by Thaleia Dimitra Doudali on Nov 27, 2023 | Tags: Cloud computing, Forecasting, Machine Learning, Resource Management
How many times have you tried setting up a virtual machine, container pods or serveless functions in the cloud and wondered how many resources (cores, memory etc.) to configure? In practice, users request more resources than actually end up using. This is a known...
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by Boris Grot and Dmitrii Ustiugov on Oct 5, 2023 | Tags: Cloud computing, Serverless
Serverless 101 Serverless computing has emerged as a pivotal development and deployment paradigm for cloud computing. According to a recent analyst report, over 50% of companies that use cloud services have adopted serverless computing. Usage of serverless...
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by Daniel S. Berger, David Brooks, Fiodar Kazhamiaka, Mark D. Hill, Ricardo Bianchini, Carole-Jean Wu, Karin Strauss, Kali Frost, Jaylen Wang, Kevin Martins, Sharon Gillett, Esha Choukse, Dan Ernst, Rodrigo Fonseca, Kari Lio, Bhargavi Narayanasetty, Pratyush Patel, Celine Irvene, Akshitha Sriraman, George Porter, Alex Jones, Udit Gupta, Bilge Acun-Uyan, Kim Hazelwood, and Doug Carmean on Aug 3, 2023 | Tags: Accelerators, amd, apple, Architecture, Carbon emissions, Cloud computing, Datacenters, embodied carbon, intel, Measurements, nvidia, operational carbon, qualcomm, Sustainability, tsmc
A recent post raises awareness of the challenges of reducing operational carbon, while also controversially challenging the importance of embodied carbon. We rebut the arguments raised against using embodied carbon as a design metric and conclude by advocating for more research on reducing embodied carbon.
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by Andrew A. Chien on Jul 24, 2023 | Tags: Accelerators, amd, apple, Cloud computing, Datacenters, embodied carbon, intel, nvidia, operational carbon, qualcomm, Sustainability, tsmc
I. Embodied Carbon Recently, embodied carbon, defined as the Scope 3 GHG emissions that arise from the manufacturing processes that lead to computing electronics, has become popular as an architectural metric for sustainability. If you are considering it or using it,...
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by Neeraja Yadwadkar on May 12, 2022 | Tags: Cloud computing, Datacenters, Machine Learning
It was more than 10 years ago that I first started studying machine learning (ML). Serendipitously, I ended up leveraging ML techniques developed for biological sequence analysis for optimizing storage systems. In the recent past, I have focused on optimizing and...
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