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ORCIDIPDPS 2025: Milano, Italy - Workshops
- 2025 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2025 - Workshops, Milano, Italy, June 3-7, 2025. IEEE 2025, ISBN 979-8-3315-2643-6
- Brian Donnelly, Michael Gowanlock:
Performance Characterization of Parallel Combination Generators on CPU and GPU Systems. 4-14 - Matyás Brabec
, Jirí Klepl, Martin Krulis:
Slaying a Life: Optimizing GPU-accelerated Game of Life Stencil. 15-24 - Jordan M. Abt, Ali Farazdaghi, Elizabeth Reid, Curtis Shorts, Tooraj Taraz, Zachary Silva, Ethan Shama, Scott Levy, Whit Schonbein, Matthew G. F. Dosanjh, Amirreza Barati Sedeh, Ryan E. Grant:
Science per Dollar: Modeling Emerging Node Architectures for Accelerator-centric Computing. 25-34 - Ronaldo Canizales, Jedidiah McClurg:
Heterogeneity-Aware Software Performance Characterization via Graph Machine Learning. 35-44 - Paul Hübner, Andong Hu, Ivy Peng, Stefano Markidis:
Apple vs. Oranges: Evaluating the Apple Silicon M-Series SoCs for HPC Performance and Efficiency. 45-54 - Tom Springer, Peiyi Zhao, Robert Alexander, Thomas Jordan:
ARTEMIS: Adaptive Real-Time Task Execution & Management in Heterogeneous Systems. 55-58 - Majid Salimi Beni, Ruben Laso, Biagio Cosenza, Siegfried Benkner, Sascha Hunold:
Exploring NCCL Tuning Strategies for Distributed Deep Learning. 59-62 - Amir Hossein Sojoodi, Ali Farazdaghi, Hamed Sharifian, Ryan E. Grant, Ahmad Afsahi:
Collaborative Bandwidth-Efficient Intra-Node Allreduce. 63-67 - Calvin Bombis, Lena Oden:
nbshmem: Enabling GPU-Initiated Multi-GPU Communication in Python. 68-77 - Adrien Gegout, Djob Mvondo, Davide Frey, Pascal Monchon:
Towards an Efficient Containerized Cloud Gaming Platform. 78-86 - Mohamed Bouaziz, Suhaib A. Fahmy:
PRNGine: Massively Parallel Pseudo-Random Number Generation and Probability Distribution Approximations on AMD AI Engines. 91-98 - Mohamed Bouaziz, Suhaib A. Fahmy:
Benchmarking Floating Point Performance of Massively Parallel Dataflow Overlays on AMD Versal Compute Primitives. 99-103 - Felix Böseler, Jörg Walter, Verena Klös:
Enabling Manual-Controllable Compilation for Dataflow CGRAs. 104-111 - Hisako Ito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura:
A Decoupled Coarse-Grained Reconfigurable Architecture by Introducing Data Flow Management Unit. 112-119 - Anh Nguyen, Sebastian Czyrny, Takahide Yoshikawa, Jason Helge Anderson:
RAAP-CGRA: Placement for CGRAs with Restricted Routing Architectures. 120-126 - Isaac David Núñez Araya, Michael Gerndt, Shajulin Benedict:
Serverless IoT Framework. 130-139 - Michele Martone, Julia Lawall:
Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle. 140-148 - Patrick J. Flynn, Xinyao Yi, Erik Saule, Gokcen Kestor, Yonghong Yan:
SpMM-Bench: Performance Characterization of Sparse Formats for Sparse-Dense Matrix Multiplication. 149-158 - Yao Xu, Grace Nansamba, Anthony Skjellum, Gene Cooperman:
The Case for ABI Interoperability in a Fault Tolerant MPI. 159-167 - Raneem Abu Yosef, Bokyeong Yoon, Martin Kong:
Exploring Communication Anomalies in Chapel. 168-177 - Aaron Welch, Oscar R. Hernandez, Stephen W. Poole, Wendy Poole:
Implementing Directive-Based Deferred Execution for Effective Network Aggregation. 178-186 - Josef Weidendorfer, Lukas Neef, Robert Hubinger, Amir Raoofy:
