This paper presents an application of these models in an actual data center in the United States with a successful prediction of the thermal behavior within 1 degree Fahrenheit...
This is the first work to report on inferential testing at scale in industry. Specifically, it reports the experience of automated testing of integrity systems at Meta. We built...
In this paper we highlight open research problems and challenges from an industrial perspective. This perspective draws on our experience at Meta Platforms, which has been...
We propose a novel OS-level application-transparent page placement mechanism (TPP) for CXL-enabled memory. TPP employs a lightweight mechanism to identify and place hot/cold...
In this paper, we present the Carbon Explorer framework to analyze the solution space. We use Carbon Explorer to balance tradeoffs between operational and embodied carbon...
This paper explores a SI virtuous cycle workflow to fill the gap. The proposed SI workflow significantly improved the measurement to simulation correlation in terms of eye...
To fill the gap, this paper presents the first set of soft-error detection methods for low-precision quantized-arithmetic operators in DLRM including general matrix multiplication...
We show that our general performance model not only achieves low prediction error on DLRM, which has highly customized configurations and is dominated by multiple factors but also...
In this paper, we focus on two key problems impacting deployment of distributed inference (DI) models on SC: resource allocation and cold start latency. To address the two...
This month, we’re spotlighting Yufei Ding, an assistant professor in computer science at the University of California, Santa Barbara (UCSB)
