Lucas B. da Silva

Orcid: 0000-0002-9626-0274

According to our database1, Lucas B. da Silva authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Gene regulatory accelerators on cloud FPGA.
Concurr. Comput. Pract. Exp., 2023

Fast flow cloud: A stream dataflow framework for cloud FPGA accelerator overlays at runtime.
Concurr. Comput. Pract. Exp., 2023

2021
HAMBug: A Hybrid CPU-FPGA System to Detect Race Conditions.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

An Open Source Custom K-means Generator for AWS Cloud FPGA Accelerators.
Proceedings of the XI Brazilian Symposium on Computing Systems Engineering, 2021

RESHAPE: A Run-Time Dataflow Hardware-Based Mapping for CGRA Overlays.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Google Colab CAD4U: Hands-On Cloud Laboratories for Digital Design.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
BloomTime: space-efficient stateful tracking of time-dependent network performance metrics.
Telecommun. Syst., 2020

A Design Exploration of Scalable Mesh-based Fully Pipelined Accelerators.
Proceedings of the International Conference on Field-Programmable Technology, 2020

2019
READY: A Fine-Grained Multithreading Overlay Framework for Modern CPU-FPGA Dataflow Applications.
ACM Trans. Embed. Comput. Syst., 2019

ADD: Accelerator Design and Deploy - A tool for FPGA high-performance dataflow computing.
Concurr. Comput. Pract. Exp., 2019

2018
A GPU/FPGA-Based K-Means Clustering Using a Parameterized Code Generator.
Proceedings of the Symposium on High Performance Computing Systems, 2018

From Java to FPGA: An Experience with the Intel HARP System.
Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Simplifying HW/SW integration to deploy multiple accelerators for CPU-FPGA heterogeneous platforms.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

Lessons learned on which applications benefit when implemented on CPU-FPGA heterogeneous system.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

2017
Exploring the dynamics of large-scale gene regulatory networks using hardware acceleration on a heterogeneous CPU-FPGA platform.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017

Designing a collision detection accelerator on a heterogeneous CPU-FPGA platform.
Proceedings of the International Conference on ReConFigurable Computing and FPGAs, 2017


  Loading...