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ORCID39th ISC 2024: Hamburg, Germany
- ISC High Performance 2024 Research Paper Proceedings (39th International Conference), Hamburg, Germany, May 12-16, 2024. Prometeus GmbH / IEEE 2024, ISBN 978-3-9826336-0-2
- Richard L. Graham, George Bosilca, Yong Qin, Bradley W. Settlemyer, Gilad Shainer, Craig B. Stunkel, Geoffroy Vallée, Brody Williams, Gerardo Cisneros-Stoianowski, Sebastian T. Ohlmann, Markus Rampp:
Optimizing Application Performance with BlueField: Accelerating Large-Message Blocking and Nonblocking Collective Operations. 1-12 - Alexey Tal, Martijn Marsman, Georg Kresse, Anton Anders, Samuel Rodríguez, Kyungjoo Kim, Alexander Kalinkin, Alexey Romanenko, Matthias Noack, Patrick Atkinson, Stefan Maintz:
Solving Millions of Eigenvectors in Large-Scale Quantum-Many-Body-Theory Computations. 1-11 - Ke Fan, Steve Petruzza, Thomas Gilray, Sidharth Kumar:
Configurable Algorithms for All-to-All Collectives. 1-12 - Ke Fan, Suraj Kesavan, Steve Petruzza, Sidharth Kumar:
TinyProf: Towards Continuous Performance Introspection through Scalable Parallel I/O. 1-12 - Max Xiaohang Zhao, Luk Burchard, Daniel Thilo Schroeder, Johannes Langguth, Xing Cai:
iPuma: High-Performance Sequence Alignment on the Graphcore IPU. 1-11 - Qilong Pan
, Sameh Abdulah, Marc G. Genton, David E. Keyes, Hatem Ltaief, Ying Sun:
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations. 1-12 - Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar:
Asynchronous Distributed Actor-Based Approach to Jaccard Similarity for Genome Comparisons. 1-11 - Suyash Tandon, Leopold Grinberg, Gheorghe-Teodor Bercea, Carlo Bertolli, Mark Olesen, Simone Bnà, Nicholas Malaya:
Porting HPC Applications to AMD Instinct™ MI300A using Unified Memory and OpenMP®. 1-9 - Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, J. Austin Ellis, Matthias Maiterth, Guojing Cong, Feiyi Wang, Prasanna Balaprakash:
Optimizing Distributed Training on Frontier for Large Language Models. 1-11 - Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele:
HPC-Coder: Modeling Parallel Programs using Large Language Models. 1-12 - Joel Ratsaby, Alexander Timashkov:
Multi-GPU Processing of Unstructured Data for Machine Learning. 1-8 - Yiltan Hassan Temuçin, Mahdieh Gazimirsaeed, Ryan E. Grant, Ahmad Afsahi:
ROCm-Aware Leader-based Designs for MPI Neighbourhood Collectives. 1-12 - Hyesun Hong, Lukas Sommer, Bongjun Kim, Mikhail Kashkarov, Kumudha Narasimhan, Ilya Veselov, Mehdi Goli, Jaeyeon Kim, Ruymán Reyes Castro, Hanwoong Jung:
Programming Model Extensions for General-Purpose Processing-In-Memory. 1-11 - Oleksiy M. Kozlov, Alexandros Stamatakis:
EcoFreq: Compute with Cheaper, Cleaner Energy via Carbon-Aware Power Scaling. 1-12 - Ranjan Sarpangala Venkatesh, Greg Eisenhauer, Norbert Podhorszki, Dmitry Ganyushin, Scott Klasky, Ada Gavrilovska:
Optimizing Metadata Exchange: Leveraging DAOS for ADIOS Metadata I/O. 1-12 - Philipp Seitz, Manuel Geiger, Christian B. Mendl:
Multithreaded Parallelism for Heterogeneous Clusters of QPUs. 1-8 - Christo Meriwether Keller, Stephan J. Eidenbenz, Andreas Bärtschi, Daniel O'Malley, John K. Golden, Satyajayant Misra:
Hierarchical Multigrid Ansatz for Variational Quantum Algorithms. 1-11 - Océane Koska, Marc Baboulin, Arnaud Gazda:
A Tree-Approach Pauli Decomposition Algorithm with Application to Quantum Computing. 1-11 - Xiaolong Deng, Stefan Pogorzalek, Florian Vigneau, Ping Yang, Martin Schulz, Laura Brandon Schulz:
Calibration and Performance Evaluation of a Superconducting Quantum Processor in an HPC Center. 1-9 - Daan Camps, Ermal Rrapaj, Katherine Klymko, Brian Austin, Nicholas J. Wright:
Evaluation of the Classical Hardware Requirements for Large-Scale Quantum Computations. 1-12 - Stefano Markidis:
What is Quantum Parallelism, Anyhow? 1-12 - Ermal Rrapaj, Sridutt Bhalachandra, Zhengji Zhao, Brian Austin, Hai Ah Nam, Nicholas J. Wright:
Power Consumption Trends in Supercomputers: A Study of NERSC's Cori and Perlmutter Machines. 1-10 - Qinghua Zhou, Bharath Ramesh, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters. 1-12 - Harsh Khetawat, Frank Mueller:
Workload Scheduling on Heterogeneous Devices. 1-11
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