| 2023 | 35th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2023, Porto Alegre, Brazil, October 17-20, 2023 |
| 2023 | A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs. S. Srinivasan, Arindam Khanda, Ashish Pandey, Sajal K. Das, Sanjukta Bhowmick, Boyana Norris |
| 2023 | A Practical Approach For Workload-Aware Data Movement in Disaggregated Memory Systems. Amit Puri, Kartheek Bellamkonda, Kailash Narreddy, John Jose, Tamarapalli Venkatesh |
| 2023 | A Shared Memory SMC Sampler for Decision Trees. Efthyvoulos Drousiotis, Alessandro Varsi, Paul G. Spirakis, Simon Maskell |
| 2023 | Achieving Enhanced Performance Combining Checkpointing and Dynamic State Partitioning. Henrique S. Goulart, João Trombeta, Álvaro Franco, Odorico M. Mendizabal |
| 2023 | Analysing Mechanisms for Virtual Channel Management in Low-Diameter Networks. Alejandro Cano, Cristóbal Camarero, Carmen Martínez, Ramón Beivide |
| 2023 | BEASY: Making EASY Backfilling Renewable-Only. Igor Fontana De Nardin, Patricia Stolf, Stéphane Caux |
| 2023 | Comparing Performance and Portability Between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs. Manuel Costanzo, Enzo Rucci, Carlos García Sánchez, Marcelo R. Naiouf, Manuel Prieto-Matías |
| 2023 | Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna |
| 2023 | Exploiting the Potential of Flexible Processing Units. Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso |
| 2023 | Forecasting File Lifecycles for Intelligent Data Placement in Hierarchical Storage. Adrian Khelili, Sophie Robert-Hayek, Soraya Zertal |
| 2023 | Improved Computation of Database Operators via Vector Processing Near-Data. Sairo R. dos Santos, Tiago Rodrigo Kepe, Marco A. Z. Alves |
| 2023 | Improving Fault Tolerance in Blockchain Sharding using One-to-Many Block-to-Shard Mapping. Tirathraj Ramburn, Dhrubajyoti Goswami |
| 2023 | Improving the Discovery and Clustering of Three-Dimensional Protein Patterns with OpenMP. Alejandro Valdés-Jiménez, Miguel Reyes-Parada, Gabriel Núñez-Vivanco, Fabio Durán-Verdugo, Daniel Jiménez-González |
| 2023 | Kub: Enabling Elastic HPC Workloads on Containerized Environments. Daniel Medeiros, Jacob Wahlgren, Gabin Schieffer, Ivy Peng |
| 2023 | Message from the General Chairs. Tiago C. Ferreto, Dalvan Griebler, César A. F. De Rose |
| 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. Künas, Fábio D. Rossi, Marcelo Caggiani Luizelli, Rodrigo N. Calheiros, Philippe O. A. Navaux, Arthur Francisco Lorenzon |
| 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 | Performance Modeling of MARE2DEM's Adaptive Mesh Refinement for Makespan Estimation. Bruno da Silva Alves, Lucas Mello Schnorr |
| 2023 | Performance Tuning for GPU-Embedded Systems: Machine-Learning-Based and Analytical Model-Driven Tuning Methodologies. Adrián Pérez Diéguez, Margarita Amor López |
| 2023 | Reverse Time Migration with Lossy and Lossless Wavefield Compression. Carlos H. S. Barbosa, Alvaro L. G. A. Coutinho |
| 2023 | Toward Open Repository of Performance Portability of Applications, Benchmarks and Models. Ami Marowka |
| 2023 | Trading Performance, Power, and Area on Low-Precision Posit MAC Units for CNN Training. Luís Crespo, Pedro Tomás, Nuno Roma, Nuno Neves |
| 2023 | Using Logging-on-Write to Improve Non-Volatile Memory Checkpoints via Processing-in-Memory. Kleber Kruger, Ricardo Pannain, Rodolfo Azevedo |
| 2023 | WCSim: A Cloud Computing Simulator with Support for Bag of Tasks Workflows. Maicon Anca dos Santos, Gabriel J. A. Grabher, Matheus F. Kovaleski, Cláudio F. R. Geyer, Gerson Geraldo H. Cavalheiro |