A machine learning approach to accelerating DSE of reconfigurable accelerator systems
ASB Lopes, MM Pereira - 2020 33rd Symposium on Integrated …, 2020 - ieeexplore.ieee.org
Reconfigurable hardware accelerators (RAs) have become a frequent choice in embedded
systems design to meet the performance demand of current embedded applications …
systems design to meet the performance demand of current embedded applications …
Integer Programming Applied to Wireless Sensor Networks Topology Optimization
LF Pinheiro, LS de Assis… - … on Optimization, Learning …, 2022 - Springer
Abstract Wireless Sensor Networks (WSNs) are systems with great potential for applications
in the most diverse areas such as industry, security, public health, and agriculture. In …
in the most diverse areas such as industry, security, public health, and agriculture. In …
Design space exploration of a reconfigurable accelerator in a heterogeneous multicore
FC Silva, JPS Patrocinio, IS Silva… - 2020 33rd Symposium …, 2020 - ieeexplore.ieee.org
Energy-efficiency has become one of the most important characteristics in system design,
especially in mobile devices. However, keeping the energy-efficiency while maintaining the …
especially in mobile devices. However, keeping the energy-efficiency while maintaining the …
Experimental research of a shared memory subsystem with limited queue length for specialized reconfigurable multiprocessor systems
AI Martyshkin… - Independent Journal of …, 2022 - paulorodrigues.pro.br
Recently, reconfigurable systems based on field programmable logic devices (FPLDs) have
been widely used in high-performance computing. The paper discusses issues related to the …
been widely used in high-performance computing. The paper discusses issues related to the …
Fast DSE of reconfigurable accelerator systems via ensemble machine learning
Reconfigurable hardware accelerators (RAs) attached to processors have become a
frequent choice to meet the performance demand of current embedded applications …
frequent choice to meet the performance demand of current embedded applications …
Regression Ensembles for Fast Design Space Exploration of Heterogeneous Hardware Designs
ASB Lopes, AM de Paula Canuto… - 2020 19th IEEE …, 2020 - ieeexplore.ieee.org
In architectural design of embedded systems, machine learning (ML) has become a
promising solution to provide robustness to the design space exploration (DSE) of large …
promising solution to provide robustness to the design space exploration (DSE) of large …