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ORCIDHPEC 2025: Wakefield, MA, USA
- IEEE High Performance Extreme Computing Conference, HPEC 2025, Wakefield, MA, USA, September 15-19, 2025. IEEE 2025, ISBN 979-8-3315-7844-2
- Kerri Prinos, Aditi Mungale, Karen Gettings, Tair Akhmejanov, Devanshu Mehta:
Weighted Histogram Matching for Improved Automated Synthetic Aperture Radar (SAR)-optical Image Registration. 1-7 - Hasan Serdar Arikan, Rakibul Hassan, Shubhashish Kar, Doru-Thom Popovici, Shaikh Arifuzzaman:
GCN-Driven CUDA Parameter Optimization for Parallel Triangle Counting in Graphs. 1-7 - Chasen Milner, Michael Houle, Hayden Jananthan, Michael Jones, Jeremy Kepner, Peter Michaleas, Inna Voloshchuk, Alex Pentland:
Interactive Trillion Packet Anonymized Network Analysis with the GraphBLAS. 1-6 - Chou-Ying Hsieh, Po-Chieh Lin, Sy-Yen Kuo:
Accelerating Push-Relabel Algorithm on GPU via Two-Level Parallelism Paradigm and Efficient CSR Designs. 1-7 - Emmanuel Luján, Alan Edelman:
When Structure is Silent: Opportunities for Algorithmic Dispatch in Linear Algebra. 1-7 - Rodney S. Lafuente Mercado:
Adaptive Policy Synchronization for Scalable Reinforcement Learning. 1-6 - Pattarapon Klaykul, Wilaipom Lee, Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote:
Web-Based Intelligent Decision Support System for Real-Time Toll Plaza Management and AI-Driven Operational Optimization. 1-8 - Rabab Alomairy, Sameh Abdulah, Qinglei Cao, Marc G. Genton, David E. Keyes, Hatem Ltaief:
Sustainably Modeling a Sustainable Future Climate. 1-8 - Kenneth Lamar, Benjamin A. Allan, Matthew Scot Swan, James M. Brandt, Damian Dechev:
Predicting HPC Job Run time with Realistic Data Using Application Input Parameters. 1-9 - Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Jeremy Kepner:
Lincoln AI Computing Survey (LAICS) and Trends. 1-12 - Hayden Jananthan, Jeremy Kepner, Michael Jones, Vijay Gadepally, Michael Houle, Peter Michaleas, Chasen Milner, Alex Pentland:
GraphBLAS Mathematical Opportunities: Parallel Hypersparse, Matrix Based Graph Streaming, and Complex-Index Matrices. 1-11 - Lior Horesh, Vassilis Kalantzis, Barry M. Trager, Shashanka Ubaru:
A Framework For The Iterative Solution of Sparse Linear Systems on Hybrid Architectures Using Homomorphic Encryption. 1-8 - Vyacheslav Romanov:
Encoded time-series model training with U-Net running on Wafer Scale Engine. 1-5 - Gunduz Vehbi Demirci, Çagatay Dikici, Tim Atherton:
Accelerating Sparse Deep Learning via Multi-Layer Tensor Reordering and Partitioning. 1-8 - Akanksha Dwivedi
, Prashant Srivastav, Dip Sankar Banerjee:
SCoDa: Scalable Community Detection in Data Streams. 1-7 - Jiya Su, Alexander Fell, Andronicus Rajasukumar, David F. Gleich, Andrew A. Chien:
Scaling Triangle Counting and K-Truss on the UpDown Architecture. 1-7 - Matthew D. Merris, Tim Andersen:
Improving Statistical Characterization of Data Tensors with the Generalized Canonical Polyadic Tensor Decomposition. 1-7 - Jianyu Wang, Wenzi Tang, Chenglong Shi, Zhe Zhang, Dan Chen, Miaojiang Chen, Wenjing Xiao:
SANST: Sensing Anonymized Network via Sorted Triplets. 1-7 - Md Safayat Hossain, Jannatul Ferdous, Md Raihan Uddin, K. M. A. Hossain, M. I. Ahmed, M. A. Rahman, Asif Shahriyar Sushmit, Farig Sadeque, Swakkhar Shatabda, Abu Asaduzzaman:
BanglaDocAtlas: A Multi-Class Annotated Dataset for Complex Bangla Document Layout Analysis. 1-7 - Georgios Kollias, Vassilis Kalantzis:
