26Th IEEE International Conference on High Performance Computing, Data, and Analytics Hyderabad, India  December 17-20, 2019

26th IEEE International Conference on High Performance Computing, Data, and Analytics Hyderabad, India  December 17-20, 2019

PROGRAM OVERVIEW

HiPC 2019 marks the return of the conference to Hyderabad, helping to expand broader participation in India. Our full program runs four days, with workshops and tutorials on Day 1, student programs, exhibits and industry events on Days 1, 2 and 3, and the formal technical program of plenary sessions presented on Days 2, 3, and 4. This year there will be several special events to highlight research in India and the industry-academia partnership that is driving it.

KEYNOTE SPEAKERS

Wednesday, December 18th – Keynote 1

Data Flow Execution Models - a Third Opinion

Vivek Sarkar, Georgia Institute of Technology

Thursday, December 19th – Keynote 2

Genome Sequencing For Disease Diagnosis: The Confluence of Biology and Computing

Ramesh Hariharan, Strand Life Sciences

Thursday, December 19th – Keynote 3

Delivering the Future of High-Performance Computing

Mark Papermaster, AMD

Friday, December 20th – Keynote 4

The New World of Heterogeneous AI/ML High Performance Computing with Intel FPGAs

José Roberto Alvarez, Intel

16 December 2019 edition TECHNICAL PROGRAM The HiPC 2019 technical program on Days 2, 3 and 4 will consist of 39 peer reviewed papers chosen from over 170 submissions from all over the world submitted. The papers will be presented in seven plenary sessions and will cover important and timely topics in all areas of high performance computing and data science. There are four keynote speakers this year will open the morning plenary sessions. On Day 3 there will be an invited technical session featuring research with and “Indian flavor” organized by India academic researchers. WORKSHOPS Three workshops covering diverse topics complementary to the conference technical program will be held on Day 1 of the conference.

1. Workshop on Data Science for Future Energy Systems 2. Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers Workshop 3. 2nd Workshop on Education for High Performance Computing (EduHiPC 2019)

On Day 2, the workshop Women in Computing returns for the 2nd year, now named Women in Data Science and Computing. Peer reviewed papers selected for presentation in these workshops are included in the proceedings. Abstracts for keynote speakers and invited speakers are included in the Workshop Introduction file in the proceedings as well as the individual webpages for the workshops.

STUDENT RESEARCH SYMPOSIUM The 12th HiPC Student Research Symposium is aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments in HPC. The symposium also gives students exposure to the best practices of senior HPC researchers in academia and industry. The papers selected will be presented as posters on display at the end of Day 1 and all of Day 2 with students available for 2 hours of presentation on both days.

INDUSTRY-ACADEMIC BoF SESSIONS HiPC attracts participants from academia and industry and serves as a natural place to develop stronger ties between academia and industry. Panel members invited from both sectors will convene on Day 2 to explore how to encourage and strengthen partnerships that help drive research initiatives in India. Also planned for later that day is a special BoF on the Scaling Challenge.

INDUSTRY EVENTS The conference welcomes (and strongly encourages) industry participation on all days at all levels including in the technical program and student symposium. The industry/research exhibition, which starts at the end of Day 1 and continues through Days 2 and 3 will include booths and demonstrations and will showcase products, services and current work from vendor companies and R&D laboratories. Two Industry, Research and Users Symposium (IRUS) sessions will be held on Days 2 and 3 and will bring together solution providers and users of HPC and Data Science in a forum to discuss platforms and technologies and best practices. Two lead sponsors will conduct technical sessions: Shell on Day 2 and AMD on Day 3.

HiPC 2019 Venue and Meeting Rooms Our host is the Novotel Hyderabad Convention Centre Hotel. Many attendees will be familiar with this venue and appreciate the meeting facilities it provides. Registration will be in the lobby atrium area on the ground floor near the HICC entrance. The industry exhibits and the Main Hall where plenary events will be held are also on the ground floor. Other events including SRS posters will be in meeting rooms on the first floor up the escalator or elevator from the ground floor.

HiPC 2019 (Hyderabad) Program Page 2 HiPC 2019 PROGRAM DAILY SCHEDULE

Check the Mobile App and postings at the venue for up-to-date information on locations and schedules for each event. The following shows time and location for all events.

