Table of Contents

• From Static to Malleable: Improving Flexibility and Compatibility in Burst Buffer File SystemsMarc-André Vef, Alberto Miranda, Ramon Nou, André Brinkmann. 3-15 [doi]
• Malleable Techniques and Resource Scheduling to Improve Energy Efficiency in Parallel ApplicationsAlberto Cascajo, Alvaro Arbe, Francisco Javier García Blas, Jesús Carretero 0001, David E. Singh. 16-27 [doi]
• Towards Achieving Transparent Malleability Thanks to MPI Process VirtualizationHugo Taboada, Romain Pereira, Julien Jaeger, Jean-Baptiste Besnard. 28-41 [doi]
• A Case Study on PMIx-Usage for Dynamic Resource ManagementDominik Huber, Martin Schreiber 0001, Martin Schulz 0001. 42-55 [doi]
• Malleable and Adaptive Ad-Hoc File System for Data Intensive Workloads in HPC ApplicationsGenaro Sanchez-Gallegos, Francisco Javier García Blas, Cosmin Petre, Jesús Carretero 0001. 56-67 [doi]
• Towards Smarter Schedulers: Molding Jobs into the Right Shape via Monitoring and ModelingJean-Baptiste Besnard, Ahmad Tarraf, Clément Barthélemy, Alberto Cascajo, Emmanuel Jeannot, Sameer Shende, Felix Wolf 0001. 68-81 [doi]
• Probabilistic Job History Conversion and Performance Model Generation for Malleable Scheduling SimulationsIsaías Comprés, Eishi Arima, Martin Schulz 0001, Tiberiu Rotaru, Rui Machado. 82-94 [doi]
• Improving Live Migration Efficiency in QEMU: A Paravirtualized ApproachFilippo Storniolo, Luigi Leonardi, Giuseppe Lettieri. 97-106 [doi]
• Performance Losses with Virtualization: Comparing Bare Metal to VMs and ContainersJonatan Baumgartner, Christophe Lillo, Sébastien Rumley. 107-120 [doi]
• Real-Time Unikernels: A First LookLuca Abeni. 121-133 [doi]
• Accelerating Scientific Applications with the Quantum Edge: A Drug Design Use CaseVincenzo De Maio, Ivona Brandic. 134-143 [doi]
• Event-Driven Chaos Testing for Containerized ApplicationsFotis Nikolaidis, Antony Chazapis, Manolis Marazakis, Angelos Bilas. 144-157 [doi]
• Analyzing Parallel Applications for Unnecessary I/O Semantics that Inhibit File System PerformanceSebastian Oeste, Michael Kluge, Ronny Tschüter, Wolfgang E. Nagel. 161-176 [doi]
• Running Kubernetes Workloads on HPCAntony Chazapis, Fotis Nikolaidis, Manolis Marazakis, Angelos Bilas. 181-192 [doi]
• A GPU-Accelerated Molecular Docking Workflow with Kubernetes and Apache AirflowDaniel Araújo de Medeiros, Gabin Schieffer, Jacob Wahlgren, Ivy Bo Peng. 193-206 [doi]
• Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using RayTingkai Liu, Marquita Ellis, Carlos H. A. Costa, Claudia Misale, Sara Kokkila Schumacher, Jinwook Jung, Gi-Joon Nam, Volodymyr V. Kindratenko. 207-220 [doi]
• Understanding System Resilience for Converged Computing of Cloud, Edge, and HPCLuanzheng Guo, Jay Lofstead, Jie Ren 0015, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon. 221-233 [doi]
• Estimating the Energy Consumption of Applications in the Computing Continuum with iFogSimSaeedeh Baneshi, Ana Lucia Varbanescu, Anuj Pathania, Benny Akesson, Andy D. Pimentel. 234-249 [doi]
• Inshimtu - A Lightweight In Situ Visualization "Shim"James Kress, Glendon Holst, Hari Prasad Dasari, Shehzad Afzal, Ibrahim Hoteit, Thomas Theußl. 257-268 [doi]
• Catalyst-ADIOS2: In Transit Analysis for Numerical Simulations Using Catalyst 2 APIFrançois Mazen, Lucas Givord, Charles Gueunet. 269-276 [doi]
• A Case Study on Providing Accessibility-Focused In-Transit Architectures for Neural Network Simulation and AnalysisMarcel Krüger, Simon Oehrl, Torsten Wolfgang Kuhlen, Tim Gerrits. 277-287 [doi]
• Automatic Detection of HPC Job Inefficiencies at TU Dresden's HPC Center with PIKAFrank Winkler, Andreas Knüpfer. 295-306 [doi]
• ML-Based Methodology for HPC Facilities SupervisionLaetitia Anton, Sophie Willemot, Sebastien Gougeaud, Soraya Zertal. 307-319 [doi]
• A Fast Simulator to Enable HPC Scheduling Strategy ComparisonsAlex Wilkinson, Jess Jones, Harvey Richardson, Tim Dykes, Utz-Uwe Haus. 320-333 [doi]
• Application Performance Analysis: A Report on the Impact of Memory BandwidthYinzhi Wang, John D. McCalpin, Junjie Li, Matthew Cawood, John Cazes, Hanning Chen, Lars Koesterke, Hang Liu, Chun-Yaung Lu, Robert T. McLay, Kent Milfield, Amit Ruhela, Dave Semeraro, Wenyang Zhang. 339-352 [doi]
• DAOS Beyond Persistent Memory: Architecture and Initial Performance ResultsMichael Hennecke, Jeff Olivier, Tom Nabarro, Zhen Liang, Yawei Niu, Shilong Wang, Xuezhao Liu. 353-365 [doi]
• Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space ExplorationSai P. Chenna, Nalini Kumar, Leonardo Borges, Michael Steyer, Philippe Thierry, Maria Garzaran 0001. 366-377 [doi]
• Portability and Scalability of OpenMP Offloading on State-of-the-Art AcceleratorsYehonatan Fridman, Guy Tamir, Gal Oren 0001. 378-390 [doi]
• An Earlier Experiences Towards Optimizing Apache Spark Over Frontera SupercomputerSamuel Bernardo, Amit Ruhela, John Cazes, Stephen Lien Harrell, Jorge Gomes 0001. 391-402 [doi]
• Bandwidth Limits in the Intel Xeon Max (Sapphire Rapids with HBM) ProcessorsJohn D. McCalpin. 403-413 [doi]
• Test-Driving RISC-V Vector Hardware for HPCJoseph K. L. Lee, Maurice Jamieson, Nick Brown 0002, Ricardo Jesus. 419-432 [doi]
• Backporting RISC-V Vector AssemblyJoseph K. L. Lee, Maurice Jamieson, Nick Brown 0002. 433-443 [doi]
• Functional Testing with STLs: A Step Towards Reliable RISC-V-based HPC Commodity ClustersJosie E. Rodriguez Condia, Nikolaos Ioannis Deligiannis, Jacopo Sini, Riccardo Cantoro, Matteo Sonza Reorda. 444-457 [doi]
• Challenges and Opportunities for RISC-V Architectures Towards Genomics-Based WorkloadsGonzalo Gomez-Sanchez, Aaron Call, Xavier Teruel, Lorena Alonso, Ignasi Moran, Miguel Angel Perez, David Torrents, Josep Lluís Berral. 458-471 [doi]
• Optimizations for Very Long and Sparse Vector Operations on a RISC-V VPU: A Work-in-ProgressGopinath Mahale, Tejas Limbasiya, Muhammad Asad Aleem, Luis A. Plana, Aleksandar Duricic, Alireza Monemi, Xabier Abancens, Teresa Cervero, John D. Davis. 472-485 [doi]
• Performance Modelling-Driven Optimization of RISC-V Hardware for Efficient SpMVAlexandre Rodrigues, Leonel Sousa, Aleksandar Ilic. 486-499 [doi]
• Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital TwinsMarkus Fritscher, Alessandro Veronesi, Andrea Baroni, Jianan Wen, Thorsten Spätling, Mamathamba Kalishettyhalli Mahadevaiah, Norbert Herfurth, Eduardo Perez, Markus Ulbricht 0002, Marc Reichenbach, Amelie Hagelauer, Milos Krstic. 500-514 [doi]
• Optimization of the FFT Algorithm on RISC-V CPUsXiang Zhao, Xianyi Zhang, YiWei Zhang. 515-525 [doi]
• Software Development Vehicles to Enable Extended and Early Co-design: A RISC-V and HPC Case of StudyFilippo Mantovani, Pablo Vizcaino, Fabio Banchelli, Marta Garcia-Gasulla, Roger Ferrer, Georgios Ieronymakis, Nikolaos Dimou, Vassilis Papaefstathiou, Jesús Labarta. 526-537 [doi]
• Evaluation of HPC Workloads Running on Open-Source RISC-V HardwareLuc Berger-Vergiat, Suma George Cardwell, Ben Feinberg, Simon D. Hammond, Clayton Hughes, Michael J. Levenhagen, Kevin T. Pedretti. 538-551 [doi]
• Accelerating Neural Networks Using Open Standard Software on RISC-VKumudha Narasimhan, Mehdi Goli. 552-564 [doi]
• From Desktop to Supercomputer: Computational Fluid Dynamics Augmented by Molecular Dynamics Using MaMiCo and preCICELouis Viot, Yannick Piel, Philipp Neumann. 567-576 [doi]
• Open OnDemand Connector for Amazon Elastic Kubernetes Service (EKS)Faras Sadek, Milson Munakami, Arthur Barrett, Vesna Tan, Jeremy Guillette, Robert M. Freeman Jr., Raminder Singh. 577-586 [doi]
• GEMM-Like Convolution for Deep Learning Inference on the Xilinx VersalJie Lei, Héctor Martínez, José Flich, Enrique S. Quintana-Ortí. 593-604 [doi]
• An Investigation into the Performance and Portability of SYCL Compiler ImplementationsWageesha R. Shilpage, Steven A. Wright 0001. 605-619 [doi]
• Observed Memory Bandwidth and Power Usage on FPGA Platforms with OneAPI and Vitis HLS: A Comparison with GPUsChristopher M. Siefert, Stephen L. Olivier, Gwendolyn R. Voskuilen, Jeffrey Young 0001. 620-633 [doi]
• Evaluating Quantum Algorithms for Linear Solver WorkflowsSophia Kolak, Hamed Mohammadbagherpoor, Konstantis Daloukas, Kostas Kafousas, François-Henry Rouet, Yorgos Koutsoyannopoulos, Nathan Earnest-Noble, Robert F. Lucas. 634-647 [doi]
• Exploring the Use of Dataflow Architectures for Graph Neural Network WorkloadsRyien Hosseini, Filippo Simini, Venkatram Vishwanath, Ramakrishnan Sivakumar, Sanjif Shanmugavelu, Zhengyu Chen, Lev Zlotnik, Mingran Wang, Philip Colangelo, Andrew Deng, Philip Lassen, Shukur Pathan. 648-661 [doi]
• OpenACC Unified Programming Environment for Multi-hybrid Acceleration with GPU and FPGATaisuke Boku, Ryuta Tsunashima, Ryohei Kobayashi, Norihisa Fujita, Seyong Lee, Jeffrey S. Vetter, Hitoshi Murai, Masahiro Nakao, Miwako Tsuji, Mitsuhisa Sato. 662-674 [doi]