Nicolas Bohm Agostini
Orcid: 0000-0003-1855-3810
According to our database1,
Nicolas Bohm Agostini
authored at least 28 papers
between 2019 and 2024.
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Bibliography
2024
AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators.
Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024
2023
SECDA-TFLite: A toolkit for efficient development of FPGA-based DNN accelerators for edge inference.
J. Parallel Distributed Comput., March, 2023
ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Computers, 2022
SODA Synthesizer: An Open-Source, Multi-Level, Modular, Extensible Compiler from High-Level Frameworks to Silicon.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022
Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022
SO(DA)<sup>2</sup>: End-to-end Generation of Specialized Reconfigurable Architectures (Invited Talk).
Proceedings of the 13th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 11th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2022
The SODA approach: leveraging high-level synthesis for hardware/software co-design and hardware specialization: invited.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Hardware acceleration of complex machine learning models through modern high-level synthesis.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022
2021
Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.
IEEE Trans. Parallel Distributed Syst., 2021
Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference.
Proceedings of the 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, 2021
DynPaC: Coarse-Grained, Dynamic, and Partially Reconfigurable Array for Streaming Applications.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Automated Generation of Integrated Digital and Spiking Neuromorphic Machine Learning Accelerators.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
A Secure and Reusable Software Architecture for Supporting Online Data Harmonization.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021
2020
Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.
Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020
2019
Exploiting Adaptive Data Compression to Improve Performance and Energy-Efficiency of Compute Workloads in Multi-GPU Systems.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019