To mitigate climate change, we must reduce carbon emissions from hyperscale cloud
computing. We find that cloud compute servers cause the majority of emissions in a general …

On-chip power-management techniques have evolved over several processor generations.
However, response time and scalability constraints have made it difficult to translate existing …

Latency-critical applications running in modern datacenters exhibit irregular request arrival
patterns and are implemented using multiple services with strict latency requirements (30 …

Serverless workflows have emerged in FaaS platforms to represent the operational structure
of traditional applications. With latency propagation effects becoming increasingly …

Dataflow architectures can achieve much better performance and higher efficiency than
general-purpose core, approaching the performance of a specialized design while retaining …

With serverless computing, users develop scalable applications using lightweight functions
as building blocks, while cloud providers own most of the computing stack, allowing for …

Energy-efficiency is one of the most important design criteria for mobile systems, such as
smartphones and tablets. But current mobile systems always over-provision resources to …

Modern user-facing applications deployed in datacenters use a distributed system
architecture that exacerbates the latency requirements of their constituent microservices (30 …

We investigate if FaaS platforms can handle ultra-low latency workloads that run as low as
less than 1 μs and show that even for a warm start, the initialization time takes up to 99, 99 …

Broad adoption of Large Language Models (LLM) demands rapid expansions of cloud LLM
inference clusters, leading to accumulation of embodied carbon $-$ the emissions from …