December 17 Tue Breakfast @ 7:00am – Lunch @ 1:00 – Dinner @ 7:00 pm TBA Tue Breaks: Morning Break@ 10:30 – Afternoon @ 4:00 TBA Tue 8:30 AM 5:00 PM Industry Exhibit Booth Set-up Open Space - Lobby Area Tue 8:30 AM 2:00 PM Student Research Symposium Poster Set-up MR.01.05 Tue 8:30 AM 6:30 PM Academia BOF (Microsoft) MR.01.04 Tue 8:30 AM 1:00 PM Workshop 1: Future Energy Systems MR.01.01 Tue 8:30 AM 1:00 PM Tutorial 1: Deep Learning/Computer Vision MR.01.02 Tue 8:30 AM 6:30 PM Workshop 3: EduHiPC Main Hall Tue 2:00 PM 6:30 PM Workshop 2: Multi-tier Big Data MR.01.01 Tue 2:00 PM 6:30 PM Tutorial 2: GPU Programming MR.01.02 Tue 2:00 PM 4:00 PM Student Research Symposium Display & Presentation MR.01.05 Tue 6:30 PM 7:30 PM Industry Demos & Exhibits Open Space - Lobby Area Tue 6:30 PM 7:00 PM Industry Gala Opening Main Hall Tue 7:00 PM 9:30 PM Dinner TBA December 18 Wed Breakfast @ 7:00 – Lunch @ 12:00 TBA Wed Breaks: Morning @ 9:30 – Afternoon @ 3:00 TBA Wed 8:00 AM 8:30 AM HiPC 2019 Inauguration Main Hall Wed 8:30 AM 9:30 AM Keynote Talk 1: Vivek Sarkar Main Hall Wed 10:00 AM 12:00 PM Tech Session 1: Algorithms for Graphs & Emerging Platforms Main Hall Wed 10:00 AM 12:00 PM IRUS Session 1: AI in Drug Development MR.01.03 Wed 10:00 AM 5:15 PM Industry Demos & Exhibits Open Space - Lobby Area Wed 1:00 PM 3:00 PM Student Research Symposium Display & Presentation MR.01.05 Wed 1:00 PM 3:00 PM Tech Session 2: Data Management & Visualization Main Hall Wed 1:00 PM 3:00 PM Panel: Industry-Academic Partnership MR.01.02 Wed 3:15 PM 5:15 PM Tech Session 3: Applications and Learning Main Hall Wed 3:15 PM 5:15 PM Sponsored Tech Session: Shell MR.01.03 Wed 3:15 PM 6:15 PM Women in Data Science & Computing (Workshop) MR.01.01 Wed 5:30 PM 6:30 PM Special BoF for Industry: Scaling Challenge MR.01.03 December 19 Thu Breakfast @ 7:00 – Lunch @ 12:00 TBA Thu Breaks: Morning Break@ 9:30 – Afternoon @ 3:00 TBA Thu 8:00 AM 8:30 AM Volunteer Award Ceremony Main Hall Thu 8:30 AM 9:30 AM Keynote Talk 2: Ramesh Hariharan Main Hall Thu 10:00 AM 12:00 PM Tech Session 4: Accelerated Learning Main Hall Thu 10:00 AM 12:00 PM IRUS Session 2: AI at scale MR.01.03 Thu 10:00 AM 7:00 PM Industry Demos & Exhibits Open Space - Lobby Area Thu 1:00 PM 2:00 PM Keynote Talk 3: Mark Papermaster Main Hall Thu 2:00 PM 3:30 PM Invited Technical Session: India Research Main Hall Thu 3:45 PM 5:30 PM Tech Session 5: Storage and Communication Main Hall Thu 3:30 PM 5:15 PM Sponsored Tech Session: AMD MR.01.03 Thu 5:15 PM 6:30 PM Social Mixer Atrium-Foyer Ground Floor Thu 6:30 PM 9:30 PM Banquet & Awards Main Hall December 20 Fri Breakfast @ 7:30 – Break @ 9:30 – Lunch @ 12:00 Fri 8:30 AM 9:30 AM Keynote Talk 4: José Roberto Alvarez Main Hall Fri 10:00 AM 12:00 PM Tech Session 6: Storage, Fault tolerance, and Resilience Main Hall Fri 1:00 PM 3:00 PM Tech Session 7: Parallel and Data Frameworks Main Hall

HiPC 2019 (Hyderabad) Program Page 3 Day 1 - Tuesday, December 17 Breakfast @ 7:00, Breaks @ 10:30 and 4:00, Lunch @ 1:00, Dinner @ 7:00

