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ORCIDSC Workshops 2024: Atlanta, GA, USA
- SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17-22, 2024. IEEE 2024, ISBN 979-8-3503-5554-3
AI4S 2024: 5th International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications
- Ye Htet, Marion Sudvarg, Andrew Butzel, Jeremy D. Buhler, Roger D. Chamberlain, James H. Buckley:
Machine Learning Aboard the ADAPT Gamma-Ray Telescope. 4-10 - Junqi Yin, Siming Liang, Siyan Liu, Feng Bao, Hristo G. Chipilski, Dan Lu, Guannan Zhang:
A Scalable Real-Time Data Assimilation Framework for Predicting Turbulent Atmosphere Dynamics. 11-18 - Pedro Valero-Lara, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter:
ChatBLAS: The First AI-Generated and Portable BLAS Library. 19-24 - Kendric Hood, Kelin Rumsey, Mark Cola, Bruce Madigan, Christina Scovel, Mike McAninch, Nathan DeBardeleben
:
Echo State Networks: A Non-Intrusive Approach to Anomaly Detection in Manufacturing. 25-31 - Sofya Dymchenko, Abhishek Purandare, Bruno Raffin:
MelissaDL x Breed: Towards Data-Efficient On-line Supervised Training of Multi-parametric Surrogates with Active Learning. 32-40 - Mohammad Atif, Pulkit Dubey, Pratik P. Aghor, Vanessa López-Marrero, Tao Zhang, Abdullah Sharfuddin, Kwangmin Yu, Fan Yang, Foluso Ladeinde, Yangang Liu, Meifeng Lin, Lingda Li:
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence. 41-48 - Tanwi Mallick, Orcun Yildiz, David Lenz, Tom Peterka:
ChatVis: Automating Scientific Visualization with a Large Language Model. 49-55 - Dhroov Pandey, Jonah Ghebremichael, Zongqing Qi, Tong Shu:
A Comparative Survey: Reusing Small Pre-Trained Models for Efficient Large Model Training. 56-63 - Jordan A. Welsman, Gunther H. Weber, Oluwamayowa O. Amusat, Anna Giannakou, Lavanya Ramakrishnan:
Enhancing Electron Microscopy Image Classification Using Data Augmentation. 64-71 - Emily J. Herron, Junqi Yin, Feiyi Wang:
SciTrust: Evaluating the Trustworthiness of Large Language Models for Science. 72-78 - David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frédéric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie:
AI Surrogate Model for Distributed Computing Workloads. 79-86 - Rui Pan, Tuan Dung Nguyen, Hardik Arora, Alberto Accomazzi, Tirthankar Ghosal, Yuan-Sen Ting:
AstroMLab 2: AstroLLaMA-2-70B Model and Benchmarking Specialised LLMs for Astronomy. 87-96
CANOPIE-HPC 2024: 6th International Workshop on Containers and New Orchestration Paradigms for Isolated Environments in HPC
- Kausalya Sankaranarayanan, Rohan Basu Roy, Devesh Tiwari:
PULSE: Using Mixed-Quality Models for Reducing Serverless Keep-Alive Cost. 99-109 - Anderson Andrei Da Silva, Rolando Pablo Hong Enriquez, Gourav Rattihalli, Vijay Thurimella, Rafael Ferreira da Silva, Dejan S. Milojicic:
Enabling HPC Scientific Workflows for Serverless. 110-125 - Reid Priedhorsky, Michael Jennings, Megan Phinney:
Zero-consistency root emulation for unprivileged container image build. 126-136
CORRECTNESS 2024: Eighth International Workshop on Software Correctness for HPC Applications
- Teo Price-Broncucia, Allison H. Baker, Michael G. Duda:
The Fused Multiply-Add and Global Atmospheric Models: A Distributional Investigation into a Surprising Correctness Scenario. 140-147 - Jackson Vanover, Alper Altuntas, Cindy Rubio-González:
Toward Automated Precision Tuning of Weather and Climate Models: A Case Study. 148-159 - Sameerah Helal, Zhe Tao, Cindy Rubio-González, François Gygi, Aditya V. Thakur:
Towards Verifying Exact Conditions for Implementations of Density Functional Approximations. 160-169 - Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver, Oscar R. Hernandez, Mark Coletti, Ada Sedova:
Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications. 170-179 - Vivek Kale, Hanru Yan, Shyamali Mukherjee, Jackson R. Mayo, Keita Teranishi, Richard Rutledge, Alessandro Orso:
Toward Automated Detection of Portability Bugs in Kokkos Parallel Programs. 180-188 - Lechen Yu, Feiyang Jin, Joachim Jenke, Vivek Sarkar:
Facilitating Bug Detection for OpenMP Offloading Applications. 189-195 - Jan-Patrick Lehr, Michael Halkenhäuser, Dhruva R. Chakrabarti, Saiyedul Islam, Dan Palermo, Ron Lieberman:
ompTest - Unit Testing with OMPT. 196-203 - Alexander Hück, Tim Ziegler, Simon Schwitanski, Joachim Jenke, Christian H. Bischof:
Compiler-Aided Correctness Checking of CUDA-Aware MPI Applications. 204-213 - Romain Pereira, George Stelle, Patrick Carribault:
Taskgrind: Heavyweight Dynamic Binary Instrumentation for Parallel Programs Analysis. 214-221 - Tim Jammer, Simon Schwitanski, Emmanuelle Saillard, Alexander Hück, Joachim Jenke, Radjasouria Vinayagame, Christian H. Bischof:
Designing Quality MPI Correctness Benchmarks: Insights and Metrics. 222-226 - Cornelius Pätzold, Simon Schwitanski, Joachim Jenke, Felix Tomski, Matthias S. Müller:
Correctness Checking of MPI+OpenMP Applications Using Vector Clocks in MUST. 227-231 - Jan-Patrick Lehr, Michael Halkenhäuser, Dhruva R. Chakrabarti, Saiyedul Islam, Dan Palermo, Ron Lieberman:
OMPTBench - OpenMP Tool Interface Conformance Testing. 232-236
DRBSD-10 2024: The 10th International Workshop on Data Analysis and Reduction for Big Scientific Data
- Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt:
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. 240-249 - Yanni Etchi, Daoce Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens, David H. Rogers:
