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Pedro Tomás
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2020 – today
- 2024
- [j28]João Vieira
, Nuno Roma
NDPmulator: Enabling Full-System Simulation for Near-Data Accelerators From Caches to DRAM. IEEE Access 12: 10349-10365 (2024) - [j27]João Vieira
gem5-accel: A Pre-RTL Simulation Toolchain for Accelerator Architecture Validation. IEEE Comput. Archit. Lett. 23(1): 1-4 (2024) - [c50]Amir Javadpour, Forough Ja'fari, Tarik Taleb, Chafika Benzaïd, Luís Rosa, Pedro Tomás, Luís Cordeiro:
Deploying Testbed Docker-based application for Encryption as a Service in Kubernetes. SoftCOM 2024: 1-7 - 2023
- [j26]João Guerreiro
Super-resolution of magnetic resonance images using Generative Adversarial Networks. Comput. Medical Imaging Graph. 108: 102280 (2023) - [c49]Joao Mario Domingos, Tiago Rocha, Nuno Neves
Supporting RISC-V Performance Counters Through Linux Performance Analysis Tools. ASAP 2023: 94-101 - [c48]Gonçalo Falcão, Armando M. Fernandes, Nuno C. Garcia, Helena Aidos
Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes. EUSIPCO 2023: 1370-1374 - [c47]Luís Crespo, Pedro Tomás
Trading Performance, Power, and Area on Low-Precision Posit MAC Units for CNN Training. SBAC-PAD 2023: 46-56 - 2022
- [j25]Francisco Mendes, Pedro Tomás
Decoupling GPGPU voltage-frequency scaling for deep-learning applications. J. Parallel Distributed Comput. 165: 32-51 (2022) - [j24]Nuno Neves
Compiling for Vector Extensions With Stream-Based Specialization. IEEE Micro 42(5): 49-58 (2022) - [j23]Luís Crespo
Unified Posit/IEEE-754 Vector MAC Unit for Transprecision Computing. IEEE Trans. Circuits Syst. II Express Briefs 69(5): 2478-2482 (2022) - [c46]George Margetis, Barbara Valera-Muros
Validation of NFV management and orchestration on Kubernetes-based 5G testbed environment. GLOBECOM (Workshops) 2022: 844-849 - [c45]Martim Rosado
Early prototyping and testing of CERN LHC CMS high-granularity calorimeter slow-control system. RSP 2022: 36-42 - [c44]João Vieira, Nuno Roma
gem5-ndp: Near-Data Processing Architecture Simulation From Low Level Caches to DRAM. SBAC-PAD 2022: 41-50 - 2021
- [j22]Nuno Neves
Compiler-Assisted Data Streaming for Regular Code Structures. IEEE Trans. Computers 70(3): 483-494 (2021) - [j21]João Vieira
A Compute Cache System for Signal Processing Applications. J. Signal Process. Syst. 93(10): 1173-1186 (2021) - [j20]Nuno Neves
A Reconfigurable Posit Tensor Unit with Variable-Precision Arithmetic and Automatic Data Streaming. J. Signal Process. Syst. 93(12): 1365-1385 (2021) - [c43]Gonçalo Raposo
Positnn: Training Deep Neural Networks with Mixed Low-Precision Posit. ICASSP 2021: 7908-7912 - [c42]Joao Mario Domingos, Nuno Neves
Unlimited Vector Extension with Data Streaming Support. ISCA 2021: 209-222 - [e1]Leonel Sousa
Euro-Par 2021: Parallel Processing - 27th International Conference on Parallel and Distributed Computing, Lisbon, Portugal, September 1-3, 2021, Proceedings. Lecture Notes in Computer Science 12820, Springer 2021, ISBN 978-3-030-85664-9 [contents] - [i2]Gonçalo Raposo
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit. CoRR abs/2105.00053 (2021) - [i1]Joao Mario Domingos, Pedro Tomás, Leonel Sousa:
Supporting RISC-V Performance Counters through Performance analysis tools for Linux (Perf). CoRR abs/2112.11767 (2021) - 2020
- [c41]Nuno Neves
Reconfigurable Stream-based Tensor Unit with Variable-Precision Posit Arithmetic. ASAP 2020: 149-156 - [c40]Helena Aidos
Neighborhood-aware autoencoder for missing value imputation. EUSIPCO 2020: 1542-1546 - [c39]João Vieira, Nuno Roma
Processing Convolutional Neural Networks on Cache. ICASSP 2020: 1658-1662 - [c38]Francisco Mendes, Pedro Tomás
Exploiting Non-conventional DVFS on GPUs: Application to Deep Learning. SBAC-PAD 2020: 1-9 - [c37]Nuno Neves
Dynamic Fused Multiply-Accumulate Posit Unit with Variable Exponent Size for Low-Precision DSP Applications. SiPS 2020: 1-6 - [c36]Jorge Pessoa, Helena Aidos
End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders. SiPS 2020: 1-6
