Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Nicolas Böhm

Francesca Agostini

Giulia Agostini

Hansjürgen Agostini

Achim Agostini

Other publications of authors with the same name

Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR.J. Haris, N. Agostini, A. Tumeo, D. Kaeli, and J. Cano. CoRR, (2024)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)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)VCSR: An Efficient GPU Memory-Aware Sparse Format.E. Karimi, N. Agostini, S. Dong, and D. Kaeli. IEEE Trans. Parallel Distributed Syst., 33 (10): 3977-3989 (2022)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)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. CoRR, (2023)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)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)

BibSonomy

Disambiguation of "Agostini, Nicolas Bohm"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.

Please choose a person to relate this publication to

Nicolas Böhm

Francesca Agostini

Giulia Agostini

Hansjürgen 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 Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.

Please choose a person to relate this publication to

Nicolas Böhm

Francesca Agostini

Giulia Agostini

Hansjürgen 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
Harvard
MSOffice XML

Spartan: A Sparsity-Adaptive Framework to Accelerate Deep Neural Network Training on GPUs.