Student Research Symposium (SRS)

Overview

HiPC 2017 will feature the 10th Student Research Symposium on High Performance Computing, Data, and Analytics aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments in HPC. The symposium will also give students exposure to the best practices of senior HPC researchers in academia and industry. 

In a departure from previous years, the symposium will feature only student posters; there will be no talks by students. This change will give students a greater opportunity for other enriching experiences. As well as hearing keynote talks and attending technical sessions, SRS students will be able to attend and participate in workshops and take advantage of information provided by industry exhibits, demos, and presentations. 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.

Student Research Symposium (SRS) Co-chairs

• Kishore Kothapalli, IIIT-Hyderabad, India

• Madhura Purnaprajna, Amrita University, India

• Ashok Srinivasan, Florida State University, USA

Contact

Contact student_symposium@hipc.org for more details.

Papers Accepted for Poster Presentation

The following papers have been accepted for poster presentation on both Day 2 and Day 3 of the conference. They will be on display next to the conference industry exhibits, and available for viewing throughout both days. Student authors will be available during breaks to answer questions. 

 

DCTCP Testing: Performance Evaluation of Congestion Control Protocol without ECN

Parth Shukla (CHARUSAT, India) and Bobby Rathore (CHARUSAT, India)

 

Sherlocker: An Empirical Analysis of Predictive Prefetching for Hybrid Cloud

Sudeep Sharma (IIT Patna, India), Atish Kathpal (Netapp, India), Sourav Basu (Netapp, India) and Jimson Mathew (IIT Patna, India)

 

GREENER: A Tool for Improving Energy Efficiency of GPU Register File

Vishwesh Jatala (IIT Kanpur, India), Jayvant Anantpur (Mentor Graphics India Pvt Ltd, India) and Amey Karkare (IIT Kanpur, India)

 

Understanding Uber trip data with Machine-Learning: Geographical Clustering and Time series predictions

A.M.D. Srinivas (M S Ramaiah Institute Of Technology, India), Gagan K Shetty (M S Ramaiah Institute Of Technology, India) and Srinidhi H (M S Ramaiah Institute Of Technology, India)

 

Massively parallel 3D hemodynamic simulations based on 2D angiogram data to study atherosclerosis in coronary arteries

Madhurima Vardhan (Duke University, USA), John Gounley (Duke University, USA), Amanda Randles (Duke University, USA), James Chen (University of Colorado, USA), Andrew Kahn (UCSD, USA) and Jane Leopold (Harvard University, USA)

 

Deep Learning for Extracting Noisy Time-Series Signals—Enabling Real-time Multimessenger Astrophysics

Daniel George (National Center for Supercomputing Applications (NCSA), USA),  and Eliu Huerta (University of Illinois at Urbana-Champaign, USA)

 

Persistent Memory Programming Abstractions in Context of Concurrent Applications

Ajay Singh (Indian Institute of Technology Hyderabad, India), Marc Shapiro (INRIA Regal Lab., France) and Gael Thomas (Telecom SudParis, France)

 

When Polyhedral Optimizations Meet Deep Learning Kernels

Hrishikesh Vaidya (IIT Hyderabad, India), Akilesh B (IIT Hyderabad, India), Abhishek Patwardhan (IIT Hyderabad, India) and Ramakrishna Upadrasta (IIT Hyderabad, India)

 

Parallel Computing for Iterative Hill Climbing Algorithm to solve TSP

Pramod Yelmewad (National Institute of Technology Karnataka, Surathkal, India), Param Hanji  (National Institute of Technology Karnataka, Surathkal, India), Amogha Udupa  (National Institute of Technology Karnataka, Surathkal, India),  Parth Shah  (National Institute of Technology Karnataka, Surathkal, India) and Basavaraj Talawar  (National Institute of Technology Karnataka, Surathkal, India)

 

 MBMIR: An efficient Image Reconstruction technique for rapid algorithmic implementation.

Murali Ravi (Sri Sathya Sai Institute of Higher Learning, India), Angu Sewa (Sri Sathya Sai Institute of Higher Learning, India), Shashidhara T G (Analog Devices Inc., India),  Sivaramakrishnan S (Analog Devices Inc., India) and Siva Sankara Sai S (Sri Sathya Sai Institute of Higher Learning, India)

 

Analysis on Traffic Big Data Prediction and Visualization using Parallel M5P and Random Forest Regression

Akhilesh Prasad Mehta (National Institute of Science and Technology, India), T Kiran Kumar  (National Institute of Science and Technology, India) and Motahar Reza  (National Institute of Science and Technology, India)

 

Scalable Real Time Rule Engine Model

P Murali Krishna (Sri Sathya Sai Institute of Higher Learning, India) and Pallav Kumar Baruah (Sri Sathya Sai Institute of Higher Learning, India)

 

Parallelization of the PIC-MCC algorithm for Plasma Simulation on Intel Multicore and Manycore Architectures

Anusha Phadnis (Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India), Keval Shah (Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India), Miral Shah (Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India)and Bhaskar Chaudhury (Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, India)

 

A Concurrent Graph Object

Sathya Peri (Indian Institute of Technology Hyderabad, India), Muktikanta Sa (Indian Institute of Technology Hyderabad, India)and Nandini Singhal (Indian Institute of Technology Hyderabad, India)

 

Parallel Implementation Of Screen Content Video Compression based on Block Classification Scheme