HiPC 2019 WORKSHOP 1: 1st Workshop on Data Science for Future Energy Systems

Organizers: Sanmukh R. Kuppannagari and Chayan Sarkar

8:30-9:00 Opening Remarks from the Workshop Organizers

9:00-10:00

On Using Graph Signal Processing for Electrical Load Disaggregation B. Subbareddy (IIT Hyderabad), Kriti Kumar (TCS Research and Innovation, Bangalore) and M. Girish Chandra (TCS Research and Innovation, Bangalore)

Variations in residential electricity demand across income categories in urban Bangalore: Results from primary survey Sashi Kiran Challa (National Institute of Advanced Studies, IISC Campus, Bangalore), Shoibal Chakravarty (Ashoka Trust For Research In Ecology And The Environment, Bangalore) and Kshitija Joshi (National Institute of Advanced Studies, IISC Campus, Bangalore)

10:00-10:30 Closing Remarks

HiPC 2019 WORKSHOP 2: Multi-tier Big Data Pipelines from Edge to the Cloud Data Centers Workshop

Organizers: Vlado Stankovski,Rajkumar Buyya, and Shashikant Ilager

2:00-3:30 PM Keynote Talk 1: Decentralised technologies for orchestrated cloud-to-edge intelligence Keynote Speaker: Domenico Siracusa (Head of the RiSING Research Unit at FBK CREATE- NET, Italy)

3:30 – 4:00 PM Intelligent Deep Reinforcement Learning based Resource Allocation in Fog network Presenters: Divya. V, Leena Sri

Break: 4:00 – 4:30 PM

4:30 – 5:00 PM Wireless Water Quality Monitoring and Quality Deterioration Prediction System Presenters: Anala M R

5:00 – 5:30 PM Improving Throughput of BigData Applications Presenters: Janardhana Reddy Naredula

HiPC 2019 (Hyderabad) Program Page 4 HiPC 2019 WORKSHOP 3: Workshop on Education for High Performance Computing (EduHiPC 2019)

8:30 – 8:50 Organizers Welcome: Sheikh Ghafoor, Ashish Kuvelkar

8:50– 9:30 Keynote (Session Chair: Jaya Panvalkar) Dr. Vijay Bhatkar Getting Ready for the Emerging Challenge of Massively Parallel Programming Paradigm

9:30– 10:00 Coffee Break, Poster Setup

10:05– 11:20 Paper Session A (Session Chair: Virendra Bhavsar)

Preeti Malakar Experiences of Teaching Parallel Computing to Undergraduates and Post-graduates

V. Venkatesh Shenoi, Vaishali Shah HPC Education for domain scientists: An Indian experience and perspective

Prasun Dewan Visually Introducing to Freshmen Low-Level Java Abstractions for Creating, Synchronizing and Coordinating Threads

11:20 – 12:00 Poster Lightning Talk Session Session Chair: Chitra Pandian

Lunch -12:00– 1:30

1:30 – 3:30 Invited Talks (Session Chair: Ritu Aurora)

Henry Gabb, Intel, USA Future of Parallel Computing

Prasun Dewan, University of North Carolina, USA Techniques for Automating Assessment of Parallel Programming Assignment’s

Bharatkumar Sharma, Senior Solution Architect, South Asia, Nvidia Reskilling to match the needs of Exascale Architectures

Break - 3:30– 4:00 PM

4:00– 4:50 Paper Session B (Session Chair : Chitra Pandian)

Carlos Redondo, Ritu Aurora, and Trung Nguyen Ba Theoretical and Practical Approaches to Teaching Parallel Code Correctness

Abu Zaher Md Faridee and Vandana Janeja Measuring Peer Mentoring Effectiveness in Computing Courses: A case Study in Data Analytics for Cyber Security

4:50 – 5:30 Town Hall: Parallel & Distributed Computing Education in Undergraduate Status, Challenges, and Path Forward

5:30 – 5:40 Best Paper Announcement and Closing Remarks

HiPC 2019 (Hyderabad) Program Page 5

Tutorial 1: Deep Learning for Computer Vision Applications: A Case Study 8:30 AM – 1:00 PM Presenters: Anuradha Karuppasamy, Anant Gupta and Mahesh Babu Jayaraman, Ericsson GAIA, India

