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of 187
pro vyhledávání: '"BIANCHINI, RICARDO"'
Autor:
Huang, Lexiang, Parayil, Anjaly, Zhang, Jue, Qin, Xiaoting, Bansal, Chetan, Stojkovic, Jovan, Zardoshti, Pantea, Misra, Pulkit, Cortez, Eli, Ghelman, Raphael, Goiri, Íñigo, Rajmohan, Saravan, Kleewein, Jim, Fonseca, Rodrigo, Zhu, Timothy, Bianchini, Ricardo
Today, cloud workloads are essentially opaque to the cloud platform. Typically, the only information the platform receives is the virtual machine (VM) type and possibly a decoration to the type (e.g., the VM is evictable). Similarly, workloads receiv
Externí odkaz:
http://arxiv.org/abs/2404.19143
Autor:
Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Íñigo, Maleki, Saeed, Bianchini, Ricardo
Recent innovations in generative large language models (LLMs) have made their applications and use-cases ubiquitous. This has led to large-scale deployments of these models, using complex, expensive, and power-hungry AI accelerators, most commonly GP
Externí odkaz:
http://arxiv.org/abs/2311.18677
Autor:
Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Goiri, Íñigo, Warrier, Brijesh, Mahalingam, Nithish, Bianchini, Ricardo
Recent innovation in large language models (LLMs), and their myriad use-cases have rapidly driven up the compute capacity demand for datacenter GPUs. Several cloud providers and other enterprises have made substantial plans of growth in their datacen
Externí odkaz:
http://arxiv.org/abs/2308.12908
Autor:
Li, Huaicheng, Berger, Daniel S., Novakovic, Stanko, Hsu, Lisa, Ernst, Dan, Zardoshti, Pantea, Shah, Monish, Rajadnya, Samir, Lee, Scott, Agarwal, Ishwar, Hill, Mark D., Fontoura, Marcus, Bianchini, Ricardo
Public cloud providers seek to meet stringent performance requirements and low hardware cost. A key driver of performance and cost is main memory. Memory pooling promises to improve DRAM utilization and thereby reduce costs. However, pooling is chall
Externí odkaz:
http://arxiv.org/abs/2203.00241
Autor:
Wang, Yawen, Crankshaw, Daniel, Yadwadkar, Neeraja J., Berger, Daniel, Kozyrakis, Christos, Bianchini, Ricardo
Cloud platforms run many software agents on each server node. These agents manage all aspects of node operation, and in some cases frequently collect data and make decisions. Unfortunately, their behavior is typically based on pre-defined static heur
Externí odkaz:
http://arxiv.org/abs/2201.10477
Autor:
Romero, Francisco, Chaudhry, Gohar Irfan, Goiri, Íñigo, Gopa, Pragna, Batum, Paul, Yadwadkar, Neeraja J., Fonseca, Rodrigo, Kozyrakis, Christos, Bianchini, Ricardo
Function-as-a-Service (FaaS) has become an increasingly popular way for users to deploy their applications without the burden of managing the underlying infrastructure. However, existing FaaS platforms rely on remote storage to maintain state, limiti
Externí odkaz:
http://arxiv.org/abs/2104.13869
Autor:
Kumbhare, Alok, Azimi, Reza, Manousakis, Ioannis, Bonde, Anand, Frujeri, Felipe, Mahalingam, Nithish, Misra, Pulkit, Javadi, Seyyed Ahmad, Schroeder, Bianca, Fontoura, Marcus, Bianchini, Ricardo
Datacenter designers rely on conservative estimates of IT equipment power draw to provision resources. This leaves resources underutilized and requires more datacenters to be built. Prior work has used power capping to shave the rare power peaks and
Externí odkaz:
http://arxiv.org/abs/2010.15388
Autor:
Shahrad, Mohammad, Fonseca, Rodrigo, Goiri, Íñigo, Chaudhry, Gohar, Batum, Paul, Cooke, Jason, Laureano, Eduardo, Tresness, Colby, Russinovich, Mark, Bianchini, Ricardo
Function as a Service (FaaS) has been gaining popularity as a way to deploy computations to serverless backends in the cloud. This paradigm shifts the complexity of allocating and provisioning resources to the cloud provider, which has to provide the
Externí odkaz:
http://arxiv.org/abs/2003.03423
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Akademický článek
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