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Prabhakar Krishnan - IEEE Xplore Author Profile

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Author details

Prabhakar Krishnan

Publications

23

Citations

232

Publications by Year

20182025

Co-Authors:

Krishnashree AchuthanAravind AjiAla Saleh AlluhaidanKb Aneesh KumarK. B. Aneesh Kumar

Show All Co-Authors (45)

Prabhakar Krishnan

Affiliation

Center for Cybersecurity Systems and Networks

Amrita Vishwa Vidyapeetham

Amritapuri-campus, India

Publication Topics

Internet Of Things,
Learning Algorithms,
Public Key,
Secret Key,
Convolutional Neural Network,
Deep Learning,
Internet Of Things Devices,
Secure Communication,
Cloud Computing,
Cryptosystem,
Data Security,
Encryption And Decryption

Biography

Prabhakar Krishnan (Member, IEEE) received master’s degree in computer science and engineering from the National Institute of Technology Tiruchirappalli, Tiruchirappalli, India, in 1995, and the Ph.D. degree in cybersecurity from Amrita University, Amritapuri, India, in 2020.,He is a Research Scientist with the Department of Cyber Security Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri. He has over two decades of Industry experience in the USA. He was a Visiting Adjoint Professor with the Department of Computer Science, University of Texas at San Antonio, San Antonio, TX, USA. His current research interests are primarily in cybersecurity, with special focus in network security, quantum safe Internet and cryptography, network s...

Publications

23

Citations

232

Publications by Year

20182025

Co-Authors:

Krishnashree Achuthan
Aravind Aji
Ala Saleh Alluhaidan
Kb Aneesh Kumar
K. B. Aneesh Kumar

Show All Co-Authors (45)

Author's Published Works

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Showing 1-25 of 1,701 resultsfor "Index Terms":hardware rendering

Conferences (1,364)

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Next-Generation Visual Supercomputing Using PC Clusters with Volume Graphics Hardware Devices

S. Muraki;M. Ogata;Kwan-Liu Ma;K. Koshizuka;K. Kajihara;Xuezhen Liu;Y. Nagano;K. Shimokawa

SC '01: Proceedings of the 2001 ACM/IEEE Conference on Supercomputing

Year: 2001 | Conference Paper |

Cited by: Papers (11) | Patents (1)

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To seek a low-cost, extensible solution for the large-scale data visualization problem, a visual computing system is designed as a result of a collaboration between industry and government research laboratories in Japan, also with participation by researchers in U.S. This scalable system is a commodity PC cluster equipped with the VolumePro 500 volume graphics cards and a specially designed image ...Show More

Next-Generation Visual Supercomputing Using PC Clusters with Volume Graphics Hardware Devices

S. Muraki;M. Ogata;Kwan-Liu Ma;K. Koshizuka;K. Kajihara;Xuezhen Liu;Y. Nagano;K. Shimokawa

SC '01: Proceedings of the 2001 ACM/IEEE Conference on Supercomputing

Year: 2001 | Conference Paper |

Parallel Volume Rendering Method for Out-of-Core Non-Uniformly Partitioned Datasets

Jian Xue;Xiaoye Zhu;Ke Lu;Yutong Kou

2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

Year: 2019 | Conference Paper |

Cited by: Papers (3)

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The rapid development of graphics hardware has spawned a large number of GPU-based direct volume rendering methods. However, fast volume rendering for out-of-core datasets faces specific challenges, and many in-core-based methods cannot be applied to the volume rendering of out-of-core datasets. Although volume rendering algorithms based on partitioning strategies can effectively overcome these pr...Show More

Parallel Volume Rendering Method for Out-of-Core Non-Uniformly Partitioned Datasets

Jian Xue;Xiaoye Zhu;Ke Lu;Yutong Kou

2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

Year: 2019 | Conference Paper |

Accelerating Volume Rendering with Quantized Voxels

Jean-Pierre Jessel;Rene Caubet;Benjamin Mora

2000 IEEE Symposium on Volume Visualization (VV 2000)

Year: 2000 | Conference Paper |

We present here a new algorithm for accelerating volume rendering with an orthographic projection. Because volume rendering handles huge data sets, a reduction in the computational cost of voxel projection is required to obtain interactive volume rendering. We satisfy this issue by using the possibilities of orthographic projection that allows the quantization of voxel positions by subdividing the...Show More

