Search Results - "Dasari, Venkat R."

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  1. 1

    Virtual and Augmented Reality Applications to Support Data Analysis and Assessment of Science and Engineering by Su, Simon, Perry, Vince, Bravo, Luis, Kase, Sue, Roy, Heather, Cox, Katherine, R. Dasari, Venkat

    Published in Computing in science & engineering (01-05-2020)
    “…For decades, virtual reality (VR) and augmented reality (AR) technologies have remained absent from science and engineering workflows due to the custom-built…”
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    Journal Article
  2. 2

    Complexity and mission computability of adaptive computing systems by Dasari, Venkat R, Im, Mee Seong, Geerhart, Billy

    Published in Journal of defense modeling and simulation (01-01-2022)
    “…There is a subset of computational problems that existing algorithms may not complete due to a lack of adequate computational resources on tactical edge…”
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    Journal Article
  3. 3

    Programmable control plane for mission critical wireless networks by Dasari, Venkat R, Jalaian, Brian, Bhat, Saleil

    Published in Journal of defense modeling and simulation (01-04-2018)
    “…The control plane is an essential element to manage the data plane communications in wired and wireless networks. In a traditional network architecture, the…”
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    Journal Article
  4. 4

    OpenFlow arbitrated programmable network channels for managing quantum metadata by Dasari, Venkat R, Humble, Travis S

    Published in Journal of defense modeling and simulation (01-01-2019)
    “…Quantum networks must classically exchange complex metadata between devices in order to carry out information for protocols such as teleportation, super-dense…”
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    Journal Article
  5. 5

    The Case for Robust Adaptation: Autonomic Resource Management is a Vulnerability by Noor, Joseph, Ali-Eldin, Ahmed, Garcia, Luis, Rao, Chirag, Dasari, Venkat R., Ganesan, Deepak, Jalaian, Brian, Shenoy, Prashant, Srivastava, Mani

    “…Autonomic resource management for distributed edge computing systems provides an effective means of enabling dynamic placement and adaptation in the face of…”
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    Conference Proceeding
  6. 6

    E2CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning by Gormez, Alperen, Dasari, Venkat R., Koyuncu, Erdem

    “…State-of-the-art neural networks with early exit mechanisms often need considerable amount of training and fine tuning to achieve good performance with low…”
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    Conference Proceeding
  7. 7

    Deep learning acceleration at the resource-constrained tactical edge by Geerhart, Billy, Dasari, Venkat R., Wang, Peng, Rapp, Brian

    “…This paper outlines how we modified the torch2trt library which allowed us to build a recursive framework that can quantize previously unsupported PyTorch…”
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    Conference Proceeding
  8. 8

    Model-Distributed DNN Training for Memory-Constrained Edge Computing Devices by Li, Pengzhen, Seferoglu, Hulya, Dasari, Venkat R., Koyuncu, Erdem

    “…We consider a model-distributed learning framework in which layers of a deep learning model is distributed across multiple workers. To achieve consistent…”
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    Conference Proceeding
  9. 9

    GENI Deployment and Research at US Army Research Laboratory by Mishra, Vinod K., Dasari, Venkat R.

    “…Global Environment for Network Innovation (GENI) is a comprehensive test bed technology to promote rapid network research and application development. It…”
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    Conference Proceeding
  10. 10

    Computational complexity reduction of deep neural networks by Im, Mee Seong, Dasari, Venkat R

    Published 29-07-2022
    “…Mathematica Militaris, 25 (2022), no. 1, 1-10 Deep neural networks (DNN) have been widely used and play a major role in the field of computer vision and…”
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    Journal Article
  11. 11

    E$^2$CM: Early Exit via Class Means for Efficient Supervised and Unsupervised Learning by Görmez, Alperen, Dasari, Venkat R, Koyuncu, Erdem

    Published 01-03-2021
    “…State-of-the-art neural networks with early exit mechanisms often need considerable amount of training and fine tuning to achieve good performance with low…”
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    Journal Article
  12. 12

    Genetic optimization algorithms applied toward mission computability models by Im, Mee Seong, Dasari, Venkat R

    Published 26-05-2020
    “…Genetic algorithms are modeled after the biological evolutionary processes that use natural selection to select the best species to survive. They are…”
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    Journal Article
  13. 13

    A Transformer Approach for Camera-to-LIDAR Data Registration by Wang, Ju, Tang, Yong, Dasari, Venkat R., Geerhart, Billy, Rapp, Brian, Wang, Peng, Chen, Wei-Bang, Watts, Isaac

    “…We proposes a novel method for camera-to-LIDAR calibration, which estimates the relative transform from LIDAR to camera sensors during on-field run-time…”
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    Conference Proceeding
  14. 14

    Well defined quantum key distribution using calibration, synchronization, and a programmable quantum channel by Geerhart, Billy E, Dasari, Venkat R

    Published 29-05-2018
    “…Well defined quantum key distribution between two users requires both calibration to ensure quantum effects and synchronization to stabilize the bit parity of…”
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    Journal Article
  15. 15

    Optimization and synchronization of programmable quantum communication channels by Im, Mee Seong, Dasari, Venkat R

    Published 15-05-2018
    “…Proc. SPIE Quantum Information Science, Sensing, and Computation X 10660-26 (14 May 2018), 1 -- 7 Quantum applications transmit and receive data through…”
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  16. 16

    Solving machine learning optimization problems using quantum computers by Dasari, Venkat R, Im, Mee Seong, Beshaj, Lubjana

    Published 17-11-2019
    “…Classical optimization algorithms in machine learning often take a long time to compute when applied to a multi-dimensional problem and require a huge amount…”
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    Journal Article
  17. 17

    Optimization problems with low SWaP tactical Computing by Im, Mee Seong, Dasari, Venkat R, Beshaj, Lubjana, Shires, Dale

    Published 13-02-2019
    “…In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions. SWaP-aware…”
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    Journal Article
  18. 18

    OpenFlow Experimenter Labels for Encoding Adaptive Network Functions by Snow, Nikolai A., Dasari, Venkat R., Geerhart, Billy E.

    Published in 2018 IEEE 39th Sarnoff Symposium (01-09-2018)
    “…OpenFlow is the single most important widely used protocol created for the development of software defined programmable adaptive network architectures. The…”
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    Conference Proceeding
  19. 19

    Complexity and mission computability of adaptive computing systems by Dasari, Venkat R, Im, Mee Seong, Geerhart, Billy

    Published 28-08-2018
    “…There is a subset of computational problems that are computable in polynomial time for which an existing algorithm may not complete due to a lack of high…”
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    Journal Article
  20. 20

    OpenFlow Arbitrated Programmable Network Channels for Managing Quantum Metadata by Dasari, Venkat R, Humble, Travis S

    Published 12-10-2016
    “…The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 14, 1-11 (2016) Quantum networks must classically exchange complex…”
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    Journal Article