SBAC-PAD

Keyphrases

Publications

2023

Kleber Kruger, Ricardo Pannain, Rodolfo Azevedo
Using Logging-on-Write to Improve Non-Volatile Memory Checkpoints via Processing-in-Memory. SBAC-PAD (2023)
Tirathraj Ramburn, Dhrubajyoti Goswami
Improving Fault Tolerance in Blockchain Sharding using One-to-Many Block-to-Shard Mapping. SBAC-PAD (2023)
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. SBAC-PAD (2023)
Jay F. Lofstead, Vinod E. F. Rebello
Message from the Program Committee Chairs. SBAC-PAD (2023)
Daniel Araújo de Medeiros, Jacob Wahlgren, Gabin Schieffer, Ivy Peng
Kub: Enabling Elastic HPC Workloads on Containerized Environments. SBAC-PAD (2023)
Ami Marowka
Toward Open Repository of Performance Portability of Applications, Benchmarks and Models. SBAC-PAD (2023)
Sairo R. dos Santos, Tiago Rodrigo Kepe, Marco A. Z. Alves
Improved Computation of Database Operators via Vector Processing Near-Data. SBAC-PAD (2023)
Tiago C. Ferreto, Dalvan Griebler, César A. F. De Rose
Message from the General Chairs. SBAC-PAD (2023)
Alejandro Cano, Cristóbal Camarero, Carmen Martínez, Ramón Beivide
Analysing Mechanisms for Virtual Channel Management in Low-Diameter Networks. SBAC-PAD (2023)
Adrian Khelili, Sophie Robert-Hayek, Soraya Zertal
Forecasting File Lifecycles for Intelligent Data Placement in Hierarchical Storage. SBAC-PAD (2023)
Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso
Exploiting the Potential of Flexible Processing Units. SBAC-PAD (2023)
Amit Puri, Kartheek Bellamkonda, Kailash Narreddy, John Jose, Tamarapalli Venkatesh
A Practical Approach For Workload-Aware Data Movement in Disaggregated Memory Systems. SBAC-PAD (2023)
Sasindu Wijeratne, Rajgopal Kannan, Viktor K. Prasanna
Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU. SBAC-PAD (2023)
S. Srinivasan, Arindam Khanda, S. Srinivasan, A. Pandey, Sajal K. Das, Sanjukta Bhowmick, Boyana Norris
A Distributed Algorithm for Identifying Strongly Connected Components on Incremental Graphs. SBAC-PAD (2023)
35th IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2023, Porto Alegre, Brazil, October 17-20, 2023 SBAC-PAD (2023)
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. SBAC-PAD (2023)
Igor Fontana De Nardin, Patricia Stolf, Stéphane Caux
BEASY: Making EASY Backfilling Renewable-Only. SBAC-PAD (2023)
Efthyvoulos Drousiotis, Alessandro Varsi, Paul G. Spirakis, Simon Maskell
A Shared Memory SMC Sampler for Decision Trees. SBAC-PAD (2023)
Luís Crespo, Pedro Tomás, Nuno Roma, Nuno Neves
Trading Performance, Power, and Area on Low-Precision Posit MAC Units for CNN Training. SBAC-PAD (2023)
Adrián Pérez Diéguez, Margarita Amor López
Performance Tuning for GPU-Embedded Systems: Machine-Learning-Based and Analytical Model-Driven Tuning Methodologies. SBAC-PAD (2023)
Bruno da Silva Alves, Lucas Mello Schnorr
Performance Modeling of MARE2DEM's Adaptive Mesh Refinement for Makespan Estimation. SBAC-PAD (2023)
Carlos H. S. Barbosa, Alvaro L. G. A. Coutinho
Reverse Time Migration with Lossy and Lossless Wavefield Compression. SBAC-PAD (2023)
Henrique S. Goulart, João Trombeta, Álvaro Franco, Odorico M. Mendizabal
Achieving Enhanced Performance Combining Checkpointing and Dynamic State Partitioning. SBAC-PAD (2023)
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. SBAC-PAD (2023)
Ali Oudrhiri, Emilien Taly, Nathan Bain, Alix Munier, Roberto Guizzetti, Pascal Urard
Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator. SBAC-PAD (2023)
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. SBAC-PAD (2023)

2022