Accelerating Volume Rendering with Quantized Voxels

Jean-Pierre Jessel;Rene Caubet;Benjamin Mora

2000 IEEE Symposium on Volume Visualization (VV 2000)

Year: 2000 | Conference Paper |

An Area Efficient Early ${Z}$ -Test Method for 3-D Graphics Rendering Hardware

Chang-Hyo Yu;Donghyun Kim;Lee-Sup Kim

IEEE Transactions on Circuits and Systems I: Regular Papers

Year: 2008 | Volume: 55, Issue: 7 | Journal Article |

Cited by: Papers (5)

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In this paper, we propose a new early z-test which requires a minimized internal memory while removing redundant z and color reads as well as texture reads. The proposed method determines whether a pixel is screened by a certain mask plane which is containing the history of a pixel's appearance in front of it. If a pixel is screened by the plane, it can be removed. Given an initial position, the m...Show More

An Area Efficient Early ${Z}$ -Test Method for 3-D Graphics Rendering Hardware

Chang-Hyo Yu;Donghyun Kim;Lee-Sup Kim

IEEE Transactions on Circuits and Systems I: Regular Papers

Year: 2008 | Volume: 55, Issue: 7 | Journal Article |

Research on the Technology of Electromagnetic Information Modeling and Visual Analysis

Hongxing Hao;Lingda Wu;Ronghuan Yu

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

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The visualization of electromagnetic information is a hot topic in recent decades, which displays the invisible data in an intuitive way to help the users to gain an overall view of the electromagnetic environment of the electromagnetic equipment. In this paper, a visual analysis framework is proposed which is composite of unified and standardized description of data, visualization methods and int...Show More

Research on the Technology of Electromagnetic Information Modeling and Visual Analysis

Hongxing Hao;Lingda Wu;Ronghuan Yu

2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)

Year: 2018 | Conference Paper |

TexMol: interactive visual exploration of large flexible multi-component molecular complexes

Chandrajit Bajaj;P. Djeu;Vinay Siddavanahalli;A. Thane

IEEE Visualization 2004

Year: 2004 | Conference Paper |

Cited by: Papers (20)

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While molecular visualization software has advanced over the years, today, most tools still operate on individual molecular structures with limited facility to manipulate large multicomponent complexes. We approach this problem by extending 3D image-based rendering via programmable graphics units, resulting in an order of magnitude speedup over traditional triangle-based rendering. By incorporatin...Show More

TexMol: interactive visual exploration of large flexible multi-component molecular complexes

Chandrajit Bajaj;P. Djeu;Vinay Siddavanahalli;A. Thane

IEEE Visualization 2004

Year: 2004 | Conference Paper |

FPGA-accelerated real-time volume rendering for 3D medical image

Jianguo Xing;Shufang Liu;Wenmin Zhao

2010 3rd International Conference on Biomedical Engineering and Informatics

Year: 2010 | Conference Paper |

Cited by: Papers (3)

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In this paper, we present an FPGA-based volume rendering algorithm implementation for real-time 3D medical application. Our method is an block-based ray casting algorithm which is an efficient memory cache technique and inherits advantages of ray casting while prevent multiple random voxel re-fetch. Also we have implemented 4 rendering pipelines on one FPGA chip to accelerate process speed. Each r...Show More

FPGA-accelerated real-time volume rendering for 3D medical image

Jianguo Xing;Shufang Liu;Wenmin Zhao

2010 3rd International Conference on Biomedical Engineering and Informatics

Year: 2010 | Volume: 1 | Conference Paper |

Low-pass filter along ray in texture-based volume rendering

Qian Li;Changhui Sun;MeiKe Wang

2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE)

Year: 2012 | Conference Paper |

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A novel low-pass filter method along viewing ray is presented for texture-based volume rendering, and the artifacts for low sampling rate is suppressed effectively in the method. The samples are computed first in programmable vertex processor by graphics processing unit, and then one dimensional low-pass filter is executed on each fragment in programmable fragment processor. With a linear transfer...Show More

Low-pass filter along ray in texture-based volume rendering

Qian Li;Changhui Sun;MeiKe Wang

2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE)

Year: 2012 | Volume: 1 | Conference Paper |

Distributed Particle-Based Rendering Framework for Large Data Visualization on HPC Environments

Jorji Nonaka;Naohisa Sakamoto;Takashi Shimizu;Masahiro Fujita;Kenji Ono;Koji Koyamada

2017 International Conference on High Performance Computing & Simulation (HPCS)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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In this paper, we present a distributed data visualization framework for HPC environments based on the PBVR (Particle Based Volume Rendering) method. The PBVR method is a kind of point-based rendering approach where the volumetric data to be visualized is represented as a set of small and opaque particles. This method has the object-space and image-space variants, defined by the place (object or i...Show More