2010 – 2019
- 2019
- [j19]João Guerreiro
GPU Static Modeling Using PTX and Deep Structured Learning. IEEE Access 7: 159150-159161 (2019) - [j18]João Guerreiro
DVFS-aware application classification to improve GPGPUs energy efficiency. Parallel Comput. 83: 93-117 (2019) - [j17]João Guerreiro
Modeling and Decoupling the GPU Power Consumption for Cross-Domain DVFS. IEEE Trans. Parallel Distributed Syst. 30(11): 2494-2506 (2019) - [c35]Pedro Sá, Helena Aidos, Nuno Roma, Pedro Tomás:
Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices. EUSIPCO 2019: 1-5 - 2018
- [j16]Lidia Kuan, Frederico Pratas, Leonel Sousa
MrBayes sMC3. Int. J. High Perform. Comput. Appl. 32(2): 246-265 (2018) - [j15]Nuno Neves
Stream data prefetcher for the GPU memory interface. J. Supercomput. 74(6): 2314-2328 (2018) - [c34]João Guerreiro
GPGPU Power Modeling for Multi-domain Voltage-Frequency Scaling. HPCA 2018: 789-800 - [c33]João Vieira, Nuno Roma
Exploiting Compute Caches for Memory Bound Vector Operations. SBAC-PAD 2018: 197-200 - 2017
- [j14]Sebastião Miranda, Jonas Feldt
Efficient parallelization of perturbative Monte Carlo QM/MM simulations in heterogeneous platforms. Int. J. High Perform. Comput. Appl. 31(6): 499-516 (2017) - [j13]Nuno Neves
Adaptive In-Cache Streaming for Efficient Data Management. IEEE Trans. Very Large Scale Integr. Syst. 25(7): 2130-2143 (2017) - [c32]Pedro Duarte, Pedro Tomás
SCRATCH: an end-to-end application-aware soft-GPGPU architecture and trimming tool. MICRO 2017: 165-177 - 2016
- [j12]Nuno Neves, Rui Neves, Nuno Horta, Pedro Tomás, Nuno Roma:
Multi-objective kernel mapping and scheduling for morphable many-core architectures. Expert Syst. Appl. 45: 385-399 (2016) - [j11]Francisco Gaspar, Luís Taniça, Pedro Tomás
A Framework for Application-Guided Task Management on Heterogeneous Embedded Systems. ACM Trans. Archit. Code Optim. 12(4): 42:1-42:25 (2016) - [j10]David Nogueira, Pedro Tomás
BowMapCL: Burrows-Wheeler Mapping on Multiple Heterogeneous Accelerators. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 926-938 (2016) - [c31]João Guerreiro, Aleksandar Ilic
Performance and Power-Aware Classification for Frequency Scaling of GPGPU Applications. Euro-Par Workshops 2016: 134-146 - [c30]Nuno Neves
In-Cache Streaming: Morphable Infrastructure for Many-Core Processing Systems. Euro-Par Workshops 2016: 775-787 - [c29]Miguel Tairum Cruz, Pedro Tomás
Unsupervised variable-grained online phase clustering for heterogeneous/morphable processors. HPCS 2016: 858-865 - [c28]Rui Pinheiro, Nuno Roma
A Cross-Core Performance Model for Heterogeneous Many-Core Architectures. VECPAR 2016: 101-111 - 2015
- [j9]Tomás Ferreirinha, Rúben Nunes
Acceleration of stochastic seismic inversion in OpenCL-based heterogeneous platforms. Comput. Geosci. 78: 26-36 (2015) - [j8]Nuno Neves
Morphable hundred-core heterogeneous architecture for energy-aware computation. IET Comput. Digit. Tech. 9(1): 49-62 (2015) - [j7]André Valério Carreiro
Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis. J. Biomed. Informatics 58: 133-144 (2015) - [j6]Nuno Neves
Multicore SIMD ASIP for Next-Generation Sequencing and Alignment Biochip Platforms. IEEE Trans. Very Large Scale Integr. Syst. 23(7): 1287-1300 (2015) - [c27]Miguel Rodrigues, Nuno Roma
Fast and Scalable Thread Migration for Multi-core Architectures. EUC 2015: 9-16 - [c26]Nuno Neves
Efficient data-stream management for shared-memory many-core systems. FPL 2015: 1-8 - [c25]Miguel Tairum Cruz
Energy-Efficient Architecture for DP Local Sequence Alignment: Exploiting ILP and DLP. IWBBIO (2) 2015: 194-206 - [c24]João Guerreiro, Aleksandar Ilic
Multi-kernel Auto-Tuning on GPUs: Performance and Energy-Aware Optimization. PDP 2015: 438-445 - [c23]Lidia Kuan, Leonel Sousa
Accelerating Phylogenetic Inference on Heterogeneous OpenCL Platforms. TrustCom/BigDataSE/ISPA (3) 2015: 214-221 - [c22]Francisco Gaspar, Luís Taniça, Pedro Tomás, Aleksandar Ilic, Leonel Sousa:
Attaining performance fairness in big.LITTLE systems. WISES 2015: 67-72 - 2014
- [c21]João Amaral, Francesco Regazzoni
