Mikel Lujan

Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms pdf

Crefeda Faviola Rodrigues, Graham Riley, Mikel Lujan, 2020, ArXiv.

Project Beehive: A Hardware/Software Co-designed Stack for Runtime and Architectural Research pdf

Sebastian Werner, Javier Navaridas, Christos Kotselidis, 2015, ECOOP 2015.

Enabling Standalone FPGA Computing

Javier Navaridas, Mikel Lujan, Andrew Attwood, 2019, 2019 IEEE Symposium on High-Performance Interconnects (HOTI).

DBHI: A Tool for Decoupled Functional Hardware-Software Co-Design on SoCs

Mikel Lujan, Konstantinos Iordanou, Cosmin Gorgovan, 2020, FPGA.

Improved Dataflow Executions with User Assisted Scheduling

Ian Watson, Daniel Goodman, Behram Khan, 2013, 2013 Data-Flow Execution Models for Extreme Scale Computing.

DFScala: High Level Dataflow Support for Scala

Ian Watson, Daniel Goodman, Chris Seaton, 2012, 2012 Data-Flow Execution Models for Extreme Scale Computing.

To Ensemble or Not Ensemble: When does End-To-End Training Fail?

Gavin Brown, Mikel Lujan, Charles Reynolds, 2019 .

Accuracy Evaluation of Deep belief Networks with Fixed-Point Arithmetic

Mikel Lujan, Dou Yong, Jiang Jingfei, 2014 .

Making the case for FPGA based HPC

Javier Navaridas, John Goodacre, Mikel Lujan, 2019 .

Robust SLAM Systems: Are We There Yet?

Barry Lennox, Mikel Lujan, Matthew Spear, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking

Edoardo Manino, Mikel Lujan, Iury Bessa, 2021, ArXiv.