An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction. 250-259 - Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. 260-269 - Rajeev Jain, Houjun Tang, Akash Dhruv, Suren Byna:
Enabling Data Reduction for Flash-X Simulations. 270-279 - Naw Safrin Sattar, Hao Lu, Feiyi Wang:
BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer. 280-289 - Ayan Biswas, Aditi Mishra, Meghanto Majumder, Subhashis Hazarika, Alexander Most, Juan Castorena, Christopher Bryan, Patrick S. McCormick, James P. Ahrens, Earl Lawrence, Aric A. Hagberg:
Filling the Void: Data-Driven Machine Learning-based Reconstruction of Sampled Spatiotemporal Scientific Simulation Data. 290-299 - Youyuan Liu, Wenqi Jia, Taolue Yang, Miao Yin, Sian Jin:
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications. 300-308 - Ramasoumya Naraparaju, Tianyu Zhao, Yanting Hu, Dongfang Zhao, Luanzheng Guo, Nathan R. Tallent:
Shifting Between Compute and Memory Bounds: A Compression-Enabled Roofline Model. 309-316 - Taolue Yang, Youyuan Liu, Bo Jiang, Sian Jin:
GPUFASTQLZ: An Ultra Fast Compression Methodology for Fastq Sequence Data on GPUs. 317-325 - Qing Zheng, Brian Atkinson, Daoce Wang, Jason Lee, John Patchett, Dominic Manno, Gary Grider:
Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience. 326-335
EduHPC 2024: Workshop on Education for High-Performance Computing
- Joel C. Adams:
Improving Input-Step Performance. 340-346 - Alexander Van Craen, Marcel Breyer, Dirk Pflüger:
Introduction to Parallel and Distributed Programming using N-Body Simulations. 347-354 - Michela Taufer, Heberth F. Martinez, Aashish Panta, Paula Olaya, Jack D. Marquez, Amy Gooch, Giorgio Scorzelli, Valerio Pascucci:
Leveraging National Science Data Fabric Services to Train Data Scientists. 355-362 - Anurag Dasgupta, Venkat Margapuri, Simon Shamoun, Shubbhi Taneja, Matthew Toups:
Hands-On Learning: Teaching Parallel and Distributed Computing through Unplugged Activities in Undergraduate CS Courses. 363-369
EPSOUQ-HPC 2024: Second Workshop on Enabling Predictive Science with Optimization and Uncertainty Quantification in HPC
- Xin Huang, Wubiao Xu, Shiman Meng, Weiping Zhang, Xiang Fu, Luanzheng Guo, Kento Sato:
Scrutinizing Variables for Checkpoint Using Automatic Differentiation. 372-379 - Ali Haisam Muhammad Rafid, Junqi Yin, Yuwei Geng, Siming Liang, Feng Bao, Lili Ju, Guannan Zhang:
A Scalable Training-Free Diffusion Model for Uncertainty Quantification. 380-386 - Clara J. Almeida, David Guerrero-Pantoja, Erik Pautsch, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja:
Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models. 387-393 - Antigoni Georgiadou, Henry Monge-Camacho, Tanvir Sohail, Swarnava Ghosh, Arjun Valiya Parambathu, Dilipkumar N. Asthagiri, Dmytro Bykov, Tushar M. Athawale, Thomas L. Beck:
Ensemble Simulations on Leadership Computing Systems. 394-401
ExaMPI 2024: Workshop on Exascale MPI
- Jesper Larsson Träff, Ioannis Vardas, Sascha Hunold:
Modes, Persistence and Orthogonality: Blowing MPI Up. 404-413 - Jake Tronge, Joseph Schuchart, Lisandro Dalcín, Howard Pritchard:
Improving MPI Language Support Through Custom Datatype Serialization. 414-424 - Hui Zhou, Robert Latham, Ken Raffenetti, Yanfei Guo, Rajeev Thakur:
MPI Progress For All. 425-435 - Yiltan Hassan Temuçin, Whit Schonbein, Scott Levy, Amir Hossein Sojoodi, Ryan E. Grant, Ahmad Afsahi:
Design and Implementation of MPI-Native GPU-Initiated MPI Partitioned Communication. 436-447 - Jason R. Stewart, Patrick G. Bridges:
Beatnik: A Novel Global Communication Mini-Application. 448-456 - Jerónimo S. García, Salvatore Di Girolamo, Sokol Kosta, J. J. Vegas Olmos, Rami Nudelman, Torsten Hoefler, Gil Bloch:
Offloaded MPI message matching: an optimistic approach. 457-469
FTXS 2024: Workshop on Fault Tolerance for HPC at eXtreme Scale
- Cristóbal Camarero, Alejandro Cano, Carmen Martínez, Ramón Beivide:
Achieving High-Performance Fault-Tolerant Routing in HyperX Interconnection Networks. 472-483 - Anjus George, Meng Wang, Jesse Hanley, Garrett Wilson Ransom, John Bent, Christopher Zimmer:
From Failure to Insight: Analyzing Disk Breakdowns in Large-Scale HPC Environments. 484-495 - Haochen Pan, Ryan Chard, Sicheng Zhou, Alok Kamatar, Rafael Vescovi, Valérie Hayot-Sasson, André Bauer, Maxime Gonthier, Kyle Chard, Ian T. Foster:
Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing. 496-507 - Anne Benoit, Lucas Perotin, Yves Robert, Frédéric Vivien:
Checkpointing strategies for a fixed-length execution. 508-518
H2RC 2024: Tenth International Workshop on Heterogeneous High-Performance Reconfigurable Computing
- Ehsan Kabir, Jason D. Bakos, David Andrews, Miaoqing Huang:
ProTEA: Programmable Transformer Encoder Acceleration on FPGA. 521-530 - Babar Khan, Andreas Koch:
DeLiBA-K: Speeding-up Hardware-Accelerated Distributed Storage Access by Tighter Linux Kernel Integration and Use of a Modern API. 531-544
HPCTESTS 2024: Second International Workshop on HPC Testing and Evaluation of Systems, Tools, and Software
- Anwar Hossain Zahid, Ignacio Laguna, Wei Le:
Testing GPU Numerics: Finding Numerical Differences Between NVIDIA and AMD GPUs. 547-557 - Amit Ruhela, John Cazes, John D. McCalpin, Carlos Del-Castillo-Negrete, Junjie Li, Hang Liu, Hanning Chen, Chun-Yaung Lu, Kent F. Milfeld, Wenyang Zhang, Ian Wang, Lars Koesterke, John DeSantis, Nic Lewis, Sean Hempel, Dan Stanzione:
Performance Analysis of Scientific Applications on an NVIDIA Grace System. 558-566 - Gabin Schieffer, Ruimin Shi, Stefano Markidis, Andreas Herten, Jennifer Faj, Ivy Peng:
Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric. 567-576 - Ignacio Laguna, Patrick J. Chapman, Konstantinos Parasyris, Giorgis Georgakoudis, Cindy Rubio-González:
Testing the Unknown: A Framework for OpenMP Testing via Random Program Generation. 577-587 - Nikolay A. Simakov, Joseph P. White, Matthew D. Jones, Eva Siegmann, Daniel G. Wood, Firat Coskun, Robert J. Harrison:
Benchmarking and Continuous Performance Monitoring of Ookami, an ARM Fujitsu A64FX Testbed Cluster. 588-594
HUST 2024: 11th International Workshop on HPC User Support Tools
- Rachana Ananthakrishnan, Yadu N. Babuji, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Lev Gorenstein, Kevin Hunter Kesling, Chris Janidlo, Daniel S. Katz, Reid Mello, J. Gregory Pauloski, Lei Wang:
Establishing a High-Performance and Productive Ecosystem for Distributed Execution of Python Functions Using Globus Compute. 597-606 - Yuwu Chen, Trevor Cooper, Christopher Irving, Mahidhar Tatineni, Nicole Wolter, Dmitry Mishin, Subhashini Sivagnanam:
Experiences in Managing High-performance Computing Management and Support Tools while Upgrading a Campus Cluster. 607-612 - Ryan T. DeRue, Jacob Verburgt:
CANARI: A Monitoring Framework for Cluster Analysis and Node Assessment for Resource Integrity. 613-620 - Austin Lovell, Philip Wisniewski, Sarah Rodenbeck, Ashish:
A Hierarchical Deep Learning Approach for Predicting Job Queue Times in HPC Systems. 621-628 - Marco A. S. Netto:
HPCAdvisor: A Tool for Assisting Users in Selecting HPC Resources in the Cloud. 629-637
IA3 2024: 14th Workshop on Irregular Applications, Architectures and Algorithms
- Elaheh Hassani, Md Taufique Hussain, Ariful Azad:
Batch Updates of Distributed Streaming Graphs using Linear Algebra. 645-649 - Haoshen Yang, Hao Lu, Naw Safrin Sattar, Hang Liu, Feiyi Wang:
Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs. 650-658 - Yi-Chien Lin, Zhijie Xu, Viktor K. Prasanna:
xBS-GNN: Accelerating Billion-Scale GNNTraining on FPGA. 659-666 - Hanjiang Wu, Huan Xu, Joongun Park, Jesmin Jahan Tithi, Fabio Checconi, Jordi Wolfson-Pou, Fabrizio Petrini, Tushar Krishna:
Enhancing Scalability and Performance in Influence Maximization with Optimized Parallel Processing. 667-676 - Aaron Welch, Oscar R. Hernandez, Stephen W. Poole, Wendy Poole:
Enhancing Small Message Aggregation with Directive-Based Deferred Execution. 677-681 - Kavitha Chandrasekar, Laxmikant V. Kalé:
Shared Memory-Aware Latency-Sensitive Message Aggregation for Fine-Grained Communication. 682-687 - Keita Iwabuchi, Trevor Steil, Benjamin W. Priest, Roger Pearce, Geoffrey Sanders:
NEO-DNND: Communication-Optimized Distributed Nearest Neighbor Graph Construction. 688-696 - Ritvik Rao, Kavitha Chandrasekar, Laxmikant V. Kalé:
An Adaptive Asynchronous Approach for the Single-Source Shortest Paths Problem. 697-702 - M. Ozan Karsavuran, Esmond G. Ng, Barry W. Peyton:
GPU Accelerated Sparse Cholesky Factorization. 703-707 - Thomas Lane Cassell, Tom Deakin, Aksel Alpay, Vincent Heuveline, Gonzalo Brito Gadeschi:
Efficient Tree-based Parallel Algorithms for N-Body Simulations Using C++ Standard Parallelism. 708-717 - Yuttapichai Kerdcharoen, Upasana Sridhar, Orathai Sangpetch, Tze Meng Low:
Linear Algebra Approach for Directed Triad Counting and Enumeration. 718-726 - Ryunosuke Matsuzaki, Daichi Mukunoki, Takaaki Miyajima:
Performance evaluation and modelling of single-precision matrix multiplication on Cerebras CS-2. 727-731 - Hikaru Takayashiki, Natsuko Saito, Hiroto Imachi, Ryo Sakamoto, Junichiro Makino:
Performance Analysis of the NICAM Benchmark on MN-Core Processor. 732-736 - Roy Krumpak, Joze M. Rozanec, Martin Molan, Matteo Angelinelli, Andrea Bartolini:
Predicting Compute Node Unavailability in HPC: A Graph-Based Machine Learning Approach. 737-740
INDIS 2024: 11th Annual International Workshop on Innovating the Network for Data Intensive Science
- Vladimir Omelyusik, Khawar Shehzad, Tyler J. Banks, Praveen Rao, Satish S. Nair:
On Scaling Neuronal Network Simulations Using Distributed Computing. 745-749 - Phuong Cao:
Jupyter Notebook Attacks Taxonomy: Ransomware, Data Exfiltration, and Security Misconfiguration. 750-754 - Anestis Dalgkitsis, Alexandros Koufakis, Jorrit Stutterheim, Aleandro Mifsud, Priyanka Atwani, Leon Gommans, Cees de Laat, Chrysa Papagianni, Ana Oprescu:
Secure Collaborative Model Training with Dynamic Federated Learning in Multi-Domain Environments. 755-759 - Sankalpa Timilsina, Susmit Shannigrahi:
LIDC: A Location Independent Multi-Cluster Computing Framework for Data Intensive Science. 760-764 - Kasandra Pillay, Johann Hugo, Ajay Makan, Thokozani Khwela, Thuso Bogopa, Manqoba Shabalala:
SANReN's 100 Gbps Data Transfer Service: Transferring data fast! 765-769 - Vijeth Kumbarahally Lakshminarayana, Carolina Minami Oguchi, Alex Sim, Kesheng Wu, Dipak Ghosal:
A Study of a Deterministic Networking Framework for Latency Critical Large Scientific Data Transfers. 770-774 - Marcos F. Schwarz, Brian Tierney, Kiran Vasu, Eli Dart, Christian Esteve Rothenberg, Jeronimo Bezerra, Italo Valcy S. Brito:
Recent Linux Improvements that Impact TCP Throughput: Insights from R&E Networks. 775-784 - Tom Costello, Nick Buraglio, Andy Fleming, Ben Tasker, Brandon Siegel:
Improving transition to IPv6-only via RFC8925 and IPv4 DNS Interventions : A case study in implementing an IPv6-only testbed which informs IPv4-only clients why internet access is unavailable. 785-792 - Hadi Sahin, Jeronimo Bezerra, Italo Brito, Renata Frez, Vasilka Chergarova, Luis Fernandez Lopez, Julio Ibarra:
Leveraging In-band Network Telemetry for Automated DDoS Detection in Production Programmable Networks: The AmLight Use Case. 793-802 - Nageswara S. V. Rao, Muneer Alshowkan, Joseph C. Chapman, Nicholas A. Peters, Hsuan-Hao Lu, Joseph M. Lukens, Saikat Guha:
Entanglement Capacity Estimates and Throughput Measurements of Quantum Channels. 803-809 - Mohamed Shaban, Muhammad Ismail, Mariam Kiran:
QNTN: Establishing a Regional Quantum Network in Tennessee. 810-818 - Peter Willis, Nirmala Shenoy, Yin Pan, Bill Stackpole, John F. Hamilton:
New Techniques to Route in Folded-Clos Topology Data Center Networks. 819-828 - Anees Al-Najjar, Domingos Paraiso, Mariam Kiran, Cristina K. Dominicini, Everson Scherrer Borges, Rafael S. Guimarães, Magnos Martinello, Harvey Newman:
Framework for Integrating Machine Learning Methods for Path-Aware Source Routing. 829-838
ISAV 2024: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
- Andres Sewell, Dimitrios K. Fytanidis, Victor A. Mateevitsi, Cyrus Harrison, Nicole Marsaglia, Thomas Marrinan, Silvio Rizzi, Joseph A. Insley, Michael E. Papka, Steve Petruzza:
Bridging Gaps in Simulation Analysis through a General Purpose, Bidirectional Steering Interface with Ascent. 841-846 - Ebad Taheri, Pedro Bruel, Pavana Prakash, Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Rolando P. Hong Enriquez, Torsten Wilde, Leo Popokh, Dejan S. Milojicic, Cullen E. Bash:
DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection. 847-852 - Yiqing Zhu, Osman Seckin Simsek, Jean M. Favre, Rubén M. Cabezón, Florina M. Ciorba:
Scalable In-Situ Visualization for Extreme-Scale SPH Simulations. 853-858
IXPUG 2024: Workshop on Communication, I/O, and Storage at Scale on Next-Generation Platforms: Scalable Infrastructures
- Mariana Miranda, Yusuke Tanimura, Jason Haga, Amit Ruhela, Stephen Lien Harrell, John Cazes, Ricardo Macedo, José Pereira, João Paulo:
Can Current SDS Controllers Scale To Modern HPC Infrastructures? 861-868 - Lorenzo Pichetti, Daniele De Sensi, Karthee Sivalingam, Stepan Nassyr, Daniele Cesarini, Matteo Turisini, Dirk Pleiter, Aldo Artigiani, Flavio Vella:
Benchmarking Ethernet Interconnect for HPC/AI workloads. 869-875 - Victor Eijkhout, Yojan Chitkara, Daksh Chaplot:
Performance analysis of a stencil code using modern C++. 876-885 - Raphaël Frantz, Jerónimo Sánchez García, Marcin Copik, Idelfonso Tafur Monroy, Juan José Vegas Olmos, Gil Bloch, Salvatore Di Girolamo:
Protocol Buffer Deserialization DPU Offloading in the RPC Datapath. 886-895 - Wubiao Xu, Xin Huang, Shiman Meng, Weiping Zhang, Luanzheng Guo, Kento Sato:
An Efficient Checkpointing System for Large Machine Learning Model Training. 896-900 - Dhani Ruhela, Madhavan Prasanna, Aaditya Saxena:
Predicting Protein Folding on Intel's Data Center GPU Max Series Architecture (PVC). 901-908 - Sai P. Chenna, Michael Steyer, Nalini Kumar, Maria Garzaran, Philippe Thierry:
Modeling and Simulation of Collective Algorithms on HPC Network Topologies using Structural Simulation Toolkit. 909-916
LLVM-HPC 2024: The Tenth Annual Workshop on the LLVM Compiler Infrastructure in HPC
- Smeet Chheda, Gaurav Verma, Shilei Tian, Barbara M. Chapman, Johannes Doerfert:
Evaluating Tuning Opportunities of the LLVM/OpenMP Runtime. 919-929 - David Kacs, Joseph Lee, Justs Zarins, Nick Brown:
Pragma driven shared memory parallelism in Zig by supporting OpenMP loop directives. 930-938 - Nick Brown:
Fully integrating the Flang Fortran compiler with standard MLIR. 939-949 - Dan Bonachea, Katherine Rasmussen, Brad Richardson, Damian W. I. Rouson:
Parallel Runtime Interface for Fortran (PRIF): A Multi-Image Solution for LLVM Flang. 950-960 - Anthony M. Cabrera, David E. Bernholdt:
A Flang Plugin for Fortran Feature Characterization. 961-967
MEMO 2024: International Workshop on Memory System, Management and Optimization
- Mohamed Assem Ibrahim, Mahzabeen Islam, Shaizeen Aga:
PIMnast: Balanced Data Placement for GEMV Acceleration with Processing-In-Memory. 970-981 - Ellis Giles, Peter J. Varman:
ACID Support for Compute eXpress Link Memory Transactions. 982-995 - Samuel Miksits, Ruimin Shi, Maya B. Gokhale, Jacob Wahlgren, Gabin Schieffer, Ivy Peng:
Multi-level Memory-Centric Profiling on ARM Processors with ARM SPE. 996-1005 - Zheming Jin:
Sum Reduction with OpenMP Offload on NVIDIA Grace-Hopper System. 1006-1013 - Yuqing Wang, Swann Perarnau, Andrew A. Chien:
UpDown: Combining Scalable Address Translation with Locality Control. 1014-1024 - Giordan Escalona, Dylan McKellips, Chen Ding:
Symmetric Locality: Definition and Initial Results. 1025-1034
MLG-HPCE 2024: International Workshop on Maching Learning with Graphs in High Performance Computing Environments
- Dhroov Pandey, Tong Shu:
AM-DGCNN: Leveraging Graph Attention Networks and Edge Attributes for Link Classification in Knowledge Graphs. 1037-1045 - Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Pei Zhang, Khaled Z. Ibrahim:
MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training. 1046-1057 - Shivam Barwey, Riccardo Balin, Bethany Lusch, Saumil Patel, Ramesh Balakrishnan, Pinaki Pal, Romit Maulik, Venkatram Vishwanath:
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. 1058-1070 - Beau Johnston, Thibault de Boissiere, Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Aaron R. Young, Seyong Lee, Jeffrey S. Vetter:
IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems. 1071-1080 - Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-Mei Hwu, Deming Chen, Dejan S. Milojicic:
Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. 1081-1089
P3HPC 2024: International Workshop on Performance, Portability and Productivity in HPC
- LeAnn M. Lindsey, Nan Ding, Jack Deslippe, Muaaz Awan:
Performance Modeling and Analysis of a de Bruijn Graph Based Local Assembly Kernel on Multiple Vendor GPUs. 1092-1105 - Amanda S. Dufek, Steven A. Gottlieb, Muaaz Gul Awan, Douglas Adriano Augusto, Jack Deslippe, Brandon Cook:
Optimizing MILC-Dslash Performance on NVIDIA A100 GPU: Parallel Strategies using SYCL. 1106-1116 - Yuuichi Asahi, Baptiste Legouix, Emily Bourne, Thomas Padioleau, Julien Bigot, Virginie Grandgirard, Kevin Obrejan:
Development of performance portable spline solver for exa-scale plasma turbulence simulation. 1117-1128 - Javid Baydamirli, Tal Ben-Nun, Didem Unat:
Autonomous Execution for Multi-GPU Systems: Compiler Support. 1129-1140 - Oscar Antepara, Samuel Williams, Max Carlson, Jerry Watkins:
Performance Portable Optimizations of an Ice-sheet Modeling Code on GPU-supercomputers. 1141-1151 - Giulio Malenza, Valentina Cesare, Marco Edoardo Santimaria, Robert Birke, Alberto Vecchiato, Ugo Becciani, Marco Aldinucci:
Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study. 1152-1163 - Chelsea Maria John, Stepan Nassyr, Carolin Penke, Andreas Herten:
Performance and Power: Systematic Evaluation of AI Workloads on Accelerators with CARAML. 1164-1176 - Oscar Antepara, Samuel Williams, Hans Johansen, Mary W. Hall:
High-Performance, Scalable Geometric Multigrid via Fine-Grain Data Blocking for GPUs. 1177-1191 - Wei-Chen Lin, Tom Deakin, Simon McIntosh-Smith:
A Metric for HPC Programming Model Productivity. 1192-1205 - Olga Pearce, Jason Burmark, Rich Hornung, Befikir Bogale, Ian Lumsden, Michael McKinsey, Dewi Yokelson, David Böhme, Stephanie Brink, Michela Taufer, Tom Scogland:
RAJA Performance Suite: Performance Portability Analysis with Caliper and Thicket. 1206-1218
PAW-ATM 2024: Parallel Applications Workshop - Alternatives to MPI+X
- Torben Kalkhof, Andreas Koch:
Speeding-Up LULESH on HPX: Useful Tricks and Lessons Learned using a Many-Task-Based Approach. 1223-1235 - Ryan D. Friese, Roberto Gioiosa, Joseph Cottam, Erdal Mutlu, Gregory Roek, Polykarpos Thomadakis, Mark Raugas:
Lamellar: A Rust-based Asynchronous Tasking and PGAS Runtime for High Performance Computing. 1236-1251 - Fernando Vázquez-Novoa, Daniele Lezzi, Francesc Lordan, Fatemeh Baghdadi, Davide Cirillo:
Applying a Task-Based Approach to Distributed Machine Learning Workflows. 1252-1261 - Yuxin Chen, Aydin Buluç, Katherine A. Yelick, John D. Owens:
Accelerating Multi-GPU Embedding Retrieval with PGAS-Style Communication for Deep Learning Recommendation Systems. 1262-1273 - Kyle Klenk, Mohammad Mahdi Moayeri, Junwei Guo, Martyn P. Clark, Raymond J. Spiteri:
Mitigating synchronization bottlenecks in high-performance actor-model-based software. 1274-1287 - Alex Brooks, Philip Marshall, David Ozog, Md. Wasi-ur-Rahman, Lawrence Stewart, Rithwik Tom:
Intel® SHMEM: GPU-initiated OpenSHMEM using SYCL. 1288-1301
PDSW 2024: 9th International Parallel Data Systems Workshop
- Robert Latham, Robert B. Ross, Philip H. Carns, Shane Snyder, Kevin Harms, Kaushik Velusamy, Paul K. Coffman, Gordon McPheeters:
Initial Experiences with DAOS Object Storage on Aurora. 1304-1310 - Théo Jolivel, François Tessier, Julien Monniot, Guillaume Pallez:
Mosaic: Detection and Categorization of I/O Patterns in HPC Applications. 1311-1319 - Noah Lewis, Kaushik Velusamy, Kevin Harms, Huihuo Zheng:
Copper: Cooperative Caching Layer for Scalable Data Loading in Exascale Supercomputers. 1320-1329 - Chris Egersdoerfer, Md. Hasanur Rashid, Dong Dai, Bo Fang, Nathan R. Tallent:
Understanding and Predicting Cross-Application I/O Interference in HPC Storage Systems. 1330-1339 - Nicolau Manubens, Johann Lombardi, Simon D. Smart, Emanuele Danovaro, Tiago Quintino, Dean Hildebrand, Adrian Jackson:
Exploring DAOS Interfaces and Performance. 1340-1348 - Seoyeong Lee, Awais Khan, Yoochan Kim, Junghwan Park, Soon Hwang, Jae-Kook Lee, Taeyoung Hong, Christopher Zimmer, Youngjae Kim:
Fault-Tolerant Deep Learning Cache with Hash Ring for Load Balancing in HPC Systems. 1349-1357
PMBS 2024: 15th IEEE International Workshop on Performance Modeling, Benchmarking, and Simulation of High Performance Computer Systems
- Krishna Teja Chitty-Venkata, Siddhisanket Raskar, Bharat Kale, Farah Ferdaus, Aditya Tanikanti, Ken Raffenetti, Valerie Taylor, Murali Emani, Venkatram Vishwanath:
LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators. 1362-1379 - Shashank Subramanian, Ermal Rrapaj, Peter Harrington, Smeet Chheda, Steven Farrell, Brian Austin, Samuel Williams, Nicholas J. Wright, Wahid Bhimji:
Comprehensive Performance Modeling and System Design Insights for Foundation Models. 1380-1397 - Brian Austin, Dhruva Kulkarni, Brandon Cook, Samuel Williams, Nicholas J. Wright:
System-Wide Roofline Profiling -a Case Study on NERSC's Perlmutter Supercomputer. 1398-1404 - Jan Laukemann, Georg Hager, Gerhard Wellein:
Microarchitectural comparison and in-core modeling of state-of-the-art CPUs: Grace, Sapphire Rapids, and Genoa. 1405-1412 - Balázs Drávai, István Z. Reguly:
Benchmarking the Evolution of Performance and Energy Efficiency Across Recent Generations of Intel Xeon Processors. 1413-1419 - Carlo Bertolli, Thorsten Blass, Lynd Stringer, Nicole Aschenbrenner, Jan-Patrick Lehr, Doru Bercea, Dhruva R. Chakrabarti, Lawrence Meadows, Ron Lieberman:
Performance Analysis of Runtime Handling of Zero-Copy for OpenMP Programs on MI300A APUs. 1420-1429 - Thomas Applencourt, Aditya Sadawarte, Servesh Muralidharan, Colleen Bertoni, JaeHyuk Kwack, Ye Luo, Esteban Rangel, John R. Tramm, Yasaman Ghadar, Arjen Tamerus, Chris Edsall, Tom Deakin:
Ponte Vecchio Across the Atlantic: Single-Node Benchmarking of Two Intel GPU Systems. 1430-1442 - Stefan Remke, Alexander Breuer:
Hello SME! Generating Fast Matrix Multiplication Kernels Using the Scalable Matrix Extension. 1443-1454 - Joseph Moore, Tom Deakin, Simon McIntosh-Smith:
AI-Assisted Design-Space Analysis of High-Performance Arm Processors. 1455-1467 - Nariman Piroozan, S. John Pennycook, Taufeq Mohammed Razakh, Peter Caday, Nalini Kumar, Aiichiro Nakano:
Impact of Varying BLAS Precision on DCMESH. 1468-1480 - Finn Wilkinson, Alex Cockrean, Wei-Chen Lin, Simon McIntosh-Smith, Tom Deakin:
Assessing the GPU Offload Threshold of GEMM and GEMV Kernels on Modern Heterogeneous HPC Systems. 1481-1495 - Zhengji Zhao, Brian Austin, Ermal Rrapaj, Nicholas J. Wright:
Understanding VASP Power Profiles on NVIDIA A100 GPUs. 1496-1505 - Alexander V. Goponenko, Benjamin A. Allan, Jim M. Brandt, Damian Dechev:
Workload-Adaptive Scheduling for Efficient Use of Parallel File Systems in High-Performance Computing Clusters. 1506-1516
ProTools 2024: Workshop on Programming and Performance Visualisation Tools
- Gregor Corbin, Nour Daoud, Bernd Mohr, Gustavo de Morais, Felix Wolf:
Are Noise-Resilient Logical Timers Useful for Performance Analysis? 1519-1530 - Fatih Tasyaran, Osman Yasal, José A. Morgado, Aleksandar Ilic, Didem Unat, Kamer Kaya:
P-MoVE: Performance Monitoring and Visualization with Encoded Knowledge. 1531-1542 - William R. Williams, Maximilian Knespel, Frank Winkler, Bert Wesarg:
Analyzing HPC Utilization with PIKA and Vampir. 1543-1550 - Willow E. Cunningham, Vincent M. Weaver:
Performance Measurement on Heterogeneous Processors with PAPI. 1551-1561 - Aravind Sankaran, Ilya Zhukov, Wolfgang Frings, Paolo Bientinesi:
Inspection of I/O Operations from System Call Traces using Directly-Follows-Graph. 1562-1575 - Shilpika, Bethany Lusch, Venkatram Vishwanath, Michael E. Papka:
An Incremental Multi-Level, Multi-Scale Approach to Assessment of Multifidelity HPC Systems. 1576-1587 - Sebastian Kreutzer, Peter Arzt, Jonas Rickert, Jan-Patrick Lehr, Christian Iwainsky, Christian H. Bischof:
Overhead-Guided Instrumentation Refinement. 1588-1598 - Jiawei Yang, Shubhendra Pal Singhal, Jun Shirako, Akihiro Hayashi, Vivek Sarkar:
ActorProf: A Framework for Profiling and Visualizing Fine-grained Asynchronous Bulk Synchronous Parallel Execution. 1599-1610
RESDIS 2024: 4th International Workshop on RESource DISaggregation in High-Performance Computing
- Curtis Shorts, Ryan E. Grant:
Examining the Viability of Row-Scale Disaggregation for Production Applications. 1613-1621 - Suyeon Lee, Vishal Rao, Ada Gavrilovska:
Towards Disaggregated NDP Architectures for Large-scale Graph Analytics. 1622-1629 - Alex Weaver, Krishna Kavi, Dejan S. Milojicic, Rolando Pablo Hong Enriquez, Ninad Hogade, Alok Mishra, Gayatri Mehta:
Granularity- and Interference-Aware GPU Sharing with MPS. 1630-1637 - Jonas Markussen, Lars Bjørlykke Kristiansen, Håkon Kvale Stensland, Pål Halvorsen:
Multi-Host Sharing of a Single-Function NVMe Device in a PCIe Cluster. 1638-1645 - Ercüment Kaya, Jorge Echavarria, Muhammad Nufail Farooqi, Aleksandra Swierkowska, Patrick Hopf, Burak Mete, Lukas Burgholzer, Robert Wille, Laura Brandon Schulz, Martin Schulz:
A Software Platform to Support Disaggregated Quantum Accelerators. 1646-1653
RISCV-HPC 2024: International Workshop on RISC-V for HPC
- Patrick Diehl, Panagiotis Syskakis, Gregor Daiß, Steven R. Brandt, Alireza Kheirkhahan, Srinivas Yadav Singanaboina, Dominic Marcello, Chris Taylor, John Leidel, Hartmut Kaiser:
Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophysics Application with HPX and Kokkos. 1656-1665 - Chan-Yu Mou, Chao-Chieh Hsiao, Jerry Chou:
Top-Down Microarchitecture Analysis Approximation Based on Performance Counter Architecture for SiFive RISC-V Processors. 1666-1675 - Jirí Jaros, Michal Majer, Jakub Horky, Jan Vavra:
Web-Based Simulator of Superscalar RISC-V Processors. 1676-1684 - Surendra Billa, Arif Badar, Rushikesh Jadhav, Yogeshwar Sonawane, Sanjay Wandhekar:
Development of Fedora Linux Distribution for RISC-V (RV64G) Architecture. 1685-1689 - Nick Brown, Ryan Barton:
Accelerating stencils on the Tenstorrent Grayskull RISC-V accelerator. 1690-1700
ScalAH 2024: 15th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous Systems
- Yuki Uchino, Toshiyuki Imamura:
High-Performance Eigensolver Combining EigenExa and Iterative Refinement. 1703-1712 - Justyna Zawalska, Minh Chung, Katarzyna Rycerz, Laura Brandon Schulz, Martin Schulz, Dieter Kranzlmüller:
Leveraging Hybrid Classical-Quantum Methods for Efficient Load Rebalancing in HPC. 1713-1722 - Het Mankad, Mohammad Alaul Haque Monil, Sanil Rao, Phillip Colella, Brian van Straalen, Franz Franchetti, Jeffrey S. Vetter:
A Performance-Portable MultiGPU Implementation of 3D Euler Equations using ProtoX and IRIS. 1723-1731 - Kazuya Yamazaki:
Accelerating an overhead-sensitive atmospheric model on GPUs using asynchronous execution and kernel fusion. 1732-1739 - Maxence Vandromme, Nicolas Hochart, Serge G. Petiton, Jérôme Gurhem, Miwako Tsuji, Mitsuhisa Sato:
Sequences of Distributed Matrix-Vector Product for Very Large and Very Sparse Irregular Matrices. 1740-1747 - Takuto Momominami, Naoya Niwa, Masahito Kumagai, Kazuhiko Komatsu, Hiroaki Kobayashi, Hiroe Iwasaki:
An Ising-based Decision Method for Intra Prediction Mode in Video Coding. 1748-1754
S-HPC 2024: Workshop on Security in High Performance Computing
- Sadaf R. Alam, Christopher J. Woods, Matt Williams, Dave Moore, Isaac Prior, Ethan Williams, Anna Price, James Womack, Simon McIntosh-Smith, Fan Yang-Turner, Matt Pryor, Ilja Livenson:
Federated Single Sign-On and Zero Trust Co-design for AI and HPC Digital Research Infrastructures. 1756-1764 - Andrew Prout, Albert Reuther, Michael Houle, Michael Jones, Peter Michaleas, LaToya Anderson, William Arcand, Bill Bergeron, David Bestor, Alex Bonn, Daniel Burrill, Chansup Byun, Vijay Gadepally, Matthew Hubbell, Hayden Jananthan, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Antonio Rosa, Charles Yee, Jeremy Kepner:
HPC with Enhanced User Separation. 1765-1772 - Thomas Jakobsche, Florina M. Ciorba:
Using Malware Detection Techniques for HPC Application Classification. 1773-1780 - Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Security Testbed for Preempting Attacks against Supercomputing Infrastructure. 1781-1788
SSW 2024: Sustainable Supercomputing Workshop
- Woong Shin, James B. White, Wael R. Elwasif, Rafael Ferreira da Silva, Christopher Zimmer, Bronson Messer, Reuben D. Budiardja, Antigoni Georgiadou, Verónica Melesse Vergara, Jack Lange, Matthias Maiterth, Tim Osborne, Leah Huk, John K. Holmen, Nick Hagerty, Ahmad Maroof Karimi, Thomas J. Naughton, Ryan Adamson, Ryan Prout, Feiyi Wang, Scott Atchley, Kevin G. Thach, Thomas Beck, Sarp Oral:
Towards Sustainable Post-Exascale Leadership Computing. 1790-1794 - Woong Shin, Tim Osborne, Ahmad Maroof Karimi, Rachel Palumbo, Alex May, Corwin Lester, Jesse Hines, Naw Safrin Sattar, Leah Huk, Scott Simmerman, Wesley Brewer, Jeffrey Miller, Ryan Adamson, Olga A. Kuchar, Ryan Prout, Feiyi Wang, Scott Atchley, Sarp Oral:
Navigating Exascale Operational Data Analytics: From Inundation to Insight. 1795-1804 - Eleanor Broadway, Joseph K. L. Lee, Michèle Weiland:
Sustainable AI: Experiences, Challenges & Recommendations. 1805-1814 - Marcel Breyer, Alexander Van Craen, Peter Domanski, Dirk Pflüger:
hws: A Tool for Monitoring Hardware Metrics Across Diverse Vendors: A Case Study on Hyperparameter Optimization Algorithms. 1815-1825 - Osman Seckin Simsek, Jean-Guillaume Piccinali, Florina M. Ciorba:
Increasing Energy Efficiency of Astrophysics Simulations Through GPU Frequency Scaling. 1826-1834 - Ahmad Maroof Karimi, Matthias Maiterth, Woong Shin, Naw Safrin Sattar, Hao Lu, Feiyi Wang:
Exploring the Frontiers of Energy Efficiency using Power Management at System Scale. 1835-1844 - Naman Kulshreshtha, Tapasya Patki, Jim Garlick, Mark Grondona, Rong Ge:
Vendor-neutral and Production-grade Job Power Management in High Performance Computing. 1845-1855 - Fatih Acun, Zhengji Zhao, Brian Austin, Ayse K. Coskun, Nicholas J. Wright:
Analysis of Power Consumption and GPU Power Capping for MILC. 1856-1861 - Mahendra Paipuri:
CEEMS: A Resource Manager Agnostic Energy and Emissions Monitoring Stack. 1862-1866 - Subrahmanya Vinayak Joshi, Sergey Serebryakov, Deepak Nanjundaiah, Tejas Hegde:
AIOps and Sustainability: Transforming Data Centers for a Greener Future. 1867-1871 - Theo Gregersen, Pratyush Patel, Esha Choukse:
Input-Dependent Power Usage in GPUs. 1872-1877 - Christian Terboven, Radita Liem, José Gracia, Kingshuk Haldar, J. F. Engels, Pay Giesselmann, David Brayford, Torsten Wilde, Christian Simmendinger, Marcel Marquardt, Jan Eitzinger, Thomas Gruber:
EE-HPC a Framework for Energy Efficient HPC System Management. 1878-1882
WACCPD 2024: 11th Workshop on Accelerator Programming and Directives
- Zachariah Sollenberger, Jay Patel, Christian Munley, Aaron Jarmusch, Sunita Chandrasekaran:
LLM4VV: Exploring LLM-as-a-Judge for Validation and Verification Testsuites. 1885-1893 - Rémy Neveu, Rodrigo Ceccato, Gustavo Leite, Guido Araujo, Jose Manuel Monsalve Diaz, Hervé Yviquel:
Towards an Optimized Heterogeneous Distributed Task Scheduler in OpenMP Cluster. 1894-1903 - Ronald M. Caplan, Miko M. Stulajter, Jon A. Linker, Jeff Larkin, Henry A. Gabb, Shiquan Su, Ivan Rodriguez, Zachary S. Tschirhart, Nicholas Malaya:
Portability of Fortran's 'do concurrent' on GPUs. 1904-1913 - Engin Kayraklioglu, Andy Stone:
Productive, Vendor-Neutral GPU Programming Using Chapel. 1914-1922 - Benjamin Wilfong, Anand Radhakrishnan, Henry Le Berre, Steve Abbott, Reuben D. Budiardja, Spencer H. Bryngelson:
OpenACC offloading of the MFC compressible multiphase flow solver on AMD and NVIDIA GPUs. 1923-1933 - Chayanon Namo Wichitrnithed, Woo-Sun Yang, Yun Helen He, Brad Richardson, Koichi Sakaguchi, Manuel Arenaz, William I. Gustafson Jr., Jacob Shpund, Ulises Costi Blanco, Álvaro Goldar Dieste:
Optimizing the Weather Research and Forecasting Model with OpenMP Offload and Codee. 1934-1942 - Tosaporn Sattasathuchana, Peng Xu, Dossay Oryspayev, Colleen Bertoni, Luke B. Roskop, Mark S. Gordon:
Performance Portability of Electron Repulsion Integrals and Their Related Methods across Peta to Exascale Architectures. 1943-1954 - Pedro Valero-Lara, William F. Godoy, Het Mankad, Keita Teranishi, Jeffrey S. Vetter, Johannes P. Blaschke, Michel Schanen:
JACC: Leveraging HPC Meta-Programming and Performance Portability with the Just-in-Time and LLVM-based Julia Language. 1955-1966 - Tsuyoshi Ichimura, Kohei Fujita, Muneo Hori, Lalith Maddegedara, Jack C. Wells, Alan Gray, Ian Karlin, John Linford:
Heterogeneous computing in a strongly-connected CPU-GPU environment: fast multiple time-evolution equation-based modeling accelerated using data-driven approach. 1967-1978 - Kazuaki Matsumura, Simon Garcia De Gonzalo, Antonio J. Peña:
ACC Saturator: Automatic Kernel Optimization for Directive-Based GPU Code. 1979-1990
WIUHPC 2024: Fourth Combined Workshop on Interactive and Urgent High-Performance Computing
- Min Ragan-Kelley, Matthew L. Henderson, Fernando Pérez, Rollin C. Thomas, Shreyas Cholia, Lavanya Ramakrishnan:
Enabling Scientific Collaboration with JupyterHub. 1993-2002 - Elias Werner, Anton Rygin, Andreas Gocht-Zech, Sebastian Döbel, Matthias Lieber:
JUmPER: Performance Data Monitoring, Instrumentation and Visualization for Jupyter Notebooks. 2003-2011 - Jonas Lindemann, Anders Follin:
Interactive HPC and the LUNARC Desktop Environment. 2012-2019
WORKS 2024: 19th Workshop on Workflows in Support of Large-Scale Science
- Gabriele Padovani, Valentine Anantharaj, Ludovica Sacco, Takuya Kurihana, M. Bunino, K. Tsolaki, M. Girone, F. Antonio, Carolina Sopranzetti, M. Fronza, Sandro Fiore:
A software ecosystem for multi-level provenance management in large-scale scientific workflows for AI applications. 2024-2031 - Amal Gueroudji, Chase Phelps, Tanzima Z. Islam, Philip H. Carns, Shane Snyder, Matthieu Dorier, Robert B. Ross, Line C. Pouchard:
Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms. 2032-2039 - Nishchay Karle, Ben Clifford, Yadu N. Babuji, Ryan Chard, Daniel S. Katz, Kyle Chard:
Parsl+CWL: Towards Combining the Python and CWL Ecosystems. 2040-2047 - Duc Anh Vu, Timo Kehrer:
Towards Generating Contracts for Scientific Data Analysis Workflows. 2048-2055 - Ketan Maheshwari, William Arndt, Ahmad Maroof Karimi, Junqi Yin, Frédéric Suter, Seth R. Johnson, Rafael Ferreira da Silva:
Enabling Low-Overhead HT-HPC Workflows at Extreme Scale using GNU Parallel. 2056-2063 - Jorge Ejarque, Marisol Monterrubio Velasco, Cedric Bhihe, Marta Pienkowska, Josep de la Puente, Rosa M. Badia:
Managing Workflow Malleability in Urgent Computing for Earthquake Alerts. 2064-2071 - Michael J. Brim, Lance Drane, Marshall T. McDonnell, Christian Engelmann, Addi Malviya-Thakur:
A Microservices Architecture Toolkit for Interconnected Science Ecosystems. 2072-2079 - Md Saiful Islam, Douglas Thain:
Shepherd: Seamless Integration of Service Workflows into Task-Based Workflows through Log Monitoring. 2080-2087 - Daniel Rotchford, Samuel Evans, Rosa Filgueira:
Laminar 2.0: Serverless Stream Processing with Enhanced Code Search and Recommendations. 2088-2095 - Vijay Thurimella, Philipp Raith, Rolando P. Hong Enriquez, Anderson Andrei Da Silva, Gourav Rattihalli, Ada Gavrilovska, Dejan S. Milojicic:
Serverless Computing for Dynamic HPC Workflows. 2096-2103
XLOOP 2024: 6th Annual Workshop on Extreme-Scale Experiment-in-the-Loop Computing
- Steven E. Hahn, Philip W. Fackler, William F. Godoy, Ketan Maheshwari, Zachary Morgan, Andrei T. Savici, Christina M. Hoffmann, Pedro Valero-Lara, Jeffrey S. Vetter, Rafael Ferreira da Silva:
Integrating ORNL's HPC and Neutron Facilities with a Performance-Portable CPU/GPU Ecosystem. 2107-2117 - Sterling Paul Smith, Zichuan Anthony Xing, Torrin Bechtel Amara, Severin Sebastian Denk, Earl William DeShazer, Orso Meneghini, Tom Neiser, Laurie Stephey, Oscar Antepara, Christopher Mitchell Clark, Eli Dart, Pengfei Ding, Sean Flanagan, Raffi Nazikian, David Schissel, Christine Simpson, Nicholas Scoville Tyler, Thomas D. Uram, Samuel Webb Williams:
Expediting Higher Fidelity Plasma State Reconstructions for the DIII-D National Fusion Facility Using Leadership Class Computing Resources. 2118-2126 - Takuya Kurihana, Tyler J. Skluzacek, Rafael Ferreira da Silva, Valentine Anantharaj:
Scalable Multi-Facility Workflows for Artificial Intelligence Applications in Climate Research. 2127-2134 - Albert Vong, Steven F. Henke, Oliver Hoidn, Hannah Parraga, Tao Zhou, Apurva Mehta, Nicholas Schwarz:
Portable Cross-Facility Workflows for X-ray Ptychography. 2135-2143 - John Winnicki, Frédéric Poitevin, Haoyuan Li, Eric Darve:
Matrix Sketching for Online Analysis of LCLS Imaging Datasets. 2144-2153 - Gayathri Saranathan, Ayana Ghosh, Martin Foltin, Ann Mary Justine Koomthanam, Aalap Tripathy, Maxim A. Ziatdinov, Suparna Bhattacharya, Kevin Roccapriore, Paolo Faraboschi:
Active Learning Surrogates for Integrating Electron Microscopy and Computational Insights from Simulations in Autonomous Experiments. 2154-2161 - Hiran Wijesinghe, Andi M. Barbour, Lutz Wiegart, Evan Carlin, Joshua Einstein-Curtis, Paul Moeller, Robert Nagler, Raven O'Rourke, Nathan Cook, Maksim S. Rakitin:
Bluesky and Raydata: An Integrated Platform for Adaptive Experiment Orchestration. 2162-2167 - David Scheunert, Jonas Gehrunger, Christian Hochberger, Dieter Lens, Harald Klingbeil:
Cavity in the Loop. 2168-2175
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