Tutorial 2: GPU programming made easy with OpenMP 2:00 PM – 6:30 PM Presenters: Pidad D’Souza and Aditya Nitsure, IBM, India

Student Research Symposium (SRS) Starts at 2:00 PM – Tuesday, December 17th Posters will be on display on Days 1 and 2 of the conference. Presentation sessions with students at their poster to present and answer questions will be as follows: Day 1, December 17th: 2-4 PM Day 2, December 18th: 1-3 PM

Health Monitoring of Civil Structures with UGV using Mask R-CNN Algorithm Jaswanth S and Jayashree L S

Framework for Analysis and Detection of Fraud in Health Insurance Nirmal Rayan

Development of Agriculture Chatbot using Machine Learning Techniques Prashant Niranjan, Vijay Rajpurohit and Rasika Malgi

Using Optimistic Synchronization for Real-Time User Interactions in a Distributed Network Simulation Naman Merchant, Ruth Falconer and Adam Sampson

Performance Evaluation of Pipes-and-Filters Architectural Pattern in Multicore Environment Mohit Mishra, Rushikesh Shimpi, Varun Parashar and Ankur Singh

A Hybrid Graph Coloring Algorithm for GPUs Shanthanu S Rai, Rohit M P and Sreepathi Pai

Graph Based Algebraic Multigrid Method Manan Shah and Dr. Sashikumaar Ganesan

Application of high-performance computing for calculating reserves using the Cape Cod method Ajay Singh Pawar, S.R.Pranav Sai, Satya Sai Mudigonda and Pallav Kumar Baruah

Feasibility study of an inter-operable data analysis platform for clinical data Sai Kiran Ediguttu, Rajkumar Kokkilagadda, Bhaskaran Venkatsubramaniam, Subba Rao G V R and Pallav Kumar Baruah

Heterogeneity-aware data placement to exploit maximum resource utilisation in big-data processing frameworks Shanmugasundaram Vengadeswaran and Sadhu Ramakrishnan Balasundaram

Prediction of Cascading Popularity, A Feature Based Approach Kesavan M, Sandeep Sahu, and Ajith Padyana

Accelerating Image-based concrete crack detection using random forest on Deep Convulation Neural Network Bhumik Varu, Sumitav Acharya, Shivangi Shreya and Motahar Reza

Network and Load-aware Node Allocator for MPI Programs Ashish Kumar, Naman Jain and Preeti Malakar

HiPC 2019 (Hyderabad) Program Page 6

A Dynamic Base Data Compression Technique for the Last-Level Cache Shreya Jayateerth Joshi, Prashant Mata, and Nanditha Rao

Human Emotion Recognition from Spontaneous Thermal Image Sequence using GPU Accelerated Emotion Landmark Localization and Parallel Deep Emotion Network Chirag Kumar Kyal, Harsh Poddar and Motahar Reza

A Parallel PCA Based Face Recognition Algorithm on Distributed Memory System: Application on Distorted Images Kunal Jani and Bhaskar Chaudhury

Accelerating convolutions using 1-directional dataflow accelerator Priyal Chhatrapati, Pragnesh Patel, Anmol Sahoo, and Kamakoti Veezinathan

Parallel Smoothers in Multigrid Method for heterogeneous CPU-GPU environment Neha Iyer and Sashikumaar Ganesan

Distributed Edge Storage using Erasure coding with differential reliability Abdun Nihaal, Sheshadri K R and Yogesh Simmhan

Early Prediction of Coronary Heart Disease using Machine Learning Anjali Kumari, Divya Krishnani, Akash Dewangan, Aditya Singh and Nenavath Srinivas Naik

Disastro – Real-Time Twitter-based Disaster Response System for Indian Scenarios Krishna Kanth A, Gayathri Sowmya G, Abirami S and Chitra P

ACEP: An Accuracy-Configurable Carry Estimating Parallel Adder Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, and Kaustav Goswami

FPGA Fabric Conscious High Speed Design and Scan Insertion through Efficient Logic Utilization Ayan Palchaudhuri, Sandeep Sharma and Anindya Sundar Dhar

Fake News Detection using Deep Learning based Natural Language Processing Vinayak Bhartia, Saanika Gupta, Avani Gupta and Nenavath Srinivas Naik

A Comprehensive Job Monitoring and Analysis Framework Ashish Pal and Preeti Malakar

Fraud Detection on Automobile Insurance Industry using SPARK Goli Uma Sankar, Pallav Kumar Baruah, and Sathya Sai Mudigonda

Semi-supervised Subject Recognition through Pseudo Label Generation in Ubiquitous Sensor Data Sourish Gunesh Dhekane, Krishnam Vajra and Dip Sankar Banerjee

A Novel Real-time Scalable Recommender System using Collaborative Filtering and NLP Techniques G Sai Akhilesh, D Gautham Sreeram, B Sateesh, R Raghunatha Sarma, Chandra Sekhar Malladi, and Pallav Kumar Baruah

Behavior Analysis through Routine Cluster Discovery in Ubiquitous Sensor Data Manan Sharma, Shivam Tiwari, and Suchetana Chakraborty

An Empirical Study on Efficient Storage of Human Genome Data Diksha Chaudhary, Bratati Kahali and Yogesh Simmhan

Drone Video Management System Ankit Barai, Pradyumna Ym, Aakash Khochare and Yogesh Simmhan

Parallel Block-Structured Mesh Refinement based Fluid Simulations of Plasma Vishrut Jetly, Bhargav Jethwa, Pratik Ghosh and Bhaskar Chaudhury

Interval centric indexing for temporal reachability queries Animesh Baranawal and Yogesh Simmhan

HiPC 2019 (Hyderabad) Program Page 7 6:30 PM – 7:30 PM Tuesday, December 17

Industry Demos & Exhibits: Plenary Industry Gala Opening Followed by dinner

Starts at 6:30 PM Tuesday, December 17 All Day on Wednesday, December 18 and Thursday, December 19

Industry/Research Exhibition

Below are the HiPC 2019 industry sponsors showing their level of support. Most will be providing exhibits and demonstrations on all three days of the exhibition. Attendees are invited to visit booths and check posted schedules for demonstrations and talks and collect materials these exhibitors have prepared for the conference. Industry support underwrites lower registration fees for India based academic researchers, faculty, and students.

PLATINUM AMD Shell

GOLD Boston Google Infosys Intel Samsung SREE Vidyanikethan Xilinx

EXHIBITORS Auk Computing AWS Lenovo NEC NetApp Netweb Technologies

HiPC 2019 (Hyderabad) Program Page 8 Day 2 - Wednesday, December 18 Breakfast @ 7:00, Breaks @ 9:30 and 3:00, Lunch @ 12:00 (1 hour)

8:00 AM – 8:30 AM Wednesday, December 18th

Plenary Session: Conference Inauguration and Opening Remarks

8:30 AM – 9:30 AM Wednesday, December 18th

HiPC 2019 Keynote Presentation 1

Data Flow Execution Models - a Third Opinion Vivek Sarkar, Georgia Institute of Technology

Abstract: Since their introduction five decades ago, data flow execution models have influenced the design of generations of parallel hardware and software with their decentralized approaches to control and data. At the same time, many limitations of the data flow approach have also been identified, especially with respect to the overheads of distributed control and lack of locality management. Some of these limitations were also identified in the 1982 paper titled “A Second Opinion on Data Flow Machines and Languages”.

10:00 AM – 12:00 PM Wednesday, December 18

Technical Session 1: Algorithms for Graphs and Emerging Platforms

HyDetect: A Hybrid CPU-GPU Algorithm for Community Detection Anwesha Bhowmik and Sathish Vadhiyar

Distributed Relational Algebra at Scale Sidharth Kumar and Thomas Gilray

Optimizing Breadth-First Search at Scale Using Hardware Accelerated Collectives Khaled Ibrahim

Shared-Memory Parallel Maximal Biclique Enumeration Apurba Das and Srikanta Tirthapura

A Deterministic Multi-Layered Partitioning Tool for Wire-length Reduction of Monolithic 3D-IC Soumendu Ghorui, Sabyasachee Banerjee and Subhashis Majumder

Mapping Arbitrarily Sparse Two-body Interactions on One-dimensional Quantum Circuits Arif Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen and Sriram Krishnamoorthy

10:00 AM – 12:00 PM Wednesday, December 18

IRUS Session 1: Artificial Intelligence (AI) in Drug Development

Moderator: Dr. Sudip Roy Abstract: The scientific world is moving towards adopting machine learning (ML), deep learning (DL) technologies which are termed as artificial intelligence (AI). The pharmaceutical industry to quickly accessing the progresses in these new technologies and rapidly integrating them in their drug development cycle. The overarching goal of AI in healthