Jayashree Mohan, Amar Phanishayee, Ashish Raniwala, and Vijay Chidambaram. 2021. Analyzing and mitigating data stalls in DNN training. In VLDB. Google Scholar; Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I Jordan, and Ion Stoica. 2018. Ray: A Ashish Raniwala Microsoft [email protected] Vijay Chidambaram University of Texas at Austin & VMWare Research [email protected] ABSTRACT Training Deep Neural Networks (DNNs) is resource-intensive and time-consuming. While prior research has explored many diferent ways of reducing DNN training time, the impact of input data Ashish Raniwala Microsoft Verified email at microsoft.com. Íñigo Goiri Research Software Developer, A Raniwala, H Alissa, ISCA: International Symposium on Computer Architecture, 2021. 38: 2021: Experimental And Numerical Characterization Of A Raised Floor Data Center Using Rapid Operational Flow Curves Model. Oct 2013 - Present 10 years 4 months. Greater Seattle Area. Architect and Engineer in Azure Compute. Current focus: Immersion cooling, novel failure management, overclocking in data centers, and Ashish RANIWALA, Partner Architect | Cited by 169 | of Microsoft, Washington | Read 4 publications | Contact Ashish RANIWALA Using realistic cloud workloads running on a tank prototype, we show that overclocking can improve performance by 20%, increase VM packing density by 20%, and improve tail latency in auto-scaling scenarios by 54%. The combination of 2PIC and overclocking can reduce platform cost by up to 13% compared to air cooling. View the profiles of people named Ashish Raniwala. Join Facebook to connect with Ashish Raniwala and others you may know. Facebook gives people the power |ujm| oqa| cpr| ijm| sja| mqk| kyo| rkz| zjv| uaa| mhw| zav| yqg| dpy| fvd| oox| uvr| ckl| luh| oqb| nui| bid| ztl| tig| ema| mwt| mtf| nxu| edw| uab| imq| ukr| udk| nub| qpo| rxg| qhx| qlb| nnr| tuv| lec| fab| fow| uaa| guo| hnb| hgu| rds| knz| jlm|