Manoj Kumar (Sri Sathya Sai Institute of Higher Learning, India), Digendra Rai (Sri Sathya Sai Institute of Higher Learning, India), Abhishek Gupta (Sri Sathya Sai Institute of Higher Learning, India) and Pallav Kumar Baruah (Sri Sathya Sai Institute of Higher Learning, India)

 

Improved I/O in DNS code for Cloud Dynamics on 2D processor topology

Lois Thomas (Indian Institute of Tropical Meteorology, India), Bipin Kumar (Indian Institute of Tropical Meteorology, India), Sandeep Jayakumar (Indian Institute of Tropical Meteorology, India), Neethi Suresh (Indian Institute of Tropical Meteorology, India), Suryachandra A Rao (Indian Institute of Tropical Meteorology, India)and Ravi S Nanjundiah (Indian Institute of Tropical Meteorology, India)

 

Schedule Space Exploration of Nested Parallel Loops

Vandana Kulkarni (PES University, India) and Shilpa Babalad (Indian Institute of Science, India)

 

A Fast GPU-based Global Sampling Method for Alpha Matting on High Resolution Images

Abhinay B (Sri Sathya Sai Institute of Higher Learning, India)., Anirudh Kalwa (Sri Sathya Sai Institute of Higher Learning, India)., Bhanu Teja Jakkana (Sri Sathya Sai Institute of Higher Learning, India). and Pallav Kumar Baruah (Sri Sathya Sai Institute of Higher Learning, India)

 

Hardware Acceleration of Boyer Moore Algorithm

Pranav H S (R V College of Engineering, Bangalore, India) and Madhura Purnaprajna (Amrita School of Engineering, Bangalore, India)

 

Architectural Support for Systems with Non-Volatile Memory

Arpit Joshi (The University of Edinburgh, United Kingdom) Vijay Nagarajan  (The University of Edinburgh, United Kingdom), Stratis Viglas (The University of Edinburgh, United Kingdom) and Marcelo Cintra (Intel, Germany)

 

HBasechianDB2.0 – A Scalable Blockchain Framework on Hadoop Ecosystem

Manuj Subhankar Sahoo (Sri Sathya Sai Institute of Higher Learning, India), Digendra Rai (Sri Sathya Sai Institute of Higher Learning, India), Sai Lakshman P (Sri Sathya Sai Institute of Higher Learning, India),  Pallav Kumar Baruah  (Sri Sathya Sai Institute of Higher Learning, India)and Adarsh Saraf (Sri Sathya Sai Institute of Higher Learning, India)

 

Parallel Implementation of Neighbourhood Repulsed Metric Learning

Sathyanarayanan Kumar (Sri Sathya Sai Institute of Higher Learning, India), Chetan Kota (Sri Sathya Sai Institute of Higher Learning, India) and Sai Varun Rachakonda (Sri Sathya Sai Institute of Higher Learning, India)

 

Optimization of Spark Shuffle Phase

Geetha J (Ramaiah Institute of Technology, India), Chayanika Bhandary (Ramaiah Institute of Technology, India) and Aasia Afreen (Ramaiah Institute of Technology, India)

 

Accelerating Influence Maximization using Heterogeneous Algorithms

Mridul Haque (Indian Institute of Information Technology Guwahati, India) and Dip Sankar Banerjee (Indian Institute of Information Technology Guwahati)

 

Partitioning in Apache Spark

J Geetha Reddy (Ramaiah Institute of Technology, India) and H.S. Sreeyuktha (Ramaiah Institute of Technology, India)

 

GPUScheduler : User Level Preemptive Scheduling for NVIDIA GPUs

Shaleen Garg (International Institute of Information Technology Hyderabad, India), Kishore Kothapalli (International Institute of Information Technology Hyderabad, India), and Suresh Purini (International Institute of Information Technology Hyderabad, India)

 

Optimizing Molecular Dynamics Acceleration on Parallel Computers

Anu George (Amrita University, India), Noujaz V (Acceleron Labs Pvt. Ltd, India), Narayanan Ms (Acceleron Labs Pvt. Ltd, India), Prasad Lk (Acceleron Labs Pvt. Ltd, India), Prashanth Athri (Amrita University, India), and Madhura Purnaprajna (Amrita University, Bangalore, India)

 

Deep Learning Strategies for Predicting Iterative Stencil Computations

Aditya Natarajan (College of Engineering Guindy, Anna University, India), Thanasekhar Balaiah (Madras Institute of Technology, Anna University, India), and Ranjani Parthasarathi (College of Engineering Guindy, Anna University, India)

 

Microbenchmarking Tesla K20 GPU for estimating execution time of a CUDA program

Gargi Alavani (BITS Pilani K. K. Birla Goa Campus, India) and Bharat Arora (BITS Pilani K. K. Birla Goa Campus, India)

 

Incremental PageRank and k-Core for Dynamic Graphs

Siddharth Jaiswal (Department of Computational and Data Sciences, IISc Bangalore, India), Tilak Naik (Computer Science and Engineering, MS Ramaiah Institute of Technology, India) and Yogesh Simmhan (Department of Computational and Data Sciences, IISc Bangalore, India)

 

Distributed Querying over Compressed Property Graphs

Swapnil Gandhi (Indian Institute of Science Bangalore, India), Sayandip Sarkar (Indian Institute of Science Bangalore, India), Abhilash Sharma (Indian Institute of Science Bangalore, India) and Yogesh Simmhan (Indian Institute of Science Bangalore, India)

 

High Performance Algorithms for Learning Exact Bayesian Networks

Subhadeep Karan (University at Buffalo, United States) and Jarosalw Zola (University at Buffalo, United States)

 

 

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