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ORCID35th SBAC-PAD 2023: Porto Alegre, Brazil
- 35th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2023, Porto Alegre, Brazil, October 17-20, 2023. IEEE 2023, ISBN 979-8-3503-0548-7
- Jay F. Lofstead, Vinod E. F. Rebello:
Message from the Program Committee Chairs. x-xi - Tiago C. Ferreto, Dalvan Griebler
, César A. F. De Rose:
Message from the General Chairs. ix - Sairo R. dos Santos, Tiago Rodrigo Kepe, Marco A. Z. Alves:
Improved Computation of Database Operators via Vector Processing Near-Data. 1-11 - Alejandro Cano, Cristóbal Camarero, Carmen Martínez, Ramón Beivide:
Analysing Mechanisms for Virtual Channel Management in Low-Diameter Networks. 12-22 - Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna:
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. 23-33 - Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso:
Exploiting the Potential of Flexible Processing Units. 34-45 - Luís Crespo, Pedro Tomás, Nuno Roma, Nuno Neves:
Trading Performance, Power, and Area on Low-Precision Posit MAC Units for CNN Training. 46-56 - Igor Fontana De Nardin, Patricia Stolf, Stéphane Caux:
BEASY: Making EASY Backfilling Renewable-Only. 57-67 - Kleber Kruger, Ricardo Pannain, Rodolfo Azevedo:
Using Logging-on-Write to Improve Non-Volatile Memory Checkpoints via Processing-in-Memory. 68-77 - Amit Puri, Kartheek Bellamkonda, Kailash Narreddy, John Jose, Tamarapalli Venkatesh:
A Practical Approach For Workload-Aware Data Movement in Disaggregated Memory Systems. 78-88 - Ali Oudrhiri, Emilien Taly, Nathan Bain, Alix Munier, Roberto Guizzetti, Pascal Urard:
Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator. 89-97 - Tirathraj Ramburn, Dhrubajyoti Goswami:
Improving Fault Tolerance in Blockchain Sharding using One-to-Many Block-to-Shard Mapping. 98-108 - S. Srinivasan, Arindam Khanda, S. Srinivasan, Ashish Pandey, Sajal K. Das, Sanjukta Bhowmick, Boyana Norris:
A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs. 109-118 - Bruno da Silva Alves, Lucas Mello Schnorr:
Performance Modeling of MARE2DEM's Adaptive Mesh Refinement for Makespan Estimation. 119-128 - Adrián Pérez Diéguez, Margarita Amor López:
Performance Tuning for GPU-Embedded Systems: Machine-Learning-Based and Analytical Model-Driven Tuning Methodologies. 129-140 - Manuel Costanzo, Enzo Rucci, Carlos García Sánchez, Marcelo R. Naiouf, Manuel Prieto-Matías:
Comparing Performance and Portability Between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs. 141-148 - Henrique S. Goulart, João Trombeta, Álvaro Franco, Odorico M. Mendizabal:
Achieving Enhanced Performance Combining Checkpointing and Dynamic State Partitioning. 149-159 - Ami Marowka:
Toward Open Repository of Performance Portability of Applications, Benchmarks and Models. 160-169 - Cristiano A. Künas, Fábio D. Rossi, Marcelo Caggiani Luizelli, Rodrigo N. Calheiros, Philippe O. A. Navaux, Arthur Francisco Lorenzon:
NeurOPar, A Neural Network-Driven EDP Optimization Strategy for Parallel Workloads. 170-180 - Adrian Khelili, Sophie Robert-Hayek, Soraya Zertal:
Forecasting File Lifecycles for Intelligent Data Placement in Hierarchical Storage. 181-191 - Carlos H. S. Barbosa, Alvaro L. G. A. Coutinho:
Reverse Time Migration with Lossy and Lossless Wavefield Compression. 192-201 - Alejandro Valdés-Jiménez, Miguel Reyes-Parada, Gabriel Núñez-Vivanco, Fabio Durán-Verdugo, Daniel Jiménez-González:
Improving the Discovery and Clustering of Three-Dimensional Protein Patterns with OpenMP. 202-208 - Efthyvoulos Drousiotis, Alessandro Varsi, Paul G. Spirakis, Simon Maskell:
A Shared Memory SMC Sampler for Decision Trees. 209-218 - Daniel Medeiros, Jacob Wahlgren, Gabin Schieffer, Ivy Peng:
Kub: Enabling Elastic HPC Workloads on Containerized Environments. 219-229 - Maicon Anca dos Santos, Gabriel J. A. Grabher, Matheus F. Kovaleski, Cláudio F. R. Geyer, Gerson Geraldo H. Cavalheiro:
WCSim: A Cloud Computing Simulator with Support for Bag of Tasks Workflows. 230-241
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