We study the problem of approximately transforming a sample from a source statistical model to a sample from a target statistical model without knowing the parameters of the source model, and construct several computa...
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Serving generative inference of the large language model is a crucial component of contemporary AI applications. This paper focuses on deploying such services in a heterogeneous and cross-datacenter setting to mitigat...
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Serving generative inference of the large language model is a crucial component of contemporary AI applications. This paper focuses on deploying such services in a heterogeneous and cross-datacenter setting to mitigate the substantial inference costs typically associated with a single centralized datacenter. Towards this end, we propose HEXGEN, a flexible distributed inference engine that uniquely supports the asymmetric partition of generative inference computations over both tensor model parallelism and pipeline parallelism and allows for effective deployment across diverse GPUs interconnected by a fully heterogeneous network. We further propose a sophisticated scheduling algorithm grounded in constrained optimization that can adaptively assign asymmetric inference computation across the GPUs to fulfill inference requests while maintaining acceptable latency levels. We conduct an extensive evaluation to verify the efficiency of HEXGEN by serving the state-of-the-art LLAMA-2 (70B) model. The results suggest that HEXGEN can choose to achieve up to 2.3× lower latency deadlines or tolerate up to 4× more request rates compared with the homogeneous baseline given the same budget. Our implementation is available at https://***/Relaxed-System-Lab/HexGen. Copyright 2024 by the author(s)
The utilization of fifth-generation wireless technology (5G) and artificial intelligence (AI) has opened many paths toward making solar power utility systems run more efficiently. 5G and AI have emerged within the las...
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Globalization has revolutionized how different entities are distributed across locations interconnect and collaborated to enhance the availability of different services even at remote areas. Supply chains have played ...
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Globalization has revolutionized how different entities are distributed across locations interconnect and collaborated to enhance the availability of different services even at remote areas. Supply chains have played an important role in expanding business operations globally and at the same time increasing operational efficiency and reducing costs. Pharmaceutical Supply Chain (PSC) is one of the important aspects of healthcare which is vital for resource acquisition, manufacturing, and distribution of prescription drugs from the manufacturer site to patients. "Five rights of medication” is the main motto of the PSC which ensures the delivery of the right medicine to the right patient, at the right time, in the right doses, and through the appropriate route. Following this principle achieves patient safety in the healthcare system. However, as the number of entities participating in the PSC is large, which are geographically distributed and interact in complex ways makes the PSC more abstract and causes adversaries to introduce counterfeit medicines into the system. Developing a transparent PSC with no information fragmentation is very much needed for efficient track and trace along with easy identification and avoidance of counterfeit drugs. The current paper proposes one such architecture that is integrated with Blockchain, Distributed File Storage System, and Barcode technologies to provide a secure Barcode mechanism for addressing such tracking and tracing issues in the pharmaceutical supply chain. The novel product serialization mechanism proposed in PharmaChain 3.0 also ensures accurate identification, capture, and sharing of information about the drugs manufactured between these participating entities without the use of centralized entities and removing blind parties. The current system is designed to efficiently capture both Pedigree and T3 information of drugs in order to comply with regulations like Drug Supply Chain Security Act (DSCSA) and Prescription D
Deep learning has been proved to diagnose Attention Deficit/Hyperactivity Disorder (ADHD) accurately, but it has raised concerns about trustworthiness because of the lack of explainability. Fortunately, the developmen...
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In this article, we propose an improved high-boost-gain split-source inverter (SSI) for renewable energy generation. The proposed inverter retains the features of the existing SSIs, such as single-stage boost inversio...
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Grid-connected photovoltaic (PV) systems are crucial to modern renewable energy strategies, but various types of faults can significantly impact their performance. Understanding the behavior of these faults is essenti...
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Quantitative phase imaging(QPI)recovers the exact wavefront of light from intensity *** and optical density maps of translucent microscopic bodies can be extracted from these quantified phase *** demonstrate quantitat...
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Quantitative phase imaging(QPI)recovers the exact wavefront of light from intensity *** and optical density maps of translucent microscopic bodies can be extracted from these quantified phase *** demonstrate quantitative phase imaging at the tip of a coherent fiber bundle using chromatic aberrations inherent in a silicon nitride hyperboloid *** method leverages spectral multiplexing to recover phase from multiple defocus planes in a single capture using a color *** 0.5mm aperture metalens shows robust quantitative phase imaging capability with a 28°field of view and 0.2πphase resolution(~0.1λin air)for experiments with an endoscopic fiber *** the spectral functionality is encoded directly in the imaging lens,the metalens acts both as a focusing element and a spectral *** use of a simple computational backend will enable real-time *** limitations in the adoption of phase imaging methods for endoscopy such as multiple acquisition,interferometric alignment or mechanical scanning are completely mitigated in the reported metalens based QPI.
This paper aims to implement and use the Spring Security framework to secure and authenticate the connection between a web application and the ESP32 device. In the context of a web application, by analyzing the integr...
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