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ORCID55th ICPP Workshops 2025: San Diego, CA, USA
- Workshop Proceedings of the 54th International Conference on Parallel Processing, ICPP Workshops 2025, San Diego, CA, USA, September 8-11, 2025. ACM 2025, ISBN 979-8-4007-2109-0
Workshop AI4DEV
- Bowen Cui
, Tejas Ramesh, Oscar R. Hernandez, Keren Zhou:
Comprehensive Evaluation of LLMs in HPC Code Performance Optimization. 1-8 - Barry Smith, Junchao Zhang, Hong Zhang, Lois Curfman McInnes, Murat Keçeli, Archit Vasan, Satish Balay, Toby Isaac, Le Chen, Venkatram Vishwanath:
AI Assistants to Enhance and Exploit the PETSc Knowledge Base. 9-17
Workshop DRAI
- Wesley Brewer, Patrick M. Widener, Valentine Anantharaj, Feiyi Wang, Tom Beck, Arjun Shankar, Sarp Oral:
Data Readiness for Scientific AI at Scale. 18-24 - Shubhabrata Mukherjee, Jack Lang, Obeen Kwon, Iryna Zenyuk, Valerie Brogden, Adam Weber, Daniela Ushizima:
Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data. 25-32
Workshop EMS
- Meng-Shiun Yu, Feng-Yi Zhan, Ming-Zhang Huang, Tai-Liang Chen, Jenq-Kuen Lee:
Hardware-aware Graph Partition for Mobile Inference Acceleration. 33-43 - Chiahui Su, Hsuan-Yun Hung, Liang-Ni Wang, I-An Chen, Jenq-Kuen Lee:
Support SIMD Optimization with Post Quantum Cryptography Validation on Move Language. 44-53 - Mu-Eng Huang, Chung-Yi Chen, Yi-Ping You, Wuu Yang:
CompressRA+: Enhanced Register Allocation for Compressed ISAs. 54-63 - Min-Hsiu Hsu, Shih-wei Liao, Chi-Hung Wei, Chi-Bang Kuan:
Enhancing Superword-Level Parallelism on RISC-V through Custom Instruction Extensions. 64-70 - Chi-Hung Wei, Shih-wei Liao, Chih-Cheng Chen, Chi-Bang Kuan:
Enhancing SLP Vectorization through Hybrid Slice Selection. 71-79 - Kang Wei Kuo, Peng-Sheng Chen:
Optimizing Large Language Model Deployment with TVM: Overcoming Dynamic Shape and Scheduling Challenges. 80-89 - Shang-Chun Yang, Hua-Yi Ho, Jia-Chi Yuan, Yuan-Shin Hwang:
SimpleScalar RV64GC: Cycle-Accurate Simulator for RISC-V RV64GC Processor with Macro-Op Fusion. 90-94
Workshop GRAND
- Lokesh Venkatachalam, Kishore Kothapalli, Abhijit Sahu, G. Ramakrishna, Dip Sankar Banerjee, Balavarun Pedapudi, Aditya Harikrish, Aditya S. P. V. M. Andaluri:
PHEM: A Computational Model for Designing Parallel Algorithms for Very Large Graphs. 95-103
Workshop HARVEST
- Nathan Balcarcel, Paola Pesantez-Cabrera, Kristen Goebel, Markus Keller, Lav R. Khot, Alan Fern, Ananth Kalyanaraman:
PhenoTracker: A machine learning model to track grape phenology. 104-111 - Anas M. R. Alsobeh, Amer AbuGhazaleh, Namariq Dhahir, Malek Rababa:
XAIPath: Temporal-Environmental Explainable AI Framework for Co-Contaminated Food Pathogen Detection in Microscopic Imaging. 112-119 - Sungchan Oh, Libo Zhang, Yang Yang, Mitch Tuinstra:
An HPC Framework for Multi-Modal Plant Phenotyping Integrating Controlled Environment and Open Field Studies. 120-125 - Tian Chen, Quentin Anthony, Dhabaleswar K. Panda:
HARVEST Inference: Characterizing Digital Agriculture Workloads across Compute Continuum. 126-133 - Rugved Katole, Christopher Stewart:
Ortho-Fuse: Orthomosaic Generation for Sparse High-Resolution Crop Health Datasets Through Intermediate Optical Flow Estimation. 134-141
Workshop WISDOM
- Rafael Ferreira da Silva, Milad Abolhasani, Dionysios A. Antonopoulos, Laura Biven, Ryan N. Coffee, Ian T. Foster, Leslie Hamilton, Shantenu Jha, Theresa Mayer, Benjamin Mintz, Robert G. Moore, Salahudin Nimer, Noah Paulson, Woong Shin, Frédéric Suter, Mitra Taheri, Michela Taufer, Newell R. Washburn:
A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery. 142-150 - Anderson Borch, Ketan Maheshwari, Justin M. Wozniak, Rafael Ferreira da Silva:
An LLM-enabled Workflow for Understanding and Evolving HPC Scheduling Practices. 151-158 - Jonathan Ozik, Nicholson T. Collier, Arindam Fadikar, Justin M. Wozniak, Valérie Hayot-Sasson, Kyle Conroy, Kyle Chard, Jacqueline Wentz, Erin Acquesta, Jaideep Ray:
Automation and Collaboration in Complex Epidemiological Workflows with OSPREY. 159-166 - Gabriele Padovani, Valentine Anantharaj, Sandro Fiore:
Provenance Tracking in Large-Scale Machine Learning Systems. 167-174 - Kshitij Mehta, Eric Suchyta, Frédéric Suter, Ana Gainaru, Norbert Podhorszki, Scott Klasky:
Enabling Command-and-Control in Advanced In Situ Workflows. 175-182 - Meng Wang, Shiva Jahangiri, Ketan Maheshwari, Chen Li:
Bundled for Success: A WfBench-Driven Assessment of Texera. 183-190
Poster Extended Abstract
- William Fredie Godoy, Pedro Valero-Lara, Alexis Huante, Jose Gonzalez, Jhonny Gonzalez, Yuguo Kelly Tang, Claire Winogrodzki, Philip W. Fackler, Keita Teranishi, Jeffrey S. Vetter:
Filling Performance Portability and High-Productivity Gaps for Scientific Applications with Julia and JACC. 191-192 - Julien Tixier, Virginie Fresse, Dominique Houzet:
Analysis of Warm-Up Effects in GPU Memory Management. 193-194 - Ravi Shende, Tainã Coleman, Hena Ahmed, Ismael Pérez, Ilkay Altintas:
BanditWare Extension: A Contextual Bandit-based Framework for Hardware Prediction with Model Selection. 195-197 - Henri Casanova, Tainã Coleman, Rafael Ferreira da Silva, Frédéric Suter:
WfCommons: Datasets and Tools for Advancing Scientific Workflows. 198-199 - Ziqing Guo, Jan Balewski, Ziwen Pan:
Q-GEAR: Improving quantum simulation framework. 200-209 - Igor Sfiligoi, Emily A. Belli, Jeff Candy:
Minimizing CGYRO HPC Communication Costs in Ensembles with XGYRO by Sharing the Collisional Constant Tensor Structure. 210-212 - Atharva Gondhalekar, Paul Sathre, Nabayan Chaudhury, Wu-chun Feng:
Sparsity-aware Kernel Selection for Edge-Connected Jaccard Similarity in Graph Datasets. 213-215 - Terry R. Jones, Philip H. Carns:
STEP: Software Tools Ecosystem Project. 216-217 - Pedro Ramonetti, Ilkay Altintas, Melissa Floca, Kate Keahey, Marc Richardson:
FOUNT Courselets on the National Data Platform. 218-219 - Yash Vishe, Abhay Lal, Guruprasad Parasnis:
Hierarchical Vegetation Classification for Wildfire Risk Assessment using the National Data Platform. 220-221
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