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ORCIDCLUSTER 2023: Santa Fe, NM, USA - Workshops
- IEEE International Conference on Cluster Computing, CLUSTER 2023 - Workshops, Santa Fe, NM, USA, October 31, 2023. IEEE 2023, ISBN 979-8-3503-7062-1
- Zheming Jin, Jeffrey S. Vetter:
Accelerating Hyperdimensional Classifier with SYCL. i-ii - Sohei Koyama, Kohei Hiraga, Osamu Tatebe
:
Accelerating I/O in Distributed Data Processing Systems with Apache Arrow CHFS. 1-4 - Arnav Borkar, Joel Tony, Hari Vamsi K. N, Tushar Barman, Yash Bhisikar, Sreenath T. M., Arnab K. Paul:
Does Varying BeeGFS Configuration Affect the I/O Performance of HPC Workloads? 5-7 - Adrian Jackson, Nicolau Manubens:
DAOS as HPC Storage: Exploring Interfaces. 8-10 - Osamu Tatebe, Kohei Hiraga, Hiroki Ohtsuji:
I/O-Aware Flushing for HPC Caching Filesystem. 11-17 - Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian M. Kunkel:
Mango-IO: I/O Metrics Consistency Analysis. 18-24 - Debasmita Biswas, Sarah Neuwirth, Arnab K. Paul, Ali Raza Butt:
An I/O Performance Evaluation of Varying CephFS Striping Patterns. 25-31 - William M. Jones, Craig S. Walker, Vivian E. Hafener, Warren D. Graham, Nathan DeBardeleben, Steven T. Senator:
Incorporating Staggered Planned Maintenance Reservations to Improve Performance in Computational Clusters. 32-36 - Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto:
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. 37-43 - Olga Kogiou, Hariharan Devarajan, Chen Wang, Weikuan Yu, Kathryn M. Mohror:
I/O characterization and performance evaluation of large-scale storage architectures for heterogeneous workloads. 44-45 - Si Chen, Simon Garcia De Gonzalo, Avani Wildani:
Few-shot HPC application runtime prediction. 46-47 - Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. 48-49 - Seoyoung An, Georgia Channing, Catherine D. Schuman, Michela Taufer:
VINARCH: A Visual Analytics Interactive Tool for Neural Network Archaeology. 50-51 - Carl Pearson, Christopher M. Siefert, Stephen L. Olivier, Andrey Prokopenko, Timothy J. Fuller, Jonathan J. Hu:
Latency and Bandwidth Microbenchmarks of Six US Department of Energy Systems in the Top500. 52-53 - Nigel Tan, Scott V. Luedtke, Michela Taufer, Brian J. Albright:
Efficient Particle Tracing for Scalable Kinetic Plasma Simulation Analysis. 54-55 - Sahil Tyagi, Martin Swany:
Accelerating Distributed ML Training via Selective Synchronization (Poster Abstract). 56-57 - Yuka Sano, Taisuke Boku, Mitsuhisa Sato, Miwako Tsuji, Norihisa Fujita, Ryohei Kobayashi:
Performance improvement by enhancing spatial parallelism on FPGA for HPC applications. 58-59 - Inmaculada Santamaria-Valenzuela, Rocío Carratalá-Sáez, Yuri Torres, Diego R. Llanos, Arturo González-Escribano:
Mappings and patterns to improve the triangular matrix product on distributed systems. 62-63 - Muhammad Usman, Sergio Iserte, Roger Ferrer, Antonio J. Peña:
OpenMP Offloading to DPU. 64-65 - Daniel Mishler, Jan Ciesko, Stephen Olivier, George Bosilca:
Performance Insights into Device-initiated RMA Using Kokkos Remote Spaces. 66-67 - Whit Schonbein, Tinotenda Matsika, Ryan E. Grant:
A Lightweight Network Traffic Prediction Method for SmartNICs. 68-69 - Frank Wanye, Wu-Chun Feng:
On the Multi-Dimensional Acceleration of Stochastic Blockmodeling for Community Detection. 70-71
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