I will discuss how to achieve sustainable, scalable, and high-performance computing while mitigating the climate crisis of the Earth. This requires a collaborative effort from academia, industry and government, and a broad adoption of sustainability policies and practices.

I will be speaking at the AAAS’25 panel on “Computing is Eating the World: Will Saving the Planet Destroy It?" this Friday (Feb 14th) at 11:30 am. The panel is organized by CCC Sustainability and Climate Resilience Taskforce.

A revised and extended version of our work on “How to Evaluate Distributed Coordination Systems? – A Survey and Analysis” is now available on arXiv. Any feedback is appreciated. To read the paper:

Six IEEE conferences under one roof in a prime location. IEEE World Congress on Services -- hosting IEEE CLOUD, EDGE, ICDH, ICWS, QSW, and SSE -- will take place in Helsinki, Finland from 7-12 July 2025. The deadline for paper submission is March 3rd.

A great venue to publish your work on Sustainable AI and AI for Sustainability. Paper submission deadline is January 15th. We look forward to receiving your submissions! #IEEE CAI 2025

New episode of the Sustainable Computing podcast series: “Carbon-Aware Networking.” You can listen to the podcast at the following links: Spotify: Apple Podcast: Link to our related paper: #Sustainability

A mind-provoking poster from NeurIPS - Can an AI Agent Safely Run a Government? And, here ıs the link to the paper:

We talk about the countless benefits and great potential of AI all the time, but we should also recognize its side effects, such as its significant impact on the environment, and we need to promote responsible and sustainable use of AI. #AI #sustainability

We prepared a video to raise awareness about the environmental impacts of AI, such as unprecedented demand for energy and significant carbon emissions at data centers. Please feel free to share and use this video to increase awareness in this area.

This podcast examines strategies for creating sustainable AI, including choosing efficient AI frameworks,  simplifying model structure, utilizing low-precision data formats, capping GPU power, and employing energy-aware code refactoring techniques to reduce energy consumption.

New Podcast: "Sustainable AI – Best Practices" based on my recent blog post on the same topic, generated by NotebookLM. To listen: Apple Podcast: Spotify:

RT @SUNY: .@ualbany: Kathleen Dunn - Project Titled: Strengthening hybrid bonding through understanding of orbital exchange @binghamtonu :…

RT @0xorphaned: cs DC Benchmarking Distributed Coordination Systems: A Survey and Analysis Bekir Turkkan, Tevfik Kosar, Aleksey Charapko, A…

RT @UBengineering: Check out @abcnews' article with insights from #UBSEAS professor Tevfik Kosar on impacts the increasing demand for data…

RT @UBengineering: Three UB SEAS researchers received 2024 SUNY-IBM AI Research Alliance grants: Tevfik Kosar, Baishakhi Mazumder, and Jinj…

It is possible to significantly reduce the energy consumption of AI workloads without compromising from the performance and accuracy of these models. In this blog post, I lay out the best practices to achieve this.

I’m looking for motivated PhD students to perform cutting-edge research on green and sustainable computing in the context of distributed systems, HPC, Cloud and AI workloads. If interested, please email me at tkosar@buffalo.edu with your detailed resume and relevant experience.

@muratdemirbas It must have been a stressful morning, I’m glad you’re safe.

I was recently interviewed by ABC News on the impact of data centers’ energy usage on the climate and environment. To read the full story:

The paper submission deadline for IEEE CLOUD 2024 has been extended to March 31st, 2024. Don’t miss this opportunity to submit your work to the flagship conference at the forefront of innovative cloud computing research and related technologies.