Data Transfer Schemes in the High-Level Communication Library LAIK. 187-196 - Ashish Bisht, Aniket P. Garade, Deepika H. V, Haribabu P, S. A. Kumar, S. D. Sudarsan:
SYCL for HPC: Adapting to Diverse CPU Architecture. 197-204 - Sanil Rao, Larry Tang, Franz Franchetti:
LibraryX-ASIC: A First Look. 205-208 - Upasana Sridhar, Elliott Binder, Tze Meng Low:
Gen-AI in a Bottle: Experiments with LLMs to Generate HPC Kernels. 215-224 - Mohammed Baydoun, Mohammad Sonji, Pedro Bruel, Dejan S. Milojicic, Eitan Frachtenberg, Izzat El Hajj:
Predicting Performance Variability. 225-234 - Aishwarya Parab, Prakhar Pradhan, Yogesh Simmhan, Arnab K. Paul:
A Blockchain-Enabled Framework for Storage and Retrieval of Social Data. 237-240 - Rohullah Akbari, Daniel Thilo Schroeder, Petra Filkuková, Johannes Langguth:
Monitoring Digital Wildfires: a Large-Scale Dataset of COVID-19 Conspiracy Tweets Created via Fast NLP Inference using the Graphcore IPU. 241-250 - Suman Raj, Bhavani A Madhabhavi, Kautuk Astu, Arnav A Rajesh, Pratham M, Yogesh Simmhan:
Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired. 251-254 - Roman Wiatr, Renata G. Slota:
Predicting the Predictor: Linear Metamodeling for Evolving User Response Prediction. 255-264 - Pranav Pamidighantam, Vairavan Murugappan, Suresh Subramanian, Eunice E. Santos:
Towards community-based influence spread prediction (CIP) for edge changes in large-scale dynamic social networks. 265-274 - Mykhailo Novikov, Xavier Besseron:
Rapid Random Packing of Poly-disperse Spheres using Adam Stochastic Optimization. 277-286 - Chu-Yuan Huang, Kazuhiko Komatsu, Makoto Onoda, Masahito Kumagai, Masayuki Sato, Hiroaki Kobayashi:
A Compressed QUBO Format for Traveling Salesperson Problems. 287-296 - Byron DeVries, Christian Trefftz:
Reusable Object-Oriented Parallelization of Branch-and-Bound Algorithms. 297-306 - Mahmoud El Mehdi El Khadiri, El-Ghazali Talbi:
Parallel Fractal Decomposition Optimization Algorithms on Heterogeneous Architectures. 307-315 - Leszek Sliwko, Jolanta Mizera-Pietraszko:
Enhancing Cluster Scheduling in HPC: A Continuous Transfer Learning for Real-Time Optimization. 316-325 - Tarek Menouer, Patrice Darmon, Christophe Cérin, Jonathan Rivalan:
Dynamic configuration of Kubernetes containers resources with SLA classes. 326-332 - Bohdan Ivaniuk-Skulskyi, Nadiya Shvai, Amir Nakib, El-Ghazali Talbi:
Enhancing Generalization in Video Anomaly Detection through Multimodal Data Mixing. 333-342 - Andrei Tchernykh, Marianne Salgado-Ramos, Bernardo Pulido-Gaytan, Horacio González-Vélez, Esteban Mosckos, Mikhail G. Babenko:
Efficient Privacy-Preserving Convolutional Neural Networks with CKKS-RNS for Encrypted Image Classification. 343-352 - Desh Ranjan, Mohammad Zubair:
A Header-Based C++ Library for Computing Hessian on GPU using Automatic Differentiation. 355-364 - Jakub Homola, Radim Vavrík, Ondrej Meca, Tomás Brzobohatý, Lubomír Ríha:
Assembly of FETI dual operator using CUDA. 365-374 - Ryo Yoda, Matthias Bolten:
Block Epsilon-Circulant Preconditioning with GPU-Accelerated Spatial Solvers for Linear Time-Dependent PDEs. 375-384 - Peter E. Strazdins:
A Simple Tiled Approach to Teaching Parallel Computing. 385-394 - Subhajit Sahu, Mahen N, Kishore Kothapalli:
ν-LPA: Fast GPU-based Label Propagation Algorithm (LPA) for Community Detection. 395-404 - Jelle van Dijk, Gábor Závodszky, Ana Lucia Varbanescu, Andy D. Pimentel:
Embracing Load Imbalance for Energy Optimizations: a Case-Study. 405-412 - Jurdana Masuma Iqrah, Young Hyun Koo, Wei Wang, Hongjie Xie, Sushil K. Prasad:
Scalable Higher Resolution Polar Sea Ice Classification and Freeboard Calculation from ICESat-2 ATL03 Data. 413-422 - Sehrish Qummar, August Ernstsson, Christoph W. Kessler, Oleg Sysoev:
SkePU-DNN: Algorithmic Skeleton Programming for Deep Learning on Heterogeneous Systems. 423-432 - Wajih Halim Boukaram, Yang Liu, Pieter Ghysels, Xiaoye Sherry Li:
Adaptive Sketching Based Construction of H2 Matrices on GPUs. 433-442 - Kewei Yan, Yonghong Yan:
In-Situ Auto-Regressive Surrogate Modeling for Feature Extraction Using Ascent. 443-452 - Elvis Rojas, Luis Carlos N. Todd, Esteban Meneses:
Using Checkpoint Alteration to Gauge Fault Sensitivity of HPC Scientific Applications. 453-462 - Michail Boulasikis, Flavius Gruian, Robert-Zoltán Szász:
Thalassa: Transforming Symbolic PDEs into Tensor-Based Solvers Running on ML Accelerators. 463-472 - Luca Pennati, Måns I. Andersson, Klaus Steiniger, René Widera, Tapish Narwal, Michael Bussmann, Stefano Markidis:
A Parallel and Highly-Portable HPC Poisson Solver: Preconditioned Bi-CGSTAB with alpaka. 473-483 - Joseph Touzet, Oguz Kaya, Pablo Arrighi, Amélia Durbec:
QuIDS: A Large-Scale Distributed Framework for Quantum Irregular Dynamics Simulations. 491-500 - Océane Koska, Marc Baboulin, Arnaud Gazda:
A mixed-precision quantum-classical algorithm for solving linear systems. 501-508 - Giacomo Antonioli, Alessandro Berti, Alessandro Poggiali, Anna Bernasconi, Gianna M. Del Corso:
Outlier Detection and other applications of Quantum Matrix Multiplication. 509-518 - Robin Ollive, Stéphane Louise:
Gate Efficient Composition of Hamiltonian Simulation and Block-Encoding with its Application on HUBO, Chemistry and Finite Difference Method. 519-528 - Ashfaq A. Khokhar:
Q-CASA: Concluding Remarks From Theory to Execution: System-Level Challenges and Innovations in Scalable Quantum Computing*. 529 - Abdulfatah Bahbouh, Ishfaq Ahmad, Hansheng Lei, Saif Ul Islam:
Parallel Processing for Distributed Machine Learning: A Taxonomy of Techniques and Associated Security Risks. 533-542 - Dikshant Pratap Singh, Mathialakan Thavappiragasam, Brice Videau:
Efficient Intra-node Hierarchical Parallelisms And Dynamic Load Balancing Strategies On Heterogeneous Systems. 543-552 - Fernando H. L. Buzato, Alfredo Goldman:
Extending Microservices Performance Optimization Through Horizontal Pod Autoscaling: A Comprehensive Study. 553-562 - Youssef Elmougy, Nirjhar Deb, Akihiro Hayashi, Vivek Sarkar:
Enhancing Productivity and Performance of HClib-Actor with Efficient Task Termination. 563-567 - Kohya Shiozaki, Junya Nakamura:
Dynatune: Dynamic Tuning of Raft Election Parameters Using Network Measurement. 568-577 - Yonghwan Kim, Yoshiaki Katayama, Koichi Wada:
Pairbot: Enhancing Computational Capabilities by Pairing of Autonomous Mobile Robots. 578-587 - Victor Parque:
Towards a Fast and Generalizable Neural Inference Scheme for Tabular Data. 588-596 - Steven D. Harris, Roger D. Chamberlain, Christopher D. Gill:
Performance Modeling of Non-Uniform Heterogeneous Platforms. 597-607 - Reo Gakumi, Ryota Yasudo:
RL-assisted Annealing for QUBO on a Multi-GPU System. 608-617 - Shunsuke Tsukiyama, Xiaotian Li, Koji Nakano, Victor Parque, Yasuaki Ito, Takumi Kato, Yuya Kawamata, Kaiki Ii:
CUBO-to-QUBO Conversion: Reducing Cubic Formulations to Quadratic Formulations. 618-625 - Koji Nakano, Shunsuke Tsukiyama, Xiaotian Li, Yasuaki Ito, Victor Parque, Takumi Kato, Yuya Kawamata, Kaiki Ii:
QUBO++: A C++ Library for Developing and Solving QUBO Problems. 626-637 - Isil Öz, Chelsea Cropper:
Teaching Accelerated Computing with Hands-on Experience. 642-649 - Leonel Sousa:
Crash Course on Quantum Computing for Engineering Students. 650-657 - Mary L. Smith, Srishti Srivastava, David P. Bunde, April Renee Crockett, Michael C. Gerten, Peter Maher, Jaime Spacco, Xiaoyuan Suo, Jiayin Wang, Michelle Zhu:
A Visual Unplugged Activity to Introduce PDC. 658-665 - Brian P. Railing, Lukas Kebuladze, Nathan Deyak, Zachary Weinberg:
SFS: A Simple File System for Teaching Parallelism in Computer Systems. 666-672 - Srishti Srivastava, Mary L. Smith:
Assessing Parallel and Distributed Computing Knowledge Through a Card Game. 673-679 - Yuede Ji:
High-Performance Computing for Graph AI: A Top-Down Perspective. 680-683 - Christopher Atala, Meredith Morrison, Grey Ballard:
Visualizing MPI Collective Communication. 684-687 - Callie Stewart, Gerald C. Gannod:
Experience using AI in MPI Test Suite Development: Implications for Educators. 688-691 - H. Martin Bücker, Johannes Schoder, Xiaoyuan Suo, David P. Bunde:
Peachy Parallel Assignments (EduPar 2025). 692-696 - Sandra Catalán, Rocío Carratalá-Sáez, Vicente Lopez-Oliva, Katerina Michalickova, Shubbhi Taneja:
EduPar 2025 Posters. 697-700 - Méline Trochon, Julien Bigot, Virginie Grandgirard, Dorian Midou:
Checkpointing Optimisation to Prepare Future Exascale Plasma Turbulence Simulations. 703-711 - Jayesh Krishna, Danqing Wu, Robert L. Jacob, Dmitry Ganyushin:
SCORPIO: A Parallel I/O library for Exascale Earth System Models. 712-721 - Dlyaver Djebarov, Radita Liem, Sarah Neuwirth, Jean Luca Bez, Suren Byna:
Streamlining HDF5's AI Workloads Benchmarking. 722-730 - Mahamat Abdraman, Francieli Boito, Luan Teylo:
IOPS: I/O Performance Evaluation Suite. 731-736 - Yili Ma, Shengquan Yin, Jing Xing, Haoquan Long, Zheng Wei, Guangming Tan, Dingwen Tao:
NAPEH: An Asynchronous and NUMA-Aware KV Store Based on Non-Volatile Memory Architectures. 737-743 - Binglin Ji, Chenfeng Zhao, Roger D. Chamberlain:
FGI: Fast GNN Inference on Multi-Core Systems. 748-757 - Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar:
Divide, Conquer, and Match: A Distributed and Asynchronous Approach for Subgraph Isomorphism. 758-761 - Joseph Zuber, Aishwarya Sarkar, Joseph Jennings, Ali Jannesari:
Enhanced Soups for Graph Neural Networks. 762-771 - Alok Tripathy, Alina Lazar, Xiangyang Ju, Paolo Calafiura, Katherine A. Yelick, Aydin Buluç:
Scaling Graph Neural Networks for Particle Track Reconstruction. 772-776 - Lance G. Fletcher, Trevor Steil, Roger Pearce:
RaNT-Graph: A Scalable Approach to Sampling Billions of Walks or Paths from Weighted Graphs. 777-786 - Mohammad Sonji, Mohammed Baydoun, Aditya Dhakal, Gourav Rattihalli, Dejan S. Milojicic, Izzat El Hajj:
Serverless Graph Analytics on Multi-Instance GPU. 787-794 - Saikat Dey, Sonal Jha, Frank Wanye, Wu-Chun Feng:
