Marco Colombo

According to our database, Marco Colombo authored at least 11 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

hls4ml: A Flexible, Open Source Platform for Deep Learning Acceleration on Reconfigurable Hardware.

Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun, Jovan Mitrevski, Nicolò Ghielmetti, Enrico Lupi, Dimitrios Danopoulos, Vladimir Loncar, Javier M. Duarte, David Burnette, Lauri Laatu, Stylianos Tzelepis, Konstantinos Axiotis, Quentin Berthet, Haoyan Wang, Paul White, Suleyman Demirsoy, Marco Colombo, Thea Klaeboe Aarrestad, Sioni Summers, Maurizio Pierini, Giuseppe Di Guglielmo, Jennifer Ngadiuba, Javier Campos, Benjamin Hawks, Abhijith Gandrakota, Farah Fahim, Nhan Tran, George A. Constantinides, Zhiqiang Que, Wayne Luk, Alexander D. Tapper, Duc Hoang, Noah Paladino, Philip C. Harris, Bo-Cheng Lai, Manuel Valentin, Ryan Forelli, Seda Ogrenci, Lino Gerlach, Rian Brooks Flynn, Mia Liu, Daniel Diaz, Elham E Khoda, Melissa Quinnan, Russell Solares, Santosh Parajuli, Mark S. Neubauer, Christian Herwig, Ho Fung Tsoi, Dylan Rankin, Shih-Chieh Hsu, Scott Hauck

ACM Trans. Reconfigurable Technol. Syst., June, 2026

2025

AI Benchmark Democratization and Carpentry.

Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Juri Papay, Armstrong Foundjem, Piotr Luszczek, Murali Emani, Shirley V. Moore, Vijay Janapa Reddi, Matthew D. Sinclair, Sebastian Lobentanzer, Sujata S. Goswami, Benjamin Hawks, Marco Colombo, Nhan Tran, Christine R. Kirkpatrick, Abdulkareem Alsudais, Gregg Barrett, Tianhao Li, Kirsten N. Morehouse, Shivaram Venkataraman, Rutwik Jain, Kartik Mathur, Victor Lu, Tejinder Singh, Khojasteh Z. Mirza, Kongtao Chen, Sasidhar Kunapuli, Gavin Farrell, Renato Umeton, Geoffrey C. Fox

CoRR, December, 2025

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware.

Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun, Jovan Mitrevski, Nicolò Ghielmetti, Enrico Lupi, Dimitrios Danopoulos, Vladimir Loncar, Javier M. Duarte, David Burnette, Lauri Laatu, Stylianos Tzelepis, Konstantinos Axiotis, Quentin Berthet, Haoyan Wang, Paul White, Suleyman Demirsoy, Marco Colombo, Thea Aarrestad, Sioni Summers, Maurizio Pierini, Giuseppe Di Guglielmo, Jennifer Ngadiuba, Javier Campos, Benjamin Hawks, Abhijith Gandrakota, Farah Fahim, Nhan Tran, George A. Constantinides, Zhiqiang Que, Wayne Luk, Alexander D. Tapper, Duc Hoang, Noah Paladino, Philip C. Harris, Bo-Cheng Lai, Manuel Blanco Valentin, Ryan F. Forelli, Seda Ogrenci, Lino Gerlach, Rian Flynn, Mia Liu, Daniel Diaz, Elham E Khoda, Melissa Quinnan, Russell Solares, Santosh Parajuli, Mark S. Neubauer, Christian Herwig, Ho Fung Tsoi, Dylan S. Rankin, Shih-Chieh Hsu, Scott Hauck

CoRR, December, 2025

An MLCommons Scientific Benchmarks Ontology.

Benjamin Hawks, Gregor von Laszewski, Matthew D. Sinclair, Marco Colombo, Shivaram Venkataraman, Rutwik Jain, Yiwei Jiang, Nhan Tran, Geoffrey C. Fox

CoRR, November, 2025

2024

VISTA: Variant Insights, Surveillance and Tracking Analytics, a Visualization Platform for Public Health.

Karan Jogi, Stephanie Greenwald, Marco Colombo, Sarah Owens, Rigel Gjomemo

Proceedings of the Workshop on Visual Analytics in Healthcare, 2024

2021

A generalized multiphase modelling approach for multiscale flows.

Andrea De Santis, Marco Colombo, Bruce C. Hanson, Michael Fairweather

J. Comput. Phys., 2021

2013

A decomposition-based crash-start for stochastic programming.

Marco Colombo, Andreas Grothey

Comput. Optim. Appl., 2013

2011

A warm-start approach for large-scale stochastic linear programs.

Marco Colombo, Jacek Gondzio, Andreas Grothey

Math. Program., 2011

2009

A structure-conveying modelling language for mathematical and stochastic programming.

Marco Colombo, Andreas Grothey, Jonathan D. Hogg, Kristian Woodsend, Jacek Gondzio

Math. Program. Comput., 2009

2008

Further development of multiple centrality correctors for interior point methods.

Marco Colombo, Jacek Gondzio

Comput. Optim. Appl., 2008

2007

Advances in interior point methods for large-scale linear programming.

Marco Colombo

PhD thesis, 2007