Accelerating differential power analysis on heterogeneous systems. WESS 2014: 4:1-4:9 - [c20]Luís Taniça, Aleksandar Ilic
SchedMon: A Performance and Energy Monitoring Tool for Modern Multi-cores. Euro-Par Workshops (2) 2014: 230-241 - [c19]Tomás Ferreirinha, Rúben Nunes
GPU Accelerated Stochastic Inversion of Deep Water Seismic Data. Euro-Par Workshops (1) 2014: 239-250 - [c18]David Nogueira, Pedro Tomás
Burrows-Wheeler Transform based indexed exact search on a multi-GPU OpenCL platform. HPCS 2014: 31-38 - [c17]Miguel Tairum Cruz
Low-power vectorial VLIW architecture for maximum parallelism exploitation of dynamic programming algorithms. HPCS 2014: 88-95 - [c16]Lidia Kuan, João Neves, Frederico Pratas, Pedro Tomás, Leonel Sousa:
Accelerating Phylogenetic Inference on GPUs: an OpenACC and CUDA comparison. IWBBIO 2014: 589-600 - [c15]Francisco Gaspar, Aleksandar Ilic
Performance-Aware Task Management and Frequency Scaling in Embedded Systems. SBAC-PAD 2014: 65-72 - [c14]Andriy Gorobets, Frederico Pratas, Nuno Roma
Stream Oriented Modular Architecture with Polymorphic Processing Engines. SBAC-PAD (Workshops) 2014: 84-89 - [p1]Lidia Kuan, Pedro Tomás
Finite-Difference in Time-Domain Scalable Implementations on CUDA and OpenCL. Numerical Computations with GPUs 2014: 223-242 - 2013
- [c13]Nuno Neves
BioBlaze: Multi-core SIMD ASIP for DNA sequence alignment. ASAP 2013: 241-244 - [c12]José M. Leitão, José A. Germano
Scalable and high throughput biosensing platform. FPL 2013: 1-6 - [c11]Lidia Kuan, Pedro Tomás
A comparison of computing architectures and parallelization frameworks based on a two-dimensional FDTD. HPCS 2013: 339-346 - [c10]Adrian Matoga, Ricardo Chaves
A flexible shared library profiler for early estimation of performance gains in heterogeneous systems. HPCS 2013: 461-470 - [c9]João Colaço, Adrian Matoga, Aleksandar Ilic
Transparent Application Acceleration by Intelligent Scheduling of Shared Library Calls on Heterogeneous Systems. PPAM (1) 2013: 693-703 - [c8]Diogo Antão, Luís Taniça, Aleksandar Ilic
Monitoring Performance and Power for Application Characterization with the Cache-Aware Roofline Model. PPAM (1) 2013: 747-760 - [c7]Sergio Paiagua, Frederico Pratas, Pedro Tomás
HotStream: Efficient Data Streaming of Complex Patterns to Multiple Accelerating Kernels. SBAC-PAD 2013: 17-24 - 2012
- [c6]Frederico Pratas, Pedro Tomás
Energy efficient stream-based configurable architecture for embedded platforms. ICSAMOS 2012: 193-200 - 2010
- [j5]Pedro Tomás
A quantitative analysis of firing rate estimators: Unveiling bias sources. Neurocomputing 73(16-18): 2944-2954 (2010) - [c5]Rui Ramalho, Pedro Tomás
Efficient Independent Component Analysis on a GPU. CIT 2010: 1128-1133
2000 – 2009
- 2009
- [j4]João C. Martins
Neural code metrics: Analysis and application to the assessment of neural models. Neurocomputing 72(10-12): 2337-2350 (2009) - [j3]Pedro Tomás
A Feature Selection Algorithm for the Regularization of Neuron Models. IEEE Trans. Instrum. Meas. 58(11): 3824-3830 (2009) - 2008
- [j2]Pedro Tomás
Statistical Analysis of a Spike Train Distance in Poisson Models. IEEE Signal Process. Lett. 15: 357-360 (2008) - [c4]Pedro Tomás, João C. Martins, Leonel Sousa:
Towards a Unified Model for the Retina - Static vs Dynamic Integrate and Fire Models. BIOSIGNALS (2) 2008: 528-533 - 2007
- [c3]Sergio Capela, Pedro Tomás, Leonel Sousa:
Stochastic integrate-and-fire model for the retina. EUSIPCO 2007: 2514-2518 - [c2]Pedro Tomás
An Efficient Expectation-Maximisation Algorithm for Spike Classification. DSP 2007: 203-206 - 2005
- [j1]Moisés Piedade
Visual neuroprosthesis: a non invasive system for stimulating the cortex. IEEE Trans. Circuits Syst. I Regul. Pap. 52-I(12): 2648-2662 (2005) - 2003
- [c1]Leonel Sousa, Pedro Tomás
An FPL Bioinspired Visual Encoding System to Stimulate Cortical Neurons in Real-Time. FPL 2003: 691-700
Coauthor Index
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last updated on 2024-11-11 21:28 CET by the dblp team
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