Differentiable Graph Centrality. 1-7 - Larry Tang, Varun Kumar, Matthew Ngaw, Siddharth Singh, Devdutt Nadkarni, Lohith Tummala, Ken Mai, Franz Franchetti:
Towards an Algorithm-based Approach for Soft Error Tolerance using Interval Arithmetic. 1-7 - Pascal Costanza, Timothy G. Mattson, Raye Kimmerer, Benjamin Brock:
Julia GraphBLAS with Nonblocking Execution. 1-7 - Aaron C. Hoyt, Jonathan S. Bersson, Sean Garner, Chenxu Liu, Ang Li:
Implementation of Tensor Network Simulation TN-Sim under NWQ-Sim. 1-7 - Ashley Wang, Peter Chin:
Degree Matrix Comparison for Graph Alignment. 1-7 - Jun Mai, Qinggang Wang, Yu Huang, Pengcheng Yao, Long Zheng, Xiaofei Liao, Hai Jin:
Geans: A GPU-accelerated Framework for Efficient End-to-End Anonymized Network Sensing. 1-7 - Ashwajit Singh, Zhihan Xu, Viktor K. Prasanna:
NTT-SAA: Exploring NTT Acceleration with 2-D Systolic Array Architecture on FPGAs. 1-7 - Talha Coskun, Hiruna Vishwamith, Murat Isik, Ismail Can Dikmen:
Hardware-Accelerated Transformer Framework for Real-Time Battery SoH Estimation. 1-6 - Kourosh Rahnamai, Jacob Rollins, Luke Moisan, Ryan Kayfus:
Mitigation of Applied Load Using Machine Learning for Adaptive Motor Control. 1-5 - Atieh Barati Nia, Mohammad Dindoost, David A. Bader:
Evaluating Efficiency and Novelty of LLM-Generated Code for Graph Analysis. 1-7 - Md Mehrab Hossain Opi, K. M. Azharul Hasan:
AGCRS: An Adaptive Generalized Storage Scheme for Large Sparse Tensors. 1-6 - J. Parker Diamond, Andrea Lin, R. Nicholas Cunningham, Soamar Homsi, John Darby Mitchell, Aseemit Pandey, Emily Shen:
Optimizing Local Computation in Secure Matrix Multiplication for Outsourced Neural Networks. 1-7 - William Li, Lei Hamilton, Kaise Al-natour, Sanjeev Mohindra:
Evaluation of Habitat Robotics using Large Language Models. 1-8 - Mike H. M. Teodorescu, Cecilia Bolea, Horia-Nicolai L. Teodorescu:
Towards a Framework for Etymological Analysis of Literary and AI Works. 1-6 - David Bruce Cousins, Carlo Pascoe, Erik Kline:
Secure Virtual Network Embedding Through Fully Homomorphic Encryption. 1-7 - Nikolay Aristov, Elenna R. Dugundji:
Predicting Ports Congestion by Utilizing State Space Models. 1-7 - Zicang Xu, Lei Zou:
BUG: Balanced DFS-Based Subgraph Matching with a ReUse Strategy on GPUs. 1-7 - Hanjing Xu, Xiaoyuan Liu, Ankit Kulshrestha, Hayato Ushijima-Mwesigwa:
Partition-based Surface Code Compilation. 1-8 - Fernando Vera Buschmann, Horacio Rotstein, Vincent Oria:
neuro-inspired Enhancing Spiking Graph Convolutional Networks. 1-7 - Mike Soricelli, Yuchou Chang, Christopher Hixenbaugh:
Improving Uncertainty Based Dataset Pruning with Density Estimation for Noisy Edge Environments. 1-5 - Ziyan Li, Nikolay Aristov, Antoine Germain, Elenna R. Dugundji:
Multi-Stage Stochastic Programming for Heavy-Duty Electric Truck Routing Under Public Charging Congestion Uncertainty. 1-6 - Fuhuan Li, Zhihui Du, David A. Bader:
Designing Parallel Algorithms for Community Detection using Arachne. 1-7 - Soheli Farhana:
Physics-Informed Neural Networks for Low-Power Real-Time Edge Biosensing Applications. 1-6 - Abu Asaduzzaman, Nowshin Nawal:
Employing High-Performance PETSc Network Simulation for Business Profit Analysis. 1-7 - Atharva Gondhalekar, Paul Sathre, Wu-Chun Feng:
On the Adaptation of Mixed-Radix Fast Fourier Transform for Resource-Constrained Environments. 1-8 - Dogu Kocatepe, Isil Öz:
Analysis and Optimization of Spiking Neural Network Simulations on GPUs. 1-7 - Wali Mohammad Abdullah, Md. Morshedul Islam, Devraj Parmar, Happy Hasmukhbhai Patel, Sindhuja Prabhakaran, Baidya Saha:
RAILS: Retrieval-Augmented Intelligence for Learning Software Development. 1-6 - Palash Kohli, Rakshith Jayanth, Neelesh Gupta, Haoyang Fan, Viktor K. Prasanna:
Performance-Energy Characterization of ML Inference on Heterogeneous Edge AI Platforms. 1-7 - Mohammad Dindoost, Oliver Alvarado Rodriguez, Bartosz Bryg, Ioannis Koutis, David A. Bader:
HiPerMotif: Novel Parallel Subgraph Isomorphism in Large-Scale Property Graphs. 1-7 - Atharva Gondhalekar, Paul Sathre, Wu-chun Feng:
Characterization of Sparsity-aware Parallelization of Jaccard Similarity in Graph Datasets. 1-7 - Siddharth Samsi, Dan Campbell, Emanuel Scoullos, Oded Green:
Combining Performance and Productivity: Accelerating the Network Sensing Graph Challenge with GPUs and Commodity Data Science Software. 1-7 - Sophia Lockton, Jeremy Kepner, Michael Stonebraker, Hayden Jananthan, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Daniel Burrill, Chansup Byun, Timothy Davis, Vijay Gadepally, Michael Houle, Matthew Hubbell, Michael Jones, Piotr Luszczek, Peter Michaleas, Lauren Milechin, Chasen Milner, Guillermo Morales, Julie Mullen, Michel Pelletier, Alex Poliakov, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Alex Pentland:
DBOS Network Sensing: A Web Services Approach to Collaborative Awareness. 1-8 - Paolo Palazzari, Luigi Accardi, Antonio Mastrandrea, Pasquale Tommasino, Alessandro Trifiletti:
Fast FPGA-Based Implementation of the QP-Dyn Stream Cipher using High-Level Synthesis. 1-7 - Jack J. Dongarra, John A. Gunnels, Harun Bayraktar, Azzam Haidar, Dan Ernst:
Accelerating Supercomputing: AI-Hardware-Driven Innovation for Speed and Efficiency. 1-7 - Vijay Kumar, Jaime Benavides, Carlos Carrillo-Gallegos, Gil Speyer, Marianthi-Anna Kioumourtzoglou:
Scalable Bayesian Nonparametric Ensemble (BNE) for Spatio-temporal Air Pollution Predictions using High-Performance Computing. 1-7 - Deting Chen, Yu Huang, Yi Huang, Binbin Lin, Yi Zhang, Long Zheng, Xiaofei Liao, Hai Jin:
Prism: Practical In-Memory Acceleration for Subgraph Matching at Scale. 1-7 - Aniket P. Garade, Sushil Pratap Singh, Vishal Rayala, Deepika H. V, Haribabu P, S. A. Kumar, S. D. Sudarsan:
Performance Evaluation of LAPACK Using SVE Optimized BLAS Kernels. 1-7 - Shivam Sundriyal, Markus Büttner, Christoph Alt, Tobias Kenter, Vadym Aizinger:
Adaptive Spectral Block Floating Point for Discontinuous Galerkin Methods. 1-8 - Mai Pham, Vikrant Vaze, Peter Chin:
Strategic Cyber Defense via Reinforcement Learning-Guided Combinatorial Auctions. 1-7 - Ming Dun, Jie Zhou, Huawei Cao, Shuhan Song, Yiming Sun, Mingyu Yan, Xiaochun Ye:
Towards Efficient Sparse Deep Neural Network Inference via Multi-level Concurrency Orchestration. 1-7 - Hafsah Shahzad, Ahmed Sanaullah, Sanjay Arora, Ulrich Drepper, Martin C. Herbordt:
Towards -OmL: A Deep Learning Based Approach for Outperforming Compiler Defaults. 1-8 - Batuhan Hangün, Oguz Altun, Önder Eyecioglu:
A Hybrid Classical-Quantum Model for QSAR-Based Biodegradability Prediction. 1-6 - Shreyas Ekanathan, Oscar Smith, Christopher Rackauckas:
A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances. 1-9 - Jie Tong, Zhengxiong Li, Umit Yusuf Ogras, Tsung-Wei Huang:
A Scalable Code Generation Flow for Heterogeneous Parallel RTL Simulation using MLIR. 1-9 - Tomer Bitan, Tal Kadosh, Erel Kaplan, Shira Meiri, Le Chen, Peter Morales, Niranjan Hasabnis, Gal Oren:
UniPar: A Unified LLM-Based Framework for Parallel and Accelerated Code Translation in HPC. 1-9 - Kevin Power, Peter Harding, José López, Alex Carroll, Elenna R. Dugundji:
Enhancing Sentiment Classification of E-commerce Reviews for Actionable Insights using LLMs. 1-7 - Marc Solé Bonet, Jannis Wolf, Aridane Álvarez Suárez, Leonidas Kosmidis:
A Qualifiable GPU Sharing Approach for AI Workloads in Critical Systems. 1-7 - Daniel J. Burrill, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Chansup Byun, Michael Houle, Matthew Hubbell, Michael Jones, Piotr Luszczek, Peter Michaleas, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Vijay Gadepally:
Predicting LLM Inference Server Request Capacity. 1-6 - Christian Prothmann, Vijay Gadepally, Jeremy Kepner, Koley Borchard, Luca Carlone, Zachary Folcik, J. Daniel Griffith, Michael Houle, Jonathan P. How, Nathan Hughes, Ifueko Igbinedion, Hayden Jananthan, Tejas Jayashankar, Michael Jones, Sertac Karaman, Binoy G. Kurien, Alejandro Lancho, Giovanni Lavezzi, Gary C. F. Lee, Charles E. Leiserson, Richard Linares, Lindsey McEvoy, Peter Michaleas, Chasen Milner, Alex Pentland, Yury Polyanskiy, Jovan Popovich, Jeffrey Price, Tim W. Reid, Stephanie Riley, Siddharth Samsi, Peter Saunders, Olga Simek, Mark S. Veillette, Amir Weiss, Gregory W. Wornell, Daniela Rus, Scott T. Ruppel:
Advancing AI Challenges for the United States Department of the Air Force*. 1-8 - Vasileios Kalantzis, Mark S. Squillante, Chai Wah Wu:
Stable Iterative Solvers for Ill-Conditioned Linear Systems and Least Squares. 1-7 - Tuteja Trimansingh Parvindersingh, Venkata Kalyan Tavva, Subhasis Banerjee, Chiranjib Sur:
Accelerating Temporal Triangle Counting and Betweenness Centrality on GPUs. 1-7 - Emily Lattanzio, Sansriti Ranjan, Robert Underwood, Thomas Saupe, Robert Speck, Jon C. Calhoun:
Performance Analysis of Inline Compression in pySDC. 1-8 - Anvitha Ramachandran, Dhruv Parikh, Viktor K. Prasanna:
Accelerating Dynamic Image Graph Construction on FPGA for Vision GNNs. 1-7 - Tiancheng Zhao, Zekun Yin, Huihai An, Xiaoyu Yang, Zhou Jin, Jiasi Shen, Helen Xu:
pdGRASS: A Fast Parallel Density-Aware Algorithm for Graph Spectral Sparsification. 1-7 - Piotr Luszczek, Vijay Gadepally, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Daniel J. Burrill, Chansup Byun, Michael Houle, Matthew Hubbell, Michael Jones, Peter Michaleas, Guillermo Morales, Julia Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Jeremy Kepner:
Performance and Numerical Aspects of Decompositional Factorizations with FP64 Floating-Point Emulation in INT8. 1-7 - Ni Nyoman Dhinar Gayatri, Alan D. George:
Comparative Analysis of RISC-V Softcore and Hardcore Processors for Space Computing. 1-7 - Quentin Oschatz, Naifeng Zhang, Mike Franusich, Franz Franchetti:
Towards Automated Reasoning Chains for Verification of LLM-Generated Scientific Code. 1-7 - Brian Wheatman, Andrew A. Chien:
Scalable Graph Algorithms on Distributed UpDown Accelerators. 1-8 - Faizan A. Khattak, Mantas Mikaitis:
Generalized Methodology for Determining Numerical Features of Hardware Floating-Point Matrix Multipliers: Part I. 1-6 - Christian C. Thompson, Abu Asaduzzaman, Md Raihan Uddin, Fairuz Nawar:
Investigating the Impact of Algorithms and Hardware on Machine Learning Models in HPC Systems. 1-6 - Prajwal Niraula, Laurent Wiesenfeld, Julien de Wit, Iouli Gordon, Robert Hargreaves, Jeremy Kepner, Deborah Woods, Cooper Loughlin:
A Scalable Quantum Dynamical Approach for Calculating Collisional Molecular Properties. 1-4 - Victor M. Vergara, Francisco Viramontes, Amanda E. Romero, Matthew E. Spear, Evan Kain, Windy S. Slater, Heather M. Quinn, Qing Wu:
Artificial Intelligence Performance and Radiation Effects in Neuromorphic NorthPole Hardware. 1-6 - Hamid Noori, Hans Vandierendonck, Roger F. Woods, Nick Polydorides:
Enhancing the Real-Time Solutions of Parametric Linear Systems on a GPU through Hybrid Coarse-Grained Transprecision Computing. 1-7 - Hanjing Xu, Xiaoyuan Liu, Alex Pothen, Ilya Safro:
QAOA Parameter Transferability for Maximum Independent Set using Graph Attention Networks. 1-7 - Xiteng Yao, Shining Yang, Mayank Varia, Martin C. Herbordt:
Accelerating Multi-Party Computation Using Heterogeneous Systems. 1-10 - Jacob Munson, Breschine Cummins:
Scaling Regime-Aware Forecasting: Distributed Shifting Seasonal Matrix Factorization. 1-7 - Baidya Nath Saha, Pavan Sarvaiya, Wali Mohammad Abdullah, Md. Morshedul Islam:
CRAMP: Categorizing Classifiers and Regressors for Scalable Parallelism on Distributed and Multicore Systems. 1-6 - Emma McDaniel, Samuel Scheele, Jeffrey Liu:
LLMs in Crisis Triage: Benchmarking Zero-Shot Classification of Social Media. 1-10 - Meng Qin, Weihua Li, Jinqiang Cui, Sen Pei:
InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections. 1-7 - Soumyadip Ghosh, Lior Horesh, Vassilis Kalantzis, Georgios Kollias, Yingdong Lu, Tomasz Nowicki, Shashanka Ubaru:
Power iteration with probabilistic updates for systems with heterogeneous performance. 1-7 - Tommy Yan, Rajat Madhusudan, Anna Mary Mathew, Vani Pulendra:
CTAM Tool for Hyperscaler Qualification. 1-6 - Shining Yang, Xiteng Yao, Grace Nansamba, Amr Akmal Abouelmagd, Anthony Skjellum, Martin C. Herbordt:
Load Imbalance in HPC Applications: Improved Profiling and New Ways to Use Wasted Cycles. 1-9 - Het Mehta, Sambu Patach Arrojula:
AI-Powered Network Energy Optimization Machine Learning Approaches to Reducing Network Power Consumption. 1-7 - Marc Marot-Lassauzaie, Michael Bader:
A variable-precision implementation of the ADER-DG algorithm. 1-7 - Niteya Shah, Pi-Yueh Chuang, Paul Sathre, Wu-chun Feng:
On the Landscape of Scientific Computing Libraries in Python. 1-9 - Alexander Andreopoulos, Michael V. DeBole, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Tapan K. Nayak, Daniel F. Smith, Brian Taba, Filipp Akopyan, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Carlos Ortega Otero, William P. Risk, Jun Sawada, Myron D. Flickner, Dharmendra S. Modha:
The NorthPole Validator: A Cycle-Accurate Simulator for HW/SW Codesign of a Prescheduled Neural Inference Accelerator. 1-11 - Md Raihan Uddin, Abu Asaduzzaman, Sonu Gangadhar Gowda:
Performance Modeling of Heterogeneous Edge-Cloud Systems with Machine Learning. 1-8 - Kobe Bergmans, Karl Meerbergen, Raf Vandebril:
Performance Analysis of the Parallel Shared-Memory Sparse Matrix-Vector Multiplication on Unstructured Matrices. 1-7 - Alissa J. Kane, Felipe Marcelino, Anton Spirkin, Yuchou Chang:
An Improved Izhikevich Neuron Model With Time Delay and Adaptive Parameters for High-Performance Spiking Neural Networks. 1-6 - Wali Mohammad Abdullah, Azmain Kabir:
P4OMP: Retrieval-Augmented Prompting for OpenMP Parallelism in Serial Code. 1-6 - Peter Drum, Alan D. George:
Evaluating AMD-Xilinx Frameworks for Deep-Learning Acceleration on Versal. 1-8 - Talha Coskun, Hiruna Vishwamith, Murat Isik, Jonathan Naoukin, Ismail Can Dikmen:
Exploring Neuromorphic Computing with Loihi-2 for High-Performance CFD Simulations. 1-7 - Jebacyril Arockiaraj, Sasindu Wijeratne, Sugeet Sunder, Md. Abdullah-Al Kaiser, Akhilesh Jaiswal, Ajey P. Jacob, Viktor K. Prasanna:
System-Level Performance Modeling of Photonic In-Memory Computing. 1-7 - Md Raihan Uddin, Abu Asaduzzaman, Fairuz Nawar, Christian C. Thompson:
DNN-Driven Task Scheduling for High Performance Edge-Cloud Heterogeneous Systems. 1-7 - Abhishek Bagusetty, Ajay Panyala, Álvaro Vázquez-Mayagoitia, John K. Holmen, Kevin Harms:
SYCL for Performance Portability: Application Experience with Coupled Cluster Formalism in Quantum Chemistry on Exascale Systems. 1-8 - Stephen Thomas, Lenore Mullin:
Optimizing Sparse Matrix-Vector Multiplication on GPUs using the Mathematics of Arrays. 1-7 - Marika E. Schubert, David Langerman, Evan Gretok, Ian Peitzsch, Calvin B. Gealy, Jefferson Boothe, Alan D. George:
Benchmarking Deep Learning with Representative ONNX Subgraphs. 1-7 - Ritvik Prabhu, Wu-Chun Feng:
Balancing Performance and Productivity: A Comparative Study of Apache Arrow vs. MPI. 1-7 - S. Biplab Raut:
AOCL-CST - A new CPU Stress Test library for AMD CPUs. 1-4 - Grace Nansamba, Evelyn Namugwanya, David Böhme, Dewi Yokelson, Riley Shipley, Derek Schafer, Michael McKinsey, Olga Pearce, Anthony Skjellum:
Leveraging Caliper and Benchpark to Analyze MPI Communication Patterns: Insights from AMG2023, Kripke, and Laghos. 1-10 - Jeremy Kepner, Chansup Byun, LaToya Anderson, William Arcand, David Bestor, William Bergeron, Alex Bonn, Daniel Burrill, Vijay Gadepally, Ryan Haney, Michael Houle, Matthew Hubbell, Hayden Jananthan, Michael Jones, Piotr Luszczek, Lauren Milechin, Guillermo Morales, Julie Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee, Peter Michaleas:
Easy Acceleration with Distributed Arrays. 1-8 - Connor Imes, Dong-In Kang, Matthew French, John Paul Walters:
TRACER Software Switching at Waveform Timescales. 1-7 - Md. Nazirul Hasan Shawon, K. M. Azharul Hasan:
A Time-Aware Sliding Window-Based Hotel Recommendation Framework Using Multi-Stage BERT-MRC. 1-6 - Mariam Hassan, Sanmukh Kuppannagari:
A Locality Sensitive Hashing Based Algorithm to Accelerate Neighborhood Search in Graph Neural Operators. 1-7 - Darin A. Peries, Timothy A. Davis:
A Parallel Push-Relabel Maximum Flow Algorithm in LAGraph and GraphBLAS. 1-6 - Kyrian Adimora, Hongyang Sun:
AIMS: An Adaptive Intelligent Multi-Objective Scheduler Powered by Digital Twins. 1-8 - Chedi Morchdi, Cheng-Hsiang Chiu, Wan-Luan Lee, Tsung-Wei Huang, Yi Zhou:
Enhancing Graph Partitioning with Reinforcement Learning-based Initialization. 1-8 - Himani Musku, Alea Ritchie, Nour Jedidi, Rohan Leekha, Courtland VanDam:
Detecting Expert-Written Comments in Stack Exchange. 1-6 - George M. Slota, Michael Mandulak, Ujwal Pandey, Anthony Fabius:
2D Distributed Label Propagation on 400 GPUs. 1-8 - Michael Mandulak, Sayan Ghosh, S. M. Ferdous, Mahantesh Halappanavar, George M. Slota:
Anonymized Network Sensing using C++26 std::execution on GPUs. 1-7 - Abir Haque, Suzanne M. Shontz, Xuemin Tu:
GPU-Accelerated, Mixed Precision GMRES(m) with Varied Restarts. 1-7 - Maron Schlemon, Martin Schulz, Rolf Scheiber:
SARComp: High-Performance Algorithms for SAR Processing from FFT Kernels to Matched Filtering. 1-7 - Thomas Koch, Kevin Power:
Automating Harmonized System (HS) Code Classification from Unstructured Shipping Manifests using Large Language Models. 1-5
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