| 2023 | Improving the Discovery and Clustering of Three-Dimensional Protein Patterns with OpenMP. | Alejandro Valds-Jimnez, Miguel Reyes-Parada, Gabriel Nez-Vivanco, Fabio Durn-Verdugo, Daniel Jimnez-Gonzlez |
| 2023 | Message from the General Chair WAMCA 2023. | Claude Tadonki |
| 2023 | A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs. | S. Srinivasan, Arindam Khanda, S. Srinivasan, Ashish Pandey, Sajal K. Das, Sanjukta Bhowmick, Boyana Norris |
| 2023 | Improved Computation of Database Operators via Vector Processing Near-Data. | Sairo R. dos Santos, Tiago Rodrigo Kepe, Marco A. Z. Alves |
| 2023 | WCSim: A Cloud Computing Simulator with Support for Bag of Tasks Workflows. | Maicon Anca dos Santos, Gabriel J. A. Grabher, Matheus F. Kovaleski, Cludio F. R. Geyer, Gerson Geraldo H. Cavalheiro |
| 2023 | Improving Fault Tolerance in Blockchain Sharding using One-to-Many Block-to-Shard Mapping. | Tirathraj Ramburn, Dhrubajyoti Goswami |
| 2023 | A Practical Approach For Workload-Aware Data Movement in Disaggregated Memory Systems. | Amit Puri, Kartheek Bellamkonda, Kailash Narreddy, John Jose, Tamarapalli Venkatesh |
| 2023 | Conceptual and Comparative Analysis of Application Metrics in Microservices. | Lucas Eduardo Gulka Pulcinelli, Diego Frazatto Pedroso, Sarita Mazzini Bruschi |
| 2023 | An Exploratory Study of Deep Learning for Predicting Computational Tasks Behavior in HPC Systems. | Alexandre H. L. Porto, Micaella Coelho, Kary A. C. S. Ocaa, Carla Osthoff, Francieli Boito, Douglas de O. Cardoso |
| 2023 | Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator. | Ali Oudrhiri, Emilien Taly, Nathan Bain, Alix Munier, Roberto Guizzetti, Pascal Urard |
| 2023 | PINNProv: Provenance for Physics-Informed Neural Networks. | Lyncoln S. de Oliveira, Liliane N. O. Kunstmann, Dbora B. Pina, Daniel de Oliveira, Marta Mattoso |
| 2023 | BEASY: Making EASY Backfilling Renewable-Only. | Igor Fontana De Nardin, Patricia Stolf, Stphane Caux |
| 2023 | A Performance Comparison of HPC Workloads on Traditional and Cloud-Based HPC Clusters. | Vanderlei Munhoz, Antoine Bonfils, Mrcio Castro, Odorico M. Mendizabal |
| 2023 | Kub: Enabling Elastic HPC Workloads on Containerized Environments. | Daniel Medeiros, Jacob Wahlgren, Gabin Schieffer, Ivy Peng |
| 2023 | A Preliminary Review of Function as a Service Platform Running with AWS Spot Instances. | Luciana da Costa Marques, Alfredo Goldman |
| 2023 | Toward Open Repository of Performance Portability of Applications, Benchmarks and Models. | Ami Marowka |
| 2023 | Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. | Ral Marichal, Ernesto Dufrechou, Pablo Ezzatti |
| 2023 | Evaluation Model and Performance Analysis of NIC Aggregations in Containerized Private Clouds. | Anderson M. Maliszewski, Dalvan Griebler, Eduardo Roloff, Rodrigo da Rosa Righi, Philippe O. A. Navaux |
| 2023 | A Source-to-Source NUMA Profiling Approach. | Leticia S. F. Machado, Claude Tadonki, Hermes Senger |
| 2023 | Harnessing Cloud Computing for Geophysical Exploration. | Rodrigo C. Machado, Cristiano A. Knas, Arthur Francisco Lorenzon, Alexandre Carissimi, Philippe O. A. Navaux |
| 2023 | Message from the Program Committee Chairs. | Jay F. Lofstead, Vinod E. F. Rebello |
| 2023 | NeurOPar, A Neural Network-Driven EDP Optimization Strategy for Parallel Workloads. | Cristiano A. Knas, Fbio D. Rossi, Marcelo Caggiani Luizelli, Rodrigo N. Calheiros, Philippe O. A. Navaux, Arthur Francisco Lorenzon |
| 2023 | Using Logging-on-Write to Improve Non-Volatile Memory Checkpoints via Processing-in-Memory. | Kleber Kruger, Ricardo Pannain, Rodolfo Azevedo |
| 2023 | Forecasting File Lifecycles for Intelligent Data Placement in Hierarchical Storage. | Adrian Khelili, Sophie Robert-Hayek, Soraya Zertal |
| 2023 | Analyzing C++ Stream Parallelism in Shared-Memory when Porting to Flink and Storm. | Renato B. Hoffmann, Leonardo G. Fa, Isabel H. Manssour, Dalvan Griebler |