Zobrazeno 1 - 10
of 25 468
pro vyhledávání: '"A., Pavithra"'
Autor:
Turkkan, Bekir, Murali, Pavankumar, Harsha, Pavithra, Arora, Rohan, Vanloo, Gerard, Narayanaswami, Chandra
There is an urgent and pressing need to optimize usage of Graphical Processing Units (GPUs), which have arguably become one of the most expensive and sought after IT resources. To help with this goal, several of the current generation of GPUs support
Externí odkaz:
http://arxiv.org/abs/2409.06646
Modern web services adopt cloud-native principles to leverage the advantages of microservices. To consistently guarantee high Quality of Service (QoS) according to Service Level Agreements (SLAs), ensure satisfactory user experiences, and minimize op
Externí odkaz:
http://arxiv.org/abs/2409.03103
Autor:
Cristian, Rares, Harsha, Pavithra, Ocejo, Clemente, Perakis, Georgia, Quanz, Brian, Spantidakis, Ioannis, Zerhouni, Hamza
Time series forecasting is an important task in many fields ranging from supply chain management to weather forecasting. Recently, Transformer neural network architectures have shown promising results in forecasting on common time series benchmark da
Externí odkaz:
http://arxiv.org/abs/2408.03872
Autor:
Harris, Thomas, Jayasundara, Pavithra, Ragonnet, Romain, Trauer, James, Geard, Nicholas, Zachreson, Cameron
Social contact patterns are key drivers of infectious disease transmission. During the COVID-19 pandemic, differences between pre-COVID and COVID-era contact rates were widely attributed to non-pharmaceutical interventions such as lockdowns. However,
Externí odkaz:
http://arxiv.org/abs/2406.01639
Addressing the issue of submerged underwater trash is crucial for safeguarding aquatic ecosystems and preserving marine life. While identifying debris present on the surface of water bodies is straightforward, assessing the underwater submerged waste
Externí odkaz:
http://arxiv.org/abs/2405.18299
Autor:
Vasudevan, Pavithra1 pavithra@austin.utexas.edu
Publikováno v:
ACME: An International Journal for Critical Geographies. 2024, Vol. 23 Issue 2, p120-124. 5p.
Autor:
Wertheimer, Davis, Rosenkranz, Joshua, Parnell, Thomas, Suneja, Sahil, Ranganathan, Pavithra, Ganti, Raghu, Srivatsa, Mudhakar
This technical report describes the design and training of novel speculative decoding draft models, for accelerating the inference speeds of large language models in a production environment. By conditioning draft predictions on both context vectors
Externí odkaz:
http://arxiv.org/abs/2404.19124
In response to the COVID-19 pandemic, traditional physical classrooms have transitioned to online environments, necessitating effective strategies to ensure sustained student engagement. A significant challenge in online teaching is the absence of re
Externí odkaz:
http://arxiv.org/abs/2311.10343
Autor:
Harsha, Pavithra, Subramanian, Shivaram, Koc, Ali, Ramakrishna, Mahesh, Quanz, Brian, Shah, Dhruv, Narayanaswami, Chandra
We introduce a new class of data-driven and distribution-free optimistic-robust bimodal inventory optimization (BIO) strategy to effectively allocate inventory across a retail chain to meet time-varying, uncertain omnichannel demand. While prior Robu
Externí odkaz:
http://arxiv.org/abs/2310.12183
Let $G$ be a connected graph with $|V| = n$ and $|E| = m$. A bijection $f:E\rightarrow \{1,2,...,m\}$ is called a local antimagic labeling of $G$ if for any two adjacent vertices $u$ and $v$, $w(u) \neq w(v)$, where $w(u) = \sum_{e \in E(u)}f(e)$, an
Externí odkaz:
http://arxiv.org/abs/2308.07278