Distributed Particle-Based Rendering Framework for Large Data Visualization on HPC Environments

Jorji Nonaka;Naohisa Sakamoto;Takashi Shimizu;Masahiro Fujita;Kenji Ono;Koji Koyamada

2017 International Conference on High Performance Computing & Simulation (HPCS)

Year: 2017 | Conference Paper |

A Supervised Generative Model for Efficient Rendering of Medical Volume Data

Marius Gavrilescu

2020 International Conference on e-Health and Bioengineering (EHB)

Year: 2020 | Conference Paper |

Cited by: Papers (3)

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Complex 3D and multidimensional medical data require significant computational resources to render high-quality, high-resolution images which provide useful information from the originating data set. As an alternative to traditional on-the-fly ray-casting-based generation of such images from volume data, we propose a generative model based on a deep neural network which is continually trainable fr...Show More

A Supervised Generative Model for Efficient Rendering of Medical Volume Data

Marius Gavrilescu

2020 International Conference on e-Health and Bioengineering (EHB)

Year: 2020 | Conference Paper |

An 8M Polygons/s 3-D Graphics SoC With Full Hardware Geometric and Rendering Engine for Mobile Applications

Jeonghun Kim;Hanjun Choi;Sungyeal Yoon;Taesik Bang;Jongchan Park;Chaehyun Jung;Jason Cong

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Year: 2011 | Volume: 19, Issue: 8 | Journal Article |

Cited by: Papers (3)

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A 3-D graphics SoC, with a multi-layer advanced microcontroller bus architecture (AMBA) system, full pipelined hardware 3-D graphics accelerator, and clock/power management is proposed as a 49-mm2 die for 180-nm CMOS technology. This system-on-chip (SoC) minimizes power consumption with a clock/power management unit according to its operation mode and applications. The 3-D graphics accelerator has...Show More

An 8M Polygons/s 3-D Graphics SoC With Full Hardware Geometric and Rendering Engine for Mobile Applications

Jeonghun Kim;Hanjun Choi;Sungyeal Yoon;Taesik Bang;Jongchan Park;Chaehyun Jung;Jason Cong

IEEE Transactions on Very Large Scale Integration (VLSI) Systems

Year: 2011 | Volume: 19, Issue: 8 | Journal Article |

An improved fast ray casting volume rendering algorithm of medical image

Tao Ling;Qian Zhi-Yu

2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)

Year: 2011 | Conference Paper |

Cited by: Papers (7)

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Ray casting algorithm is widely used in three-dimensional visualization of medical image, which can produce superior quality image besides simple theory. However, its rendering velocity is very slow because of huge amounts of rays and repeated resample of the data. An improved fast algorithm of ray casting volume rendering is presented which can figure out composition segment fleetly and reduce in...Show More

An improved fast ray casting volume rendering algorithm of medical image

Tao Ling;Qian Zhi-Yu

2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)

Year: 2011 | Volume: 1 | Conference Paper |

an optimized rendering algorithm for hardware implementation of openVG 2D vector graphics

Kilhyung Cha;Daewoong Kim;Soo-Ik Chae

2008 International SoC Design Conference

Year: 2008 | Conference Paper |

Cited by: Papers (1)

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An optimized rendering algorithm of the OpenVG 2D vector graphics for hardware implementation is presented in this paper. In the rendering algorithm we adopted a hybrid of raster and vector rendering, which uses vector rendering only within each scanline, to reduce both the number of external memory accesses and the computational complexity. We implemented a hardware accelerator with the proposed ...Show More

an optimized rendering algorithm for hardware implementation of openVG 2D vector graphics

Kilhyung Cha;Daewoong Kim;Soo-Ik Chae

2008 International SoC Design Conference

Year: 2008 | Volume: 01 | Conference Paper |

Accelerating Unstructured Mesh Point Location With RT Cores

Nate Morrical;Ingo Wald;Will Usher;Valerio Pascucci

IEEE Transactions on Visualization and Computer Graphics

Year: 2022 | Volume: 28, Issue: 8 | Journal Article |

Cited by: Papers (13)

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We present a technique that leverages ray tracing hardware available in recent Nvidia RTX GPUs to solve a problem other than classical ray tracing. Specifically, we demonstrate how to use these units to accelerate the point location of general unstructured elements consisting of both planar and bilinear faces. This unstructured mesh point location problem has previously been challenging to acceler...Show More

