Student Research Symposium (SRS)

Overview

HiPC 2018 will feature the 11th Student Research Symposium (SRS) on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry.

The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry.

Awards for Best Poster, sponsored by the IEEE Computer Society – Technical Committee on Parallel Processing, will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2018 conference.

 

 

Papers Accepted for Poster Presentation

 

Accelerating Bi-Quintic B-Spline Image Interpolation on a GPU

Mullai Thiagu, Sankara Subramanian and Rupesh Nasre.

 

Adaptive Stock Forecasting Model using Modified Backpropogation Neural Network

Uma Gurav and Nandini Sidnal

 

An approach of Feature Extraction for Face Detection in Thermal Imaging using MPI Model

Harsh Poddar, Chirag Kumar Kyal and Motahar Reza

 

An Experimental Analysis of Federated Learning Performance

Sahana Mohandoss, Priya Bagaria, Rahul Mayuranath, Subramaniam Kalambur and Dinkar Sitaram

 

Analysis of Cache Replacement Algorithms Using ChampSim

Aditya Kamath and Leslie Monis

 

Blockchain Solution for Claim Management in BigData of Health Insurance

Nukala.Poorna Viswanadha Sravan, Pallav Kumar Baurah, Satya Sai M and Phani Krishna K

 

Caching Strategy for Prefetch Blocks in TCMPs

Dipika Deb and Kashyap Mattoo

 

Classification and Unsupervised Clustering of Anomalies with Deep Transfer Learning

Daniel George, Hongyu Shen and Eliu Huerta

 

Communication Cost Efficient Multi-Way Spatial Join

Nagesh Bhattu, Avinash Potluri, Kadari Prashanth and R.B.V Subramanyam

 

Convolutional Neural Networks for Predicting Highest Priority Functional Group in Organic Molecules

Kunal Khatri, Vineet Mehta, Manish Narwaria and Bhaskar Chaudhury

 

Finding linear structures on a quantum computer

Sapv Tharrmashastha, Mayank Aneja and Debajyoti Bera

 

GPU Accelerated Parallel Algorithm For Efficient Tabular Data Extraction From Images

Varun Nagesh Jolly Behera, Ashish Ranjan, Motahar Reza and Kewal Krishna

 

Implementation and Performance Comparison of Partitioning Techniques in Apache Spark

Harshit N G and Geetha J

 

Multi-Scale Spectral Decomposition of Massive Graphs on GPU

Sneh Vyas and Kishore Kothapalli

 

Novel Architecture for Efficient Distributed Consensus

Saichand Akella and Pallav Kumar Baruah

 

Performance Enhancement of Bufferless Routers for 2D Mesh NoCs

Rose George Kunthara, Rekha K James, Simi Zerine Sleeba and John Jose

 

Personal Data Classification Using Natural Language Processing In Object Storage For Security Compliance

Neha Sontakke and Smita Raut

 

Real-time Vehicle detection and dynamic traffic light prediction

Parinith R Iyer, Shrutheesh Raman Iyer, Raghavendran Ramesh and Anala R

 

Risk Based Approach to Calculate General Motor Insurance Reserve using High Performance Computing

Nikhil Rai, Akhilesh Pandey and Karam Kulung Rai

 

State Preserving Dynamic DRAM Bank Re-Configurations for Enhanced Power Efficiency

Kaustav Goswami and Dip Sankar Banerjee

 

SymGR : Automatic Code Generation Framework for Computational General Relativity

Akila D. Perera, Eminda Ishan, Eranga Dulshan, Ruwan Karunanayake, Milinda Fernando, Sanath Jayasena and Hari Sundar

 

Symposium Chairs

Ashok Srinivasan, University of West Florida, USA

Ramakrishna Upadrasta, IIT-Hyderabad, India

 

Contact

Contact: student_symposium[at]hipc[dot]org for more details.

 

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