Ricardo Bianchini
Ricardo Bianchini | |
|---|---|
| Born | |
| Alma mater | University of Rochester (PhD) |
| Awards | |
| Scientific career | |
| Fields | Computer science |
| Institutions | |
Ricardo Bianchini (born July 13th, 1966, in Rio de Janeiro, Brazil)[1] is a computer scientist specializing in server and data center energy management. He currently serves as a Technical Fellow and Corporate Vice President at Microsoft Azure, where he leads the Compute Capacity and Efficiency group. His work focuses on enhancing the efficiency and sustainability of Microsoft's online services and datacenters.[2]
Bianchini was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015[3] for contributions to server and data center energy management. He was named an Association for Computing Machinery (ACM) Fellow in 2016 [4] for contributions to power, energy and thermal management of servers and datacenters. He has published nine award papers and received the CAREER award from the National Science Foundation.[5]
Education
[edit]Bianchini received a PhD from the University of Rochester in the Hajim School of Engineering & Applied Sciences in 1995.[6]
From 1995 to 1999, he was a Research Associate and Assistant Professor of Computer Science at the Federal University of Rio de Janeiro.
Professional contributions
[edit]Bianchini was a Professor of Computer Science at Rutgers University from 2000[6] to 2015. In 2014 he started at Microsoft as a Chief Efficiency Strategist, became a Distinguished Engineer in the Microsoft Research group and then in the Azure group. He is now a Technical Fellow and Corporate VP at Microsoft. Bianchini has served as a steering committee member, and keynote speaker[7][5][8] for academic conferences including the Conference on Machine Learning and Systems[9], ICSE[10], ASPLOS[11], AAAI[12], Eurosys[13], and ICDS[14].
Awards and honors
[edit]- 2014 Chief Efficiency Strategist, Microsoft[6]
- 2016 Association for Computing Machinery (ACM) Fellow for contributions to power, energy and thermal management of servers and datacenters[4]
- 2018 National Science Foundation Award LTER: Baltimore Ecosystem Study: Synthesis of long-term studies of how multiple human and biophysical factors interact to drive ecological change of an urban ecosystem[15]
Selected Publications
[edit]- Anant Agarwal, Ricardo Bianchini, David Chaiken, Kirk L Johnson, David Kranz, John Kubiatowicz, Beng-Hong Lim, Kenneth Mackenzie, Donald Yeung "The MIT Alewife Machine: Architecture and Performance" (1995)[16]
- Eduardo Pinheiro, Ricardo Bianchini, Enrique V Carrera, Taliver Heath "Load balancing and unbalancing for power and performance in cluster-based systems" (2001)[17]
- Eli Cortez, Anand Bonde, Alexandre Muzio, Mark Russinovich, Marcus Fontoura, Ricardo Bianchini "Resource central: Understanding and predicting workloads for improved resource management in large cloud platforms" (2017)[18]
- Pratyush Patel, Esha Choukse, Chaojie Zhang, Íñigo Goiri, Brijesh Warrier, Nithish Mahalingam, Ricardo Bianchini "Characterizing Power Management Opportunities for LLMs in the Cloud" (2024)[19]
References
[edit]- ^ "Ricardo Bianchini: Birthday, Age, and Zodiac". Happy Happy Birthday. Retrieved 2024-12-26.
- ^ "Ricardo Bianchini, Microsoft Azure". Microsoft Research. Retrieved 2024-12-26.
- ^ "2015 elevated fellow" (PDF). IEEE Fellows Directory. Archived from the original (PDF) on March 30, 2015.
- ^ a b "ACM 2016 Fellows Recognized for Advances that Are Transforming Science and Society".
- ^ a b "SYSTOR 2020". www.systor.org. Archived from the original on 2020-10-30. Retrieved 2024-12-26.
- ^ a b c "URCS Alum Ricardo Bianchini named an IEEE Fellow". www.cs.rochester.edu. Retrieved 2024-12-26.
- ^ "Program". cloudintelligenceworkshop.org. Retrieved 2024-12-26.
- ^ "Keynote Speakers - HPDC'12". hpdc.org. Retrieved 2024-12-26.
- ^ "Cloud Intelligence / AIOps The Workshop". cloudintelligenceworkshop.org. Retrieved 2024-12-26.
- ^ "Organizers". cloudintelligenceworkshop.org. Retrieved 2024-12-26.
- ^ "Organizers". cloudintelligenceworkshop.org. Retrieved 2024-12-26.
- ^ "Organizers". cloudintelligenceworkshop.org. Retrieved 2024-12-26.
- ^ "European Chapter of ACM SIGOPS - Conferences". www.eurosys.org. Retrieved 2024-12-26.
- ^ Bianchini, Ricardo; Shigeno, Hiroshi (2016-08-08). "Message from the ICDCS 2016 Program Committee Co-Chairs". Proceedings - International Conference on Distributed Computing Systems. 2016-August. doi:10.1109/ICDCS.2016.5.
- ^ Rosi, Emma J (26 December 2023). "Award Abstract # 1855277". nsf.gov. Retrieved 26 December 2024.
- ^ Agarwal, Anant; Bianchini, Ricardo; Chaiken, David; Johnson, Kirk L.; Kranz, David; Kubiatowicz, John; Lim, Beng-Hong; Mackenzie, Kenneth; Yeung, Donald (May 1995). "The MIT Alewife machine: architecture and performance". ACM SIGARCH Computer Architecture News. 23 (2): 2–13. doi:10.1145/225830.223985. ISSN 0163-5964.
- ^ Pinheiro, Eduardo; Bianchini, Ricardo; Carrera, Enrique V.; Heath, Taliver (2001). "Load balancing and unbalancing for power and performance in cluster-based systems".
{{cite journal}}: Cite journal requires|journal=(help) - ^ Cortez, Eli; Bonde, Anand; Muzio, Alexandre; Russinovich, Mark; Fontoura, Marcus; Bianchini, Ricardo (2017-10-14). "Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms". Proceedings of the 26th Symposium on Operating Systems Principles. Shanghai China: ACM: 153–167. doi:10.1145/3132747.3132772. ISBN 978-1-4503-5085-3.
- ^ Patel, Pratyush; Choukse, Esha; Zhang, Chaojie; Goiri, Íñigo; Warrier, Brijesh; Mahalingam, Nithish; Bianchini, Ricardo (2024-04-27). "Characterizing Power Management Opportunities for LLMs in the Cloud". Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3. ASPLOS '24. 3. New York, NY, USA: Association for Computing Machinery: 207–222. doi:10.1145/3620666.3651329. ISBN 979-8-4007-0386-7.
External links
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