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2020 – today
- 2024
[j28]Rafael Keller Tesser
, Alvaro Marques, Edson Borin:
A lightweight performance proxy for deep-learning model training on Amazon SageMaker. Concurr. Comput. Pract. Exp. 36(14) (2024)- [j27]Otávio Oliveira Napoli, Ana Maria de Almeida, Edson Borin, Maurício Breternitz:
Memory-efficient DRASiW Models. Neurocomputing 610: 128443 (2024) - [j26]Antonio Guimarães, Edson Borin, Diego F. Aranha:
MOSFHET: Optimized Software for FHE over the Torus. J. Cryptogr. Eng. 14(3): 577-593 (2024) - [j25]Michael Canesche, Vanderson Martins do Rosário, Edson Borin, Fernando Magno Quintão Pereira:
The Droplet Search Algorithm for Kernel Scheduling. ACM Trans. Archit. Code Optim. 21(2): 35 (2024) - [j24]Vinicius Atsushi Sato Kawai, Lucas Pascotti Valem, Alexandro Baldassin, Edson Borin, Daniel Carlos Guimarães Pedronette, Longin Jan Latecki:
Rank-based Hashing for Effective and Efficient Nearest Neighbor Search for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(10): 329:1-329:19 (2024) - [i8]Leonardo Neumann, Antonio Guimarães, Diego F. Aranha, Edson Borin:
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data. CoRR abs/2403.20190 (2024) - 2023
- [j23]Fabíola Martins Campos de Oliveira, Luiz Fernando Bittencourt, Carlos Alberto Kamienski, Edson Borin:
PANCODE: Multilevel Partitioning of Neural Networks for Constrained Internet-of-Things Devices. IEEE Access 11: 2058-2077 (2023) - [j22]Vanderson Martins do Rosario, Anderson Faustino da Silva, André Felipe Zanella, Otávio Oliveira Napoli, Edson Borin:
Fast selection of compiler optimizations using performance prediction with graph neural networks. Concurr. Comput. Pract. Exp. 35(17) (2023) - [j21]Thais Aparecida Silva Camacho, Vanderson Martins do Rosario, Otávio Oliveira Napoli, Edson Borin:
PB3Opt: Profile-based biased Bayesian optimization to select computing clusters on the cloud. Concurr. Comput. Pract. Exp. 35(18) (2023) - [j20]Rafael Keller Tesser, Edson Borin:
Containers in HPC: a survey. J. Supercomput. 79(5): 5759-5827 (2023) - [c60]Otávio Oliveira Napoli, Ana Maria de Almeida, José Miguel Sales Dias, Luís Brás Rosário, Edson Borin, Maurício Breternitz Jr.:
Efficient Knowledge Aggregation Methods for Weightless Neural Networks. ESANN 2023 - [c59]Roberto Rodrigues Filho, Renato S. Dias, João Seródio, Barry Porter, Fábio M. Costa, Edson Borin, Luiz F. Bittencourt:
A Self-Distributing System Framework for the Computing Continuum. ICCCN 2023: 1-10 - [c58]Nícolas Hecker, Otávio Oliveira Napoli, Carlos A. Astudillo, João Paulo Navarro, Alan Souza, Daniel Miranda, Leandro A. Villas, Edson Borin:
Computing seismic attributes with deep-learning models. SBAC-PADW 2023: 31-35 - 2022
- [j19]Rafael F. Schmid, Flávia Pisani, Edson Norberto Cáceres, Edson Borin:
An evaluation of fast segmented sorting implementations on GPUs. Parallel Comput. 110: 102889 (2022) - [j18]Anderson Faustino da Silva, Edson Borin, Fernando Magno Quintão Pereira, Nilton Luiz Queiroz Junior, Otávio Oliveira Napoli:
Program representations for predictive compilation: State of affairs in the early 20's. J. Comput. Lang. 73: 101171 (2022) - [c57]Antonio Guimarães, Leonardo Neumann, Fernanda A. Andaló, Diego F. Aranha, Edson Borin:
Homomorphic evaluation of large look-up tables for inference on human genome data in the cloud. SBAC-PADW 2022: 33-38 - [i7]Antonio Guimarães, Edson Borin, Diego F. Aranha:
MOSFHET: Optimized Software for FHE over the Torus. IACR Cryptol. ePrint Arch. 2022: 515 (2022) - 2021
- [j17]Antonio Guimarães, Luis Lacalle, Charles B. Rodamilans, Edson Borin:
High-performance IO for seismic processing on the cloud. Concurr. Comput. Pract. Exp. 33(18) (2021) - [j16]Vanderson Martins do Rosario, Anderson Faustino da Silva, Thais Aparecida Silva Camacho, Otávio Oliveira Napoli, Maurício Breternitz, Edson Borin:
Smart selection of optimizations in dynamic compilers. Concurr. Comput. Pract. Exp. 33(18) (2021) - [j15]Vanderson Martins do Rosario, Maurício Breternitz Jr., Edson Borin:
Efficiency and scalability of multi-lane capsule networks (MLCN). J. Parallel Distributed Comput. 155: 63-73 (2021) - [j14]Antonio Guimarães, Edson Borin, Diego F. Aranha:
Revisiting the functional bootstrap in TFHE. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(2): 229-253 (2021) - [c56]Rafael Keller Tesser, Alvaro Marques, Edson Borin:
Selecting efficient VM types to train deep learning models on Amazon SageMaker. SBAC-PAD (Workshops) 2021: 20-27 - [c55]Otávio Oliveira Napoli, Gustavo Ciotto Pinton, Edson Borin:
CLAP-Bot: a framework for automatic optimization of high-performance elastic applications on the Clouds. SBAC-PAD (Workshops) 2021: 28-34 - [c54]William F. C. Tavares, Marcio Roberto Miranda Assis, Edson Borin:
Quantifying and detecting HPC resource wastage in cloud environments. SBAC-PAD (Workshops) 2021: 41-46 - [c53]Vanderson Martins do Rosario, Raphael Zinsly, Sandro Rigo, Edson Borin:
Employing Simulation to Facilitate the Design of Dynamic Binary Translators. SBAC-PAD 2021: 104-113 - [c52]Anderson Faustino da Silva, Edson Borin, Fernando Magno Quintão Pereira, Otávio Oliveira Napoli, Vanderson Martins do Rosário:
New Optimization Sequences for Code-Size Reduction for the LLVM Compilation Infrastructure. SBLP 2021: 33-40 - [c51]William F. C. Tavares, Marcio R. M. Assis, Edson Borin:
Leveraging vCPU-utilization rates to select cost-efficient VMs for parallel workloads. UCC 2021: 21:1-21:10 - 2020
- [j13]Flávia Pisani, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.:
A unified model for accelerating unsupervised iterative re-ranking algorithms. Concurr. Comput. Pract. Exp. 32(14) (2020) - [c50]Flávia Pisani, Edson Borin:
Leveraging Constrained Devices for Custom Code Execution in the Internet of Things. SBRC Companion 2020: 145-152 - [p1]Flávia Pisani, Fabíola Martins Campos de Oliveira, Eduardo S. Gama, Roger Immich, Luiz F. Bittencourt, Edson Borin:
Fog Computing on Constrained Devices: Paving the Way for the Future IoT. Advances in Edge Computing 2020: 22-60 - [i6]Flavia Pisani, Fabíola Martins Campos de Oliveira, Eduardo S. Gama, Roger Immich, Luiz F. Bittencourt, Edson Borin:
Fog Computing on Constrained Devices: Paving the Way for the Future IoT. CoRR abs/2002.05300 (2020) - [i5]Vanderson Martins do Rosário, Thais Aparecida Silva Camacho, Otávio Oliveira Napoli, Edson Borin:
Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads. CoRR abs/2006.15481 (2020) - [i4]Otávio Oliveira Napoli, Vanderson Martins do Rosario, João Paulo Navarro, Pedro Mário Cruz e Silva, Edson Borin:
Accelerating Multi-attribute Unsupervised Seismic Facies Analysis With RAPIDS. CoRR abs/2007.15152 (2020) - [i3]Vanderson Martins do Rosario, Raphael Moreira Zinsly, Sandro Rigo, Edson Borin:
Employing Simulation to Facilitate the Design of Dynamic Code Generators. CoRR abs/2008.13240 (2020)
2010 – 2019
- 2019
- [j12]Antonio Guimarães, Diego de Freitas Aranha, Edson Borin:
Optimized implementation of QC-MDPC code-based cryptography. Concurr. Comput. Pract. Exp. 31(18) (2019) - [j11]Flávia Pisani, Vanderson Martins do Rosario, Edson Borin:
Fog vs. Cloud Computing: Should I Stay or Should I Go? Future Internet 11(2): 34 (2019) - [j10]Fabíola Martins Campos de Oliveira, Edson Borin:
Partitioning Convolutional Neural Networks to Maximize the Inference Rate on Constrained IoT Devices. Future Internet 11(10): 209 (2019) - [j9]Vanderson Martins do Rosario, Edson Borin, Maurício Breternitz:
The Multi-Lane Capsule Network. IEEE Signal Process. Lett. 26(7): 1006-1010 (2019) - [c49]Antonio Guimarães, Edson Borin, Diego de Freitas Aranha:
Introducing Arithmetic Failures to Accelerate QC-MDPC Code-Based Cryptography. CBC 2019: 44-68 - [c48]Vanderson Martins do Rosário, Maurício Breternitz, Edson Borin:
Efficiency and Scalability of Multi-lane Capsule Networks (MLCN). SBAC-PAD 2019: 152-159 - [c47]João Antonio Magri Rodrigues, Fabíola Martins Campos de Oliveira, Renata Spolon Lobato, Roberta Spolon Ulson, Aleardo Manacero, Edson Borin:
Improving Virtual Machine Consolidation for Heterogeneous Cloud Computing Datacenters. SBAC-PAD 2019: 176-179 - [c46]Eva Maia Malta, Sandra Avila, Edson Borin:
Exploring the Cost-benefit of AWS EC2 GPU Instances for Deep Learning Applications. UCC 2019: 21-29 - [c45]Jeferson Rech Brunetta, Edson Borin:
Selecting Efficient Cloud Resources for HPC Workloads. UCC 2019: 155-164 - [i2]Vanderson Martins do Rosario, Edson Borin, Maurício Breternitz Jr.:
The Multi-Lane Capsule Network (MLCN). CoRR abs/1902.08431 (2019) - [i1]Vanderson Martins do Rosário, Maurício Breternitz Jr., Edson Borin:
Efficiency and Scalability of Multi-Lane Capsule Networks (MLCN). CoRR abs/1908.03935 (2019) - 2018
- [j8]Lúcia M. A. Drummond, Edson Borin:
Special issue on Computer Architecture and High Performance Computing. J. Parallel Distributed Comput. 120: 195 (2018) - [c44]Flávia Pisani, Edson Borin:
Fog vs. cloud computing: should i stay or should i go? INTESA@ESWEEK 2018: 27-32 - [c43]Tiago Lobato Gimenes, Flavia Pisani, Edson Borin:
Evaluating the Performance and Cost of Accelerating Seismic Processing with CUDA, OpenCL, OpenACC, and OpenMP. IPDPS 2018: 399-408 - [c42]Vanderson Martins do Rosario, Flavia Pisani, Alexandre Rodrigues Gomes, Edson Borin:
Fog-Assisted Translation: Towards Efficient Software Emulation on Heterogeneous IoT Devices. IPDPS Workshops 2018: 1268-1277 - [c41]José Nelson Amaral, Edson Borin, Dylan R. Ashley, Caian Benedicto, Elliot Colp, Joao Henrique Stange Hoffmam, Marcus Karpoff, Erick Ochoa, Morgan Redshaw, Raphael Ernani Rodrigues:
The Alberta Workloads for the SPEC CPU 2017 Benchmark Suite. ISPASS 2018: 159-168 - [c40]Fabíola Martins Campos de Oliveira, Edson Borin:
Partitioning Convolutional Neural Networks for Inference on Constrained Internet-of-Things Devices. SBAC-PAD 2018: 266-273 - [c39]Nicholas T. Okita, Tiago A. Coimbra, Charles B. Rodamilans, Martin Tygel, Edson Borin:
Automatic Minimization of Execution Budgets of SPITS Programs in AWS. WSCAD (Selected Papers) 2018: 21-36 - [c38]Nicholas T. Okita, Charles B. Rodamilans, Tiago A. Coimbra, Martin Tygel, Edson Borin:
Automatic Minimization of Execution Costs of SPITS Programs in AWS. WSCAD 2018: 101-107 - [c37]Leandro Lupori, Vanderson Martins do Rosario, Edson Borin:
High-Performance RISC-V Emulation. WSCAD (Selected Papers) 2018: 135-151 - [c36]Otávio Oliveira Napoli, Vanderson Martins do Rosario, Diego de Freitas Aranha, Edson Borin:
Evaluation and Mitigation of Timing Side-Channel Leakages on Multiple-Target Dynamic Binary Translators. WSCAD (Selected Papers) 2018: 152-167 - [c35]Otávio Oliveira Napoli, Vanderson Martins do Rosário, Diego de Freitas Aranha, Edson Borin:
Evaluation of Timing Side-Channel Leakage on a Multiple-Target Dynamic Binary Translator. WSCAD 2018: 198-204 - [c34]Vanderson Martins do Rosário, Mario Mikio Hato, Rodolfo Azevedo, Edson Borin:
A Methodology for Optimization of Interpreters. WSCAD 2018: 205-212 - [c33]Leandro Lupori, Vanderson Martins do Rosário, Edson Borin:
Towards a High-Performance RISC-V Emulator. WSCAD 2018: 213-220 - 2017
- [j7]Rafael Auler, Carlos Eduardo Millani, Alexandre Brisighello, Alisson Linhares, Edson Borin:
Handling IoT platform heterogeneity with COISA, a compact OpenISA virtual platform. Concurr. Comput. Pract. Exp. 29(22) (2017) - [j6]Flavia Pisani, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin:
Contextual Spaces Re-Ranking: accelerating the Re-sort Ranked Lists step on heterogeneous systems. Concurr. Comput. Pract. Exp. 29(22) (2017) - [c32]Matthias Diener, Eduardo H. M. Cruz, Marco A. Z. Alves, Edson Borin, Philippe O. A. Navaux:
Optimizing memory affinity with a hybrid compiler/OS approach. Conf. Computing Frontiers 2017: 221-229 - [c31]Flavia Pisani, Jeferson Rech Brunetta, Vanderson Martins do Rosario, Edson Borin:
Beyond the Fog: Bringing Cross-Platform Code Execution to Constrained IoT Devices. SBAC-PAD 2017: 17-24 - [c30]Rafael Auler, Edson Borin:
The Case for Flexible ISAs: Unleashing Hardware and Software. SBAC-PAD 2017: 65-72 - 2016
- [c29]Rafael F. Schmid, Flavia Pisani, Edson Borin, Edson Cáceres:
An Evaluation of Segmented Sorting Strategies on GPUs. HPCC/SmartCity/DSS 2016: 1123-1130 - [c28]Edson Borin, Caian Benedicto, Ian L. Rodrigues, Flavia Pisani, Martin Tygel, Maurício Breternitz:
PY-PITS: A Scalable Python Runtime System for the Computation of Partially Idempotent Tasks. SBAC-PAD (Workshops) 2016: 7-12 - [c27]Hércules Cardoso da Silva, Flavia Pisani, Edson Borin:
A Comparative Study of SYCL, OpenCL, and OpenMP. SBAC-PAD (Workshops) 2016: 61-66 - 2015
- [j5]Edson Borin, Philippe R. B. Devloo, Gilvan S. Vieira, Nathan Shauer:
Accelerating engineering software on modern multi-core processors. Adv. Eng. Softw. 84: 77-84 (2015) - [c26]Bruno Cardoso Lopes, Rafael Auler, Luiz Ramos, Edson Borin, Rodolfo Azevedo:
SHRINK: reducing the ISA complexity via instruction recycling. ISCA 2015: 311-322 - [c25]Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Jurandy Almeida:
Effective, Efficient, and Scalable Unsupervised Distance Learning in Image Retrieval Tasks. ICMR 2015: 51-58 - [c24]Alexandro Baldassin, Edson Borin, Guido Araujo:
Performance implications of dynamic memory allocators on transactional memory systems. PPoPP 2015: 87-96 - 2014
- [j4]Edson Borin, Guido Araujo, Maurício Breternitz Jr., Youfeng Wu:
Microcode Compression Using Structured-Constrained Clustering. Int. J. Parallel Program. 42(1): 140-164 (2014) - [c23]Guilherme Piccoli, Henrique Nazaré Santos, Raphael Ernani Rodrigues, Christiane Pousa, Edson Borin, Fernando Magno Quintão Pereira:
Compiler support for selective page migration in NUMA architectures. PACT 2014: 369-380 - [c22]Rafael Auler, Edson Borin, Peli de Halleux, Michal Moskal, Nikolai Tillmann:
Addressing JavaScript JIT Engines Performance Quirks: A Crowdsourced Adaptive Compiler. CC 2014: 218-237 - [c21]João Moreira, Lucas Teixeira, Edson Borin, Sandro Rigo:
Leveraging Optimization Methods for Dynamically Assisted Control-Flow Integrity Mechanisms. SBAC-PAD 2014: 49-56 - [c20]Gabriel Krisman Bertazi, Anderson Faustino da Silva, Edson Borin:
A Hybrid Framework to Accelerate Adaptive Compilation Systems. SBLP 2014: 139-144 - 2013
- [j3]Marcelo Guedes, Rafael Auler, Liana Dessandre Duenha, Edson Borin, Rodolfo Azevedo:
An automatic energy consumption characterization of processors using ArchC. J. Syst. Archit. 59(8): 603-614 (2013) - [c19]Divino Cesar S. Lucas, Rafael Auler, Rafael Dalibera, Sandro Rigo, Edson Borin, Guido Araujo:
Modeling virtual machines misprediction overhead. IISWC 2013: 153-162 - [c18]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.:
Image Re-ranking Acceleration on GPUs. SBAC-PAD 2013: 176-183 - [c17]Leonardo Piga, Gabriel F. T. Gomes, Rafael Auler, Bruno Rosa, Sandro Rigo, Edson Borin:
Assessing computer performance with stocs. ICPE 2013: 315-318 - 2012
- [c16]Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres, Edson Borin, Maurício Breternitz Jr.:
Efficient Image Re-Ranking Computation on GPUs. ISPA 2012: 95-102 - [c15]Marcelo Guedes, Rafael Auler, Edson Borin, Rodolfo Azevedo:
An ArchC approach for automatic energy consumption characterization of processors. RSP 2012: 57-63 - [c14]Rafael Auler, Paulo Centoducatte, Edson Borin:
ACCGen: An Automatic ArchC Compiler Generator. SBAC-PAD 2012: 278-285 - [c13]Raphael Moreira Zinsly, Sandro Rigo, Edson Borin:
Compressing Variable-Length Instruction Traces. WSCAD-SSC 2012: 103-109 - [c12]Divino Cesar S. Lucas, Guido Araujo, Edson Borin:
Exploring Dynamic Program Behavior with Frames and Phases. WSCAD-SSC 2012: 118-125 - [c11]Gabriel F. T. Gomes, Edson Borin:
A Database for Reproducible Computational Research. WSCAD-SSC 2012: 141-147 - 2011
- [c10]Edson Borin, Youfeng Wu, Maurício Breternitz Jr., Cheng Wang:
LAR-CC: Large atomic regions with conditional commits. CGO 2011: 54-63 - [c9]Youfeng Wu, Shiliang Hu, Edson Borin, Cheng Wang:
A HW/SW co-designed heterogeneous multi-core virtual machine for energy-efficient general purpose computing. CGO 2011: 236-245 - [c8]Edson Borin, Guido Araujo, Maurício Breternitz Jr., Youfeng Wu:
Structure-Constrained Microcode Compression. SBAC-PAD 2011: 104-111 - 2010
- [c7]Edson Borin, Youfeng Wu, Cheng Wang, Wei Liu, Maurício Breternitz Jr., Shiliang Hu, Esfir Natanzon, Shai Rotem, Roni Rosner:
TAO: two-level atomicity for dynamic binary optimizations. CGO 2010: 12-21 - [c6]João Paulo Porto, Guido Araujo, Edson Borin, Youfeng Wu:
Trace Execution Automata in Dynamic Binary Translation. ISCA Workshops 2010: 99-116
2000 – 2009
- 2009
- [c5]Cheng Wang, Youfeng Wu, Edson Borin, Shiliang Hu, Wei Liu, Dave Sager, Tin-Fook Ngai, Jesse Fang:
Dynamic parallelization of single-threaded binary programs using speculative slicing. ICS 2009: 158-168 - [c4]Edson Borin, Youfeng Wu:
Characterization of DBT overhead. IISWC 2009: 178-187 - 2007
- [b1]Edson Borin:
Microcode compression algorithms. University of Campinas, Brazil, 2007 - 2006
- [c3]Edson Borin, Cheng Wang, Youfeng Wu, Guido Araujo:
Software-Based Transparent and Comprehensive Control-Flow Error Detection. CGO 2006: 333-345 - [c2]Edson Borin, Maurício Breternitz Jr., Youfeng Wu, Guido Araujo:
Clustering-Based Microcode Compression. ICCD 2006: 189-196 - 2005
- [j2]Edson Borin, Cheng Wang, Youfeng Wu, Guido Araujo:
Dynamic binary control-flow errors detection. SIGARCH Comput. Archit. News 33(5): 15-20 (2005) - [j1]Nahri Moreano, Edson Borin, Cid C. de Souza, Guido Araujo:
Efficient datapath merging for partially reconfigurable architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 24(7): 969-980 (2005) - 2004
- [c1]Edson Borin, Felipe Klein, Nahri Moreano, Rodolfo Azevedo, Guido Araujo:
Fast instruction set custornization. ESTIMedia 2004: 53-58
Coauthor Index
Maurício Breternitz
aka: Maurício Breternitz Jr.
aka: Maurício Breternitz Jr.
Flávia Pisani
aka: Flavia Pisani
aka: Flavia Pisani
Vanderson Martins do Rosário
aka: Vanderson Martins do Rosario
aka: Vanderson Martins do Rosario
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