Sfoglia per Relatore
A distributed framework supporting runtime autotuning for HPC applications
2016/2017 DI MARCO, CRISTIANO
A hybrid autotuning framework for performance optimization of heterogeneous systems
2016/2017 AMIRI, PUYA
A machine learning methodology based on performance monitoring counters for process classification
2016/2017 BRUNATO, ANDREA
Acceleration of convolutional neural networks on FPGAs based on fusion of multiple layers
2018/2019 INDIRLI, FABRIZIO
Analysis of approximation techniques for parallel computing applications
2015/2016 DE PASQUALE, SILVIO VALERIO
Application autotuning on parallel distributed architectures
2015/2016 CECERE, MONICA
Application specific hierarchical network on chip design based on floorplanning information
2010/2011 TAYEBANI, KOSAR
Code generation for hybrid hardware-software mapping of deep convolutional neural networks on dataflow neural processing units
2018/2019 BUSCHINI, ALESSANDRO
Compiler autotuning using machine learning techniques
ASHOURI, AMIR HOSSEIN
Design space exploration methodology for compiler parameters in VLIW processors
2012/2013 ASHOURI, AMIR HOSSEIN
Design space exploration of openCL applications on heterogeneous parallel platforms
PAONE, EDOARDO
Efficient OpenCL application autotuning for heterogeneous platforms
2015/2016 ERDEM, AHMET
Exploration and mapping of deep neural networks to low-power hardware accelerators and FPGAs
2020/2021 Erdem, Ahmet
Extending the RISC-V vector instruction set architecture for integrating Digital In-Memory-Computing to accelerate deep learning on the edge
2024/2025 SPAGNOLO, TOMMASO
Hardware accelerators of convolutional neural networks. Fused-layer approach
2017/2018 BABIC, DANIJELA
A HW/SW co-design framework for TinyML acceleration
2021/2022 BRUNO, NUNZIO MARIA ALBERTO
Information-leakage analysis based on hardware performance counters
2016/2017 FUSI, MATTEO MARIA
Machine learning for species diversification dynamics
2023/2024 COLBERTALDO, MATTIA
Mapping GEMMs on spatial architectures through adaptive programming and greedy optimization
2023/2024 Ronzani, Marco
Near-threshold computing with performance guarantees for manycore architecture
STAMELAKOS, IOANNIS
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