Gregory Rodgers, Carlo Bertolli, Gheorghe-Teodor Bercea, Jan-Patrick Lehr, Lynd Stringer, Jan Leyonberg, Dan Palermo, Ron Lieberman:
Specialized Kernels for Optimizing GPU Offload in OpenMP. 1918-1928 - Eric Wright, Cena Brown, Damien Przybylski, Matthias Rempel, Supreeth Suresh, Sunita Chandrasekaran:
Analysis of MURaM, a Solar Physics Application, for Scalability, Performance and Portability. 1929-1938 - Oscar Antepara, Samuel Williams, Scott Kruger, Torrin Bechtel, Joseph McClenaghan, Lang Lao:
Performance-Portable GPU Acceleration of the EFIT Tokamak Plasma Equilibrium Reconstruction Code. 1939-1948 - Reet Barik, Siddhisanket Raskar, Murali Emani, Venkatram Vishwanath:
Characterizing the Performance of Triangle Counting on Graphcore's IPU Architecture. 1949-1957 - Diego A. Roa Perdomo, Rodrigo Ceccato, Rémy Neveu, Hervé Yviquel, Xiaoming Li, Jose Manuel Monsalve Diaz, Johannes Doerfert:
Memory Transfer Decomposition: Exploring Smart Data Movement Through Architecture-Aware Strategies. 1958-1967
The 18th Workshop on Workflows in Support of Large-Scale Science (WORKS23)
- Marcus Adair, Ivan Rodero, Manish Parashar, Diego Melgar:
Accelerating Data-Intensive Seismic Research Through Parallel Workflow Optimization and Federated Cyberinfrastructure. 1968-1977 - Barry Sly-Delgado, Thanh Son Phung, Colin Thomas, David Simonetti, Andrew Hennessee, Ben Tovar, Douglas Thain:
TaskVine: Managing In-Cluster Storage for High-Throughput Data Intensive Workflows. 1978-1988 - William F. Godoy, Pedro Valero-Lara, Caira Anderson, Katrina W. Lee, Ana Gainaru, Rafael Ferreira da Silva, Jeffrey S. Vetter:
Julia as a unifying end-to-end workflow language on the Frontier exascale system. 1989-1999 - David Marchant, Mark Blomqvist, Philip Jensen, Iben Lilholm, Martin Nørgaard:
Delivering Rules-Based Workflows for Science. 2000-2008 - Zaynab Zahra, Zihao Li, Rosa Filgueira:
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion. 2009-2020 - Liang Liang, Heting Zhang, Guang Yang, Thomas Heinis, Rosa Filgueira:
Optimization towards Efficiency and Stateful of dispel4py. 2021-2032 - Thomas Larcher, Sashko Ristov:
Scale Composite BaaS Services With AFCL Workflows. 2033-2041 - Donatello Elia, Sonia Scardigno, Jorge Ejarque, Alessandro D'Anca, Gabriele Accarino, Enrico Scoccimarro, Davide Donno, Daniele Peano, Francesco Immorlano, Giovanni Aloisio:
End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning. 2042-2052 - Dante D. Sánchez-Gallegos, José Luis González Compeán, Jesús Carretero, Heidy Marisol Marín-Castro:
A data science pipeline synchronisation method for edge-fog-cloud continuum. 2053-2064 - Marco Aldinucci, Elena Maria Baralis, Valeria Cardellini, Iacopo Colonnelli, Marco Danelutto, Sergio Decherchi, Giuseppe Di Modica, Luca Ferrucci, Marco Gribaudo, Francesco Iannone, Marco Lapegna, Doriana Medic, Giuseppa Muscianisi, Francesca Righetti, Eva Sciacca, Nicola Tonellotto, Mauro Tortonesi, Paolo Trunfio, Tullio Vardanega:
A Systematic Mapping Study of Italian Research on Workflows. 2065-2076 - Tapasya Patki, Dong H. Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland:
Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. 2077-2088 - Ana Markovic, Dimitris S. Kolovos, Leandro Soares Indrusiak:
Distributed Data Locality-Aware Job Allocation. 2089-2096 - Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal:
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. 2097-2108
The 5th Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing (XLOOP 2023)
- Sinisa Veseli, John Hammonds, Steven Henke, Hannah Parraga, Nicholas Schwarz:
Streaming Data from Experimental Facilities to Supercomputers for Real-Time Data Processing. 2109-2117 - Anees Al-Najjar, Nageswara S. V. Rao, Craig Bridges, Sheng Dai:
Cross-Facility Orchestration of Electrochemistry Experiments and Computations. 2118-2125 - Hannah Parraga, John Hammonds, Steven Henke, Sinisa Veseli, William E. Allcock, Benoît Côté, Ryan Chard, Suresh Narayanan, Nicholas Schwarz:
Empowering Scientific Discovery Through Computing at the Advanced Photon Source. 2126-2132 - Michael H. Prince, Doga Gürsoy, Dina Sheyfer, Ryan Chard, Benoît Côté, Hannah Parraga, Barbara Frosik, Jonathan Z. Tischler, Nicholas Schwarz:
Demonstrating Cross-Facility Data Processing at Scale With Laue Microdiffraction. 2133-2139 - Alexander Brace, Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Arvind Ramanathan, Nestor J. Zaluzec, Ian T. Foster:
Linking the Dynamic PicoProbe Analytical Electron-Optical Beam Line / Microscope to Supercomputers. 2140-2146 - Tobias Ginsburg, Kyle Hippe, Ryan Lewis, Aileen Cleary, Doga Ozgulbas, Rory Butler, Casey Stone, Abraham Stroka, Rafael Vescovi, Ian T. Foster:
Exploring Benchmarks for Self-Driving Labs using Color Matching. 2147-2152
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