Satyadhyan Chickerur

Dr. Satyadhyan Chickerur received his B.E degree in E&C, M.Tech in CSE and PhD in Computer and PhD in Computer and Information Sciences in the year 1997, 2002 and 2012 respectively. He has served as faculty in various engineering colleges in India. Presently he is with the Department of Computer Science and Engineering, KLE Technological University (Formely B V Bhoomaraddi College of Engineering and Technology), Hubli as a Professor and PI of NVIDIA Cuda teaching center. He is one of the members of NVIDIA University Relations Coordination Committee. He is a certified NVIDIA DLI Instructor and Ambassador. He is a member of ISTE, IEEE and ACM. He was the Execom member of IEEE signal processing society, Bangalore chapter (2007-2009). He was a Member of Intel - IISC – VTU multicore Curriculum Development committee. He was one of the judges and problem setter for ACM ICPC programming contest of the Asia Regional\'s in the year 2007 and 2008. He has received various grants from industry and other Organizations for research as well.

1books edited

1chapters authored

Latest work with IntechOpen by Satyadhyan Chickerur

This edited book aims to present the state of the art in research and development of the convergence of high-performance computing and parallel programming for various engineering and scientific applications. The book has consolidated algorithms, techniques, and methodologies to bridge the gap between the theoretical foundations of academia and implementation for research, which might be used in business and other real-time applications in the future.The book outlines techniques and tools used for emergent areas and domains, which include acceleration of large-scale electronic structure simulations with heterogeneous parallel computing, characterizing power and energy efficiency of a data-centric high-performance computing runtime and applications, security applications of GPUs, parallel implementation of multiprocessors on MPI using FDTD, particle-based fused rendering, design and implementation of particle systems for mesh-free methods with high performance, and evolving topics on heterogeneous computing. In the coming days the need to converge HPC, IoT, cloud-based applications will be felt and this volume tries to bridge that gap.

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