On the Landscape of Graph Clustering at Scale. 795-804 - Lorenzo Asquini, Manos Frouzakis, Juan Gómez-Luna, Mohammad Sadrosadati, Onur Mutlu, Francesco Silvestri:
Accelerating Triangle Counting with Real Processing-in-Memory Systems. 805-814 - Albert d'Aviau de Piolant, Hayfa Tayeb, Bérenger Bramas, Mathieu Faverge, Abdou Guermouche, Amina Guermouche:
Improving energy efficiency of HPC applications using unbalanced GPU power capping. 820-829 - Daniel Velicka, Ondrej Vysocky, Lubomir Riha:
Methodology for GPU Frequency Switching Latency Measurement. 830-839 - Jianbo Wu, Jie Ren, Shuangyan Yang, Konstantinos Parasyris, Giorgis Georgakoudis, Ignacio Laguna, Dong Li:
LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control. 840-849 - Colleen Bertoni, Thomas Applencourt, Longfei Gao, Ti Leggett:
Millions of Matrix-Multiplications: GEMM Variations on Aurora. 850-856 - Mickaël Boichot, Adrien Roussel, Elisabeth Brunet, Patrick Carribault:
Leveraging Interaction Between Memory Footprint and Parallelism Degree for efficient GPU Portings. 857-865 - Carlos Lima, Rui Alves, José Rufino:
HaaS - A Platform for Password Cracking in Distributed Heterogeneous Systems. 866-875 - Martin Wilhelm, Thilo Pionteck:
Static task mapping for heterogeneous systems based on series-parallel decompositions. 876-885 - Steffen Christgau, Dylan Everingham, Max Lübke, Marco De Lucia, Danny Puhan, Niklas Schelten, Bettina Schnor, Hannes Signer, Johannes Spazier, Benno Stabernack, Fritjof Steinert, Serhii Yahdzhyiev:
On the Usability and Energy Efficiency of High-Level Synthesis for FPGA-based Network-Attached Accelerators. 886-895 - Diane Orhan, Yacine Idouar, Laércio Lima Pilla, Adrien Cassagne, Denis Barthou, Christophe Jégo:
Scheduling Strategies for Partially-Replicable Task Chains on Two Types of Resources. 896-905 - Filip Vaverka, Ondrej Vysocky, Lubomir Riha:
Heterogeneous Memory Pool Tuning. 906-912 - Ami Marowka:
On the Singularity of SYCL. 913-922 - Ferrol Aderholdt, Aamir Shafi, Manjunath Gorentla Venkata:
Proactive Endpoint Congestion Avoidance in UCC. 923-930 - Eleni Adam, Terry Stilwell, Desh Ranjan, Harold Riethman:
Development and Deployment of a Genomic Cancer Data Extraction Pipeline on the Cloud. 935-938 - Charly Airault, Charles Deltel, Florestan De Moor, Erwan Drezen, Meven Mognol, Dominique Lavenier:
Protein database search using Processing-in-Memory architecture. 939-948 - Nikolaos Alachiotis, Matthijs Leon Souilljee:
Exploring the AMD® Deep Learning Processor Unit for Accelerating Selective Sweep Detection. 949-958 - André Merzky, Mikhail Titov, Matteo Turilli, Ozgur O. Kilic, Tianle Wang, Shantenu Jha:
Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications. 962-969 - Moiz Arif, Avinash Maurya, Sudharshan Vazhkudai, Bogdan Nicolae:
Evaluating Expansion Memory for Optimizer State Offloading for Large Transformer Models. 970-977 - Thomas Randall, Akhilesh Bondapalli, Rong Ge, Prasanna Balaprakash:
Is In-Context Learning Feasible for HPC Performance Autotuning? 978-985 - Max H. Faykus, Luanzheng Guo, Rizwan A. Ashraf, Jan Strube, Jon C. Calhoun, Nathan R. Tallent:
Exploration of LLM Lossless Compression on Scientific Data. 986-990 - Ioanna Tasou, Petros Anastasiadis, Panagiotis Mpakos, Dimitrios Galanopoulos, Nectarios Koziris, Georgios I. Goumas:
Breaking Down LLM Inference: A preliminary performance analysis of sparsified transformers. 991-995 - Chinmay Sahasrabudhe, Yang Ho, Nick Winovich, Sivasankaran Rajamanickam:
Imperfect Recognition: A Study of OCR Limitations in the Context of Scientific Documents. 996-1002 - Shiva Sai Krishna Anand Tokal, Vaibhav Jha, Anand Eswaran, Praveen Jayachandran, Yogesh Simmhan:
Towards Orchestrating Agentic Applications as FaaS Workflows. 1003-1010 - Aymen Alsaadi, Jonathan Ash, Mikhail Titov, Matteo Turilli, André Merzky, Shantenu Jha, Sagar Khare:
Adaptive Protein Design Protocols and Middleware. 1011-1015 - Flavio Renzi, Haoyu Ren, Alessio Bernardo, Giacomo Ziffer, Darko Anicic, Emanuele Della Valle:
Online Learning Techniques for Occupancy Detection on Resource Constrained Devices. 1019-1026 - Christophe Cérin, Melvyn Chemin:
Trade-Offs in Resource-Constrained Dimensionality Reduction Algorithms. 1027-1034 - Paul Daniëlse, Hsiang-Ling Tai, Shashikant Ilager, Zhiming Zhao:
Investigating Efficient Edge Offloading Architectures for Serverless Systems. 1035-1038 - Narges Mehran, Zahra Najafabadi Samani, Reza Farahani, Josef Hammer, Dragi Kimovski:
DEEP: Edge-Based Dataflow Processing with Hybrid Docker Hub and Regional Registries. 1039-1042 - Sashko Ristov, Anna Meshcheriakova, Philipp Gritsch, Philipp Zech, Ruth Breu:
Goal-Driven building automation using serverless computing. 1043-1049 - Jyotishman Sarkar, Urmi Jana, Barnali Basak, Himadri Sekhar Paul, Swagata Biswas:
Towards Predicting Inference Latency of TinyML Models. 1050-1053 - Riccardo Cantini, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Towards Interpretable Energy Estimation for Edge AI Applications. 1054-1057 - Matthijs Jansen, Maciej Kozub, Alexandru Iosup, Daniele Bonetta:
Memory Efficient WebAssembly Containers. 1058-1065 - Kurt Horvath, Shpresa Tuda, Blerta Idrizi, Stojan Kitanov, Fisnik Doko, Dragi Kimovski:
6G Infrastructures for Edge AI: An Analytical Perspective. 1066-1072 - Gabriele Russo Russo, Pierpaolo Spaziani, Valeria Cardellini:
Towards QoS-Aware Serverless Function Offloading in the Edge-Cloud Continuum through Reinforcement Learning. 1073-1080 - Alfredo Lipari, Gabriele Proietti Mattia, Roberto Beraldi:
Dynamic and Forecast-Based Containers Autoscaling for Kubernetes with Reinforcement Learning. 1081-1088 - Thomas Auer, Kurt Horvath, Dragi Kimovski:
Blockchain consensus mechanisms for democratic voting environments. 1089-1096 - Amir Ali Pour, Julien Gascon-Samson:
SDFLMQ: A Semi-Decentralized Federated Learning Framework over MQTT. 1100-1107 - Mayank Arya, Yogesh Simmhan:
Understanding the Performance and Power of LLM Inferencing on Edge Accelerators. 1108-1111 - Yongho Kim, Seongha Park, Swann Perarnau, Akhilesh Raj:
Charon: An End-to-End Infrastructure for Connecting AI@Edge to HPC. 1112-1119 - Vincenzo Barbuto, Claudio Savaglio, Giancarlo Fortino, Edward A. Lee:
Edge AI in the computing continuum: Consistency and Availability at Early Design Stages. 1120-1127 - Emanuele Petriglia, Federica Filippini, Michele Ciavotta, Marco Savi:
Multi-Agent Reinforcement Learning for Workload Distribution in FaaS-Edge Computing Systems. 1128-1131 - Mohamed Anisse Belhadj, Kods Trabelsi, Loïc Cudennec, Henri-Pierre Charles:
Software Container-based Energy Estimation Models for ARM Architecture. 1132-1139 - Gonzalo Salinas, Guilherme Sequeira, Alfonso Rodríguez, João Bispo, Nuno Paulino:
SIMD Acceleration of Matrix-Vector Operations on RISC-V for Variable Precision Neural Networks. 1140-1147 - Jin-Shyan Lee, Pin-Hsuan Lee:
Optimizing Speech Emotion Recognition with Dynamic Dilation Rates for Efficient Edge Deployment. 1148-1155 - Nishant Saurabh, Pradeep Kumar Mantha, Shantenu Jha, André Luckow:
Compositional Execution Motifs for Quantum-HPC Systems. 1157-1162 - Meriam Gay Bautista-Jurney, Patricia Gonzalez-Guerrero, Anastasiia Butko:
SFQ-Driven Pulse-Phase Sequence Generator for Superconducting Qubit Control. 1163-1169 - Alejandro Becerra, Abani K. Patra:
A Recursive Approach to Representation in Hilbert Spaces of Increasing Dimension: Applications to Quantum-centric HPC tool development. 1170-1174 - Sophia Keip, Daan Camps, Roel Van Beeumen:
QCLAB: A Matlab Toolbox for Quantum Computing. 1175-1181 - Kiyotaka Murashima:
Computational Speedup of Simulated Annealing with Nested Monte Carlo Loop. 1182-1187 - Gianluca Scanu, Marco Venere, Donatella Sciuto, Marco D. Santambrogio:
QABE: a Framework for Quantum Annealer Programming and Benchmarking. 1188-1193 - Muhammad Ali Farooq, Abid Rafique, Suhaib A. Fahmy, Aman Arora:
High Throughput Low Latency Network Intrusion Detection on FPGAs: A Raw Packet Approach. 1201-1207 - Brindusa Mihaela Damian-Kosterhon, Andreas Koch, Felix Kosterhon, Lucian Petrica:
Improving mapping of convolutional neural networks on FPGAs through tailored macro sizes. 1208-1215 - Rodrigo Olmos, Andrés Otero:
An FPGA-Accelerated Framework for Optimizing Decision Tree Ensembles in Supervised Learning. 1216 - Tomoya Yokono, Yoshiki Yamaguchi:
Accelerating CRS Format Conversion for Sparse Matrix Computation with an FPGA. 1217 - Eleonora Cabai, Giuseppe Sorrentino, Marco Domenico Santambrogio, Davide Conficconi:
A Hardware/Software Co-Design Approach for Versal-Based K-means Acceleration. 1218 - Federico Mansutti, Davide Ettori, Giuseppe Sorrentino, Marco Domenico Santambrogio, Davide Conficconi:
Towards a Methodology to Leverage Alveo Versal System Usability And Parallelization. 1219 - Aya Jendoubi, Jean-Christophe Prévotet, Philippe Tanguy, Pascal Cotret:
Security of Dynamically Reconfigurable RISC-V Systems: I/O Attack Focus. 1220 - Rohan Krishna Vijayaraghavan, Ahmed Kamaleldin, Matthias Nickel, Diana Göhringer:
A RISC-V Coprocessor for Seamless Integration of Stream-Based Accelerators. 1221-1227 - Martin Langhammer, Gregg Baeckler, Kim Bozman:
A 950 MHz SIMT Soft Processor. 1228-1235 - Luis Waucquez, Alfonso Rodriguez:
Reconfigurable Processor-Centric Accelerators for Safety-Critical Applications. 1236-1242 - Noemi D'Abbondanza, Stylianos Tzelepis, Nicolò Ghielmetti, Ioannis Kakogeorgiou, Vanya Buchova, Konstantinos Karantzalos, Katerina Kikaki, Nicolas-Marcel Lemoine, Maurizio Pierini, Sioni Summers, Simon Vellas, François de Vieilleville, Boyan-Nikola Zafirov:
Edge SpAIce: Deep Learning Deployment Pipeline for Onboard Data Reduction on Satellite FPGAs. 1243-1249 - Yngve Hafting, Alexander Wold:
Testbench analysis using non-invasive fault injection. 1250-1256 - Simone Pernice, Ahmad Tarraf, Jean-Baptiste Besnard, Barbara Cantalupo, Alberto Cascajo, David E. Singh, Felix Wolf, Jesús Carretero, Sameer Shende, Marco Aldinucci:
A Simulation-Based Framework to Reduce I/O Contention in HPC. 1258-1260 - Md Hasanur Rahman, Sheng Di, Guanpeng Li, Franck Cappello:
Characterizing Spatial Data Traits for Modeling Generic Lossy Rate-Distortion Quality. 1261-1262 - Toni Böhnlein, Pál András Papp, Raphael S. Steiner, Albert-Jan Nicholas Yzelman:
Efficient Parallel Scheduling for Sparse Triangular Solvers. 1263-1265 - Ellie Lipe, Neel Karia, Clifford Stein, Connor Espenshade, Olivier Tardieu, Asser N. Tantawi:
Energy Efficient Scheduling of AI/ML Workloads on Multi-Instance GPUs with Dynamic Repartitioning. 1266-1268 - Jun-Liang Lin, Kamesh Madduri, Mahmut Taylan Kandemir:
Enhancing Graph Transformer Training through Adaptive Graph Parallelism. 1269-1270 - Minyu Cui, Miquel Pericàs:
Evaluation and Mitigation of Performance Variability of OpenMP Applications on Modern Multicore Systems. 1271-1273 - Przemyslaw Dominikowski, Atte Torri, Brice Pointal, Oguz Kaya, Laércio Lima Pilla, Olivier Coulaud:
Exploring Near-Optimal Contraction Strategies for the Scalar Product in the Tensor-Train Format. 1274-1276 - Yiqing Wang, Hailong Yang, Xiaoyan Liu, Xinyu Yang, Pengbo Wang, Xin You, Qingxiao Sun, Mingzhen Li, Yi Liu, Zhongzhi Luan, Depei Qian:
INSPIRIT: Adaptive Priority-based Task Scheduling for Heterogeneous Hardware. 1277-1279 - Sanil Rao, Mohammad Alaul Haque Monil, Het Mankad, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter, Franz Franchetti:
IRISX: A Dynamic Trade-off System for Harnessing Heterogeneity for Performance Portability. 1280-1282 - Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo:
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing. 1283-1285 - Si Chen, Simon Garcia De Gonzalo, Avani Wildani:
MetaCast: Generalizing HPC Application Runtime Prediction. 1286-1287 - Bartlomiej Wróblewski, Gioele Gottardo, Anastasios Zouzias:
Parallel Scan on Ascend AI Accelerators. 1290-1292 - Ivan Tagliaferro, Guillaume Helbecque, Ezhilmathi Krishnasamy, Nouredine Melab, Grégoire Danoy:
Performance and Portability in Multi-GPU Branch-and-Bound: Chapel Versus CUDA and HIP for Tree-Based Optimization. 1293-1295 - Amena Begum Farha, Abdullah Al-Mamun, Gagan Agrawal:
Poster: A Scalable and Fault-Tolerant Decentralized Middleware for CI/CD Workflow. 1296-1297 - Arivarasan Karmegam, Gabina Luz Bianchi, Margarita Capretto, Martín Ceresa, Antonio Fernández Anta, César Sánchez:
Setchain Algorithms for Blockchain Scalability (Extended Abstract). 1298-1300 - Marco D'Antonio, Son Thai Mai, Hans Vandierendonck:
Toward Efficient Asynchronous Single-Source Shortest Path. 1301-1303 - Ehan Sohn, Changjong Kim, Alex Sim, Dong Kyu Sung, Yongseok Son, Jisung Park, Sunggon Kim:
Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis. 1304-1306 - Shanghao Liu, Hailong Yang, Xin You, Zhongzhi Luan, Yi Liu, Depei Qian:
Towards Efficient Instruction Stream Scheduling for Stencil Computation on ARM Processors. 1307-1310 - Zheng Wei, Jing Xing, Yida Gu, Guangming Tan, Dingwen Tao:
TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System. 1311-1313 - Jingyao Zhang, Elaheh Sadredini:
Unlocking Energy-Efficient and High-Throughput Secure Data Communication in IoT with Memory-Centric Computing. 1314-1315
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