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Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.

N. Agostini, S. Dong, E. Karimi, M. Lapuerta, J. Cano, J. Abellán, and D. Kaeli. SBAC-PAD, page 10-19. IEEE, (2020)

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Nicolas Böhm

Francesca Agostini

Hansjürgen Agostini

Giulia Agostini

Achim Agostini

Other publications of authors with the same name

From High-Level Frameworks to custom Silicon with SODA.S. Curzel, N. Agostini, R. Neff, A. Limaye, J. Zhang, V. Amatya, M. Minutoli, V. Castellana, J. Manzano, D. Brooks and 3 other author(s). HCS, page 1-13. IEEE, (2022)AXI4MLIR: User-Driven Automatic Host Code Generation for Custom AXI-Based Accelerators.N. Agostini, J. Haris, P. Gibson, M. Jayaweera, N. Rubin, A. Tumeo, J. Abellán, J. Cano, and D. Kaeli. CGO, page 143-157. IEEE, (2024)ML-CGRA: An Integrated Compilation Framework to Enable Efficient Machine Learning Acceleration on CGRAs.Y. Luo, C. Tan, N. Agostini, A. Li, A. Tumeo, N. Dave, and T. Geng. DAC, page 1-6. IEEE, (2023)NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator.K. Shivdikar, N. Agostini, M. Jayaweera, G. Jonatan, J. Abellán, A. Joshi, J. Kim, and D. Kaeli. CoRR, (2024)An MLIR-based Compiler Flow for System-Level Design and Hardware Acceleration.N. Agostini, S. Curzel, V. Amatya, C. Tan, M. Minutoli, V. Castellana, J. Manzano, D. Kaeli, and A. Tumeo. ICCAD, page 6:1-6:9. ACM, (2022)Performance Evaluation and Improvement of Real-Time Computer Vision Applications for Edge Computing Devices.J. Gutierrez, N. Agostini, and D. Kaeli. ICPE (Companion), page 139-144. ACM, (2021)Towards Automatic and Agile AI/ML Accelerator Design with End-to-End Synthesis.J. Zhang, N. Agostini, S. Song, C. Tan, A. Limaye, V. Amatya, J. Manzano, M. Minutoli, V. Castellana, A. Tumeo and 2 other author(s). ASAP, page 218-225. IEEE, (2021)DRIPS: Dynamic Rebalancing of Pipelined Streaming Applications on CGRAs.C. Tan, N. Agostini, T. Geng, C. Xie, J. Li, A. Li, K. Barker, and A. Tumeo. HPCA, page 304-316. IEEE, (2022)Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.S. Dong, Y. Sun, N. Agostini, E. Karimi, D. Lowell, J. Zhou, J. Cano, J. Abellán, and D. Kaeli. IEEE Trans. Parallel Distributed Syst., 32 (10): 2448-2463 (2021)A Secure and Reusable Software Architecture for Supporting Online Data Harmonization.Z. Feric, N. Agostini, D. Beene, A. Signes-Pastor, Y. Halchenko, D. Watkins, D. MacKenzie, M. Karagas, J. Manjourides, A. Alshawabkeh and 1 other author(s). IEEE BigData, page 2801-2812. IEEE, (2021)

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Disambiguation of "Agostini, Nicolas Bohm"

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Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.

Please choose a person to relate this publication to

Nicolas Böhm

Francesca Agostini

Hansjürgen Agostini

Giulia Agostini

Achim Agostini

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Agostini, Nicolas Bohm"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.

Please choose a person to relate this publication to

Nicolas Böhm

Francesca Agostini

Hansjürgen Agostini

Giulia Agostini

Achim Agostini

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Design Space Exploration of Accelerators and End-to-End DNN Evaluation with TFLITE-SOC.