13th HiPC Student Research Symposium (SRS)




HiPC 2021 will feature the 13th Student Research Symposium 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 IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – 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 2021 conference.


Accepted Posters


The following are the posters that have been accepted.

  • Virendra Nikam, Sheetal Dhande, “A Best Fit Strategic Approach for Sample Selections of a Carrier to Minimizing Quantization Error”
  • Shubham Kumar Goswami, Vinod Jacob Matthew, Konduri Aditya, “A Low-storage Runge-Kutta Time Integration Method for Scalable Asynchrony-tolerant Numerical Schemes”
  • Athanasios Kastoras, Kevser İldeş, Kai Keller, Leonardo Bautista-Gomez, “Accelerating Checkpoint/Restart with Lossy Methods”
  • Akash Sachan, Rakesh Kumar, Bibhas Ghoshal, “Application Driven Energy Efficiency in Embedded GPUs”
  • Ish Kool, Alish Kanani, Rajat Bhattacharjya, “Approximating Communication Systems: Reality or Fantasy?”
  • Aaptha B V, Ankith B V, Aryan Sharma, Madhura Purnaprajna, “Cardiac Anomaly Detection Models for Wearable Devices”
  • Prashanthi S K, Sai Anuroop Kesanapalli, Aakash Khochare, Yogesh Simmhan, “Characterizing the Performance of Deep Learning Workloads on Accelerated Edge Computing Devices”
  • Aman Sharma, Pallav Baruah, “GenAlign++ – An Improved Pairwise Compressed DNA Sequence Alignment with GPU-acceleration”
  • Divy Pandey, Vishesh Mishra, Saurabh Singh, Sagar Satapathy, Babita Jajodia, “HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications”
  • Animesh Baranawal, Varad Kulkarni Vinod, Yogesh Simmhan, “ICM++: Enhancing the Execution Model for Interval-centric Distributed Graph Computation”
  • Riddhi Tanna, Vishwa Shah, Dishita Thaker, Shruti Agrawal, Bhaskar Chaudhury, Sidharth Kumar, “Parallel Implementations of Arithmetic Encoding on Shared Memory Systems”
  • B.S. Ananya, M.D. Nehal Chakravarthy, M.R. Anala, “Real Time Traffic Sign Recognition for Autonomous Vehicles using deep learning”
  • Suman Raj, Harshil Gupta, Yogesh Simmhan, Sougat Shome, “Real-Time Edge Analytics of Video Feeds from a UAV Fleet”
  • Srinivasan Ramesh, Allen Malony, Robert Ross, Philip Carns, Matthieu Dorier, Kevin Huck, “SYMBIO: Enabling Observability and Adaptivity of High Performance Data Services”






Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below.


High-Performance Computing

Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to):

  • New parallel and distributed algorithms and design techniques;
  • Advances in enhancing algorithmic properti​_es or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding);
  • Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models);
  • Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and
  • Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management).

Architectures: This track invites papers that describe original research on the design and evaluation of high-performance computing architectures, and related advances. Examples of topics of interest include (but not limited to):

  • Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors);
  • Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, networwp-admin/k-on-chip);
  • Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O);
  • Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and
  • Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures).

Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to):

  • Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.);
  • Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming);
  • Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and
  • Design of application benchmarks for parallel and distributed platforms.

Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high-performance computing platforms, and related advances. Examples of topics of interest include (but not limited to):

  • Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services);
  • Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling);
  • Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging);
  • Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and
  • Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms).


Data Science

Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to):

  • New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery);
  • Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams);
  • Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics);
  • Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and
  • Scalable algorithms that ensure the transparency and fairness of the analysis.

Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to):

  • Design of scalable system software to suppor​_t various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications);
  • Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs);
  • Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop);
  • Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and
  • Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes).


Important Dates


Submission Opens: August 19, 2021

Submission Deadline: September 17, 2021 October 01, 2021

Accept/Reject Decision Notification: November 01, 2021

Symposium: December 17-18, 2021




Submissions should have at least one author who is a student during any part of the calendar year 2021. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*).


Submission Instructions


In order to be considered for a poster at the Student Research Symposium, authors must submit papers/extended abstracts, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1” margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2021

The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified.

Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected.



Symposium Chairs


Ashok Srinivasan, University of West Florida, USA
Dip Sankar Banerjee, Indian Institute of Technology Jodhpur, India


Technical Program Committee


Ashok Srinivasan (Co-chair), University of West Florida

Dip Banerjee (Co-chair), Indian Institute of Technology  Jodhpur

Vikram Aggarwal, Google
Jayvant Anantpur, Mentor Graphics India Pvt Ltd
Manu Awasthi, Ashoka University
Suren Byna, Lawrence Berkeley National Laboratory
Venkatachalam Chandrasekaran, Sri Sathya Sai Institute of Higher Learning
Mainak Chaudhuri, Indian Institute of Technology Kanpur
Meysam Ghaffari, Memorial Sloan Kettering Cancer Center
Subramaniam KV, PES University
Dumitrel Loghin, National University of Singapore
Arash Mahyari, Florida Institute for Human and Machine Cognition
Amit Majumdar, University of California San Diego, San Diego Supercomputer Center
Sreepathi Pai, University of Rochester
Madhura Purnaprajna, PES University
Subodh Sharma, Indian Institute of Technology Delhi
Jaya Sreevalsan-Nair, International Institute of Information Technology Bangalore
Parimala Thulasiraman, University of Manitoba
Hemanth Venkateswara, Arizona State University




Write to us at student_symposium [AT] hipc [DOT] org for more details.