Accelerating Unstructured Mesh Point Location With RT Cores

Nate Morrical;Ingo Wald;Will Usher;Valerio Pascucci

IEEE Transactions on Visualization and Computer Graphics

Year: 2022 | Volume: 28, Issue: 8 | Journal Article |

A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

Sammy Rogmans;Jiangbo Lu;Gauthier Lafruit

2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video

Year: 2008 | Conference Paper |

Cited by: Papers (7) | Patents (2)

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This paper presents the system-level overview of a real-time image- based rendering framework performing multiple intermediate view synthesis, completely on the Graphics Processing Unit (GPU). The software design achieves high-performance, yet maintains flexibility and ease of development through a hierarchical layered architecture. The framework implements the intermediate view synthesis by a cha...Show More

A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware

Sammy Rogmans;Jiangbo Lu;Gauthier Lafruit

2008 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video

Year: 2008 | Conference Paper |

Methods for Precise False-Overlap Detection in Tile-Based Rendering

Hsiu-ching Hsieh;Chih-Chieh Hsiao;Hui-Chin Yang;Chung-Ping Chung;Jean Jyh-Jiun Shann

2009 International Conference on Computational Science and Engineering

Year: 2009 | Conference Paper |

Cited by: Papers (5)

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In graphics processing, overlap test is a crucial step before tile-binning in tile-based rendering for embedded devices. An object in a frame is decomposed into primitives, triangles of different sizes, for processing. In tile-binning process, these triangular primitives are typically represented by bounding boxes. However, the bounding box of a primitive usually covers a significant number of til...Show More

Methods for Precise False-Overlap Detection in Tile-Based Rendering

Hsiu-ching Hsieh;Chih-Chieh Hsiao;Hui-Chin Yang;Chung-Ping Chung;Jean Jyh-Jiun Shann

2009 International Conference on Computational Science and Engineering

Year: 2009 | Volume: 2 | Conference Paper |

Architecture design and analysis of image-based rendering engine

Jui-Hsin Lai;Chieh-Li Chen;Shao-Yi Chien

2011 IEEE International Conference on Multimedia and Expo

Year: 2011 | Conference Paper |

Cited by: Papers (2)

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Image-based rendering (IBR) is a technique to render the video from images, and it provides users to have more interaction and immersive experience in watching a video. In this paper, we integrate the computation of several IBR applications, analyze the bandwidth of memory access, and design an architecture to process the computation of IBR. Experimental results show that the proposed IBR Engine i...Show More

Architecture design and analysis of image-based rendering engine

Jui-Hsin Lai;Chieh-Li Chen;Shao-Yi Chien

2011 IEEE International Conference on Multimedia and Expo

Year: 2011 | Conference Paper |

A pseudo three-dimensional sub-satellite point rendering method

Huang Wei;Wang Zhenping;Zhou Dawei;Gu Xiaoxia;Li Rui

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)

Year: 2022 | Conference Paper |

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The traditional sub-satellite point rendering uses a world plane map based on Mercator projection. This method is simple and efficient, but the deformation is very significant in the area far from the equator, and it increases with the increase of latitude. This paper constructs a pseudo-three-dimensional sub-satellite point rendering method based on orthogonal projection, which does not require t...Show More

A pseudo three-dimensional sub-satellite point rendering method

Huang Wei;Wang Zhenping;Zhou Dawei;Gu Xiaoxia;Li Rui

2022 IEEE 2nd International Conference on Power, Electronics and Computer Applications (ICPECA)

Year: 2022 | Conference Paper |

An Improved Algorithm for Terrain Rendering

Wei Cao;Lin Huang;Yunfeng Hu;Duanyang Xu;Hongyan Ren;Junxing Yang

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

Year: 2019 | Conference Paper |

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The real-time visualization of large-scale terrain is a very complex and challenging problem, as the increasing resolution of geometry and texture has greatly exceeded the rendering capabilities of the available hardware. This is an active research area, and has attracted the interest of researchers for decades. To solve this problem, LOD-based algorithms of various forms have been proposed. These...Show More

An Improved Algorithm for Terrain Rendering

Wei Cao;Lin Huang;Yunfeng Hu;Duanyang Xu;Hongyan Ren;Junxing Yang

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium

Year: 2019 | Conference Paper |

Remote Rendering and Rendering in Virtual Machines

Daniel J. Paradis;Bruce Segee

2016 International Conference on Computational Science and Computational Intelligence (CSCI)

Year: 2016 | Conference Paper |

Cited by: Papers (3)

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The remote access of computers can be accomplished numerous ways. A common remote access method is secure shell (SSH). It is possible to use SSH to access graphical interfaces by using X11 forwarding. SSH, however, uses the computer that the user is accessing from, the client, as a means to process the graphical commands. This problem can be solved by using a program called VirtualGL. VirtualGL al...Show More

Remote Rendering and Rendering in Virtual Machines

Daniel J. Paradis;Bruce Segee

2016 International Conference on Computational Science and Computational Intelligence (CSCI)

Year: 2016 | Conference Paper |

Real-time Accelerators for Volume Rendering

A. Kaufman;H. Pfister;G. Knittel;J. Hesser;J.C. Goble

Proceedings of Seventh Annual IEEE Visualization '96

Year: 1996 | Conference Paper |

Cited by: Papers (1)

First Page of the Article

Real-time Accelerators for Volume Rendering

A. Kaufman;H. Pfister;G. Knittel;J. Hesser;J.C. Goble

Proceedings of Seventh Annual IEEE Visualization '96

Year: 1996 | Conference Paper |

Remote parallel rendering for high-resolution tiled display walls

Daniel Nachbaur;Raphael Dumusc;Ahmet Bilgili;Juan Hernando;Stefan Eilemann

2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)

Year: 2014 | Conference Paper |

Cited by: Papers (2)

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We present a complete, robust and simple to use hardware and software stack delivering remote parallel rendering of complex geometrical and volumetric models to high resolution tiled display walls in a production environment. We describe the setup and configuration, present preliminary benchmarks showing interactive framerates, and describe our contributions for a seamless integration of all the s...Show More

Remote parallel rendering for high-resolution tiled display walls

Daniel Nachbaur;Raphael Dumusc;Ahmet Bilgili;Juan Hernando;Stefan Eilemann

2014 IEEE 4th Symposium on Large Data Analysis and Visualization (LDAV)

Year: 2014 | Conference Paper |

A improved volume rendering algorithm based on convex hull

The 2nd International Conference on Information Science and Engineering

Year: 2010 | Conference Paper |

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For large amount of medical image data, the calculation for visualization is huge. It also demands the high computing ability for hardware. This paper studies the volume rending technology based on convex hull. It describes the work steps and details of this method used OpenGL. On the conclusion, this algorithm is suitable for the common video card. It can also attain the 18fps interactive volume ...Show More

A improved volume rendering algorithm based on convex hull

The 2nd International Conference on Information Science and Engineering

Year: 2010 | Conference Paper |

Transform Coding for Hardware-accelerated Volume Rendering

Nathaniel Fout;Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics

Year: 2007 | Volume: 13, Issue: 6 | Journal Article |

Cited by: Papers (47)

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Hardware-accelerated volume rendering using the GPU is now the standard approach for real-time volume rendering, although limited graphics memory can present a problem when rendering large volume data sets. Volumetric compression in which the decompression is coupled to rendering has been shown to be an effective solution to this problem; however, most existing techniques were developed in the con...Show More

Transform Coding for Hardware-accelerated Volume Rendering

Nathaniel Fout;Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics

Year: 2007 | Volume: 13, Issue: 6 | Journal Article |

NPU-Based Image Compositing in a Distributed Visualization System

David Pugmire;Laura Monroe;Carolyn Connor Davenport;Andrew DuBois;David DuBois;Stephen Poole

IEEE Transactions on Visualization and Computer Graphics

Year: 2007 | Volume: 13, Issue: 4 | Journal Article |

Cited by: Papers (9)

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This paper describes the first use of a Network Processing Unit (NPU) to perform hardware-based image composition in a distributed rendering system. The image composition step is a notorious bottleneck in a clustered rendering system. Furthermore, image compositing algorithms do not necessarily scale as data size and number of nodes increase. Previous researchers have addressed the composition pro...Show More

NPU-Based Image Compositing in a Distributed Visualization System

David Pugmire;Laura Monroe;Carolyn Connor Davenport;Andrew DuBois;David DuBois;Stephen Poole

IEEE Transactions on Visualization and Computer Graphics

Year: 2007 | Volume: 13, Issue: 4 | Journal Article |

Standards Dictionary Terms

2D
3D
CAD
CT
MIP
MRI
ROI
STL
decimation
polygon
reconstruction
rendering
segmentation
surface
texture mapping
volume
volume pixel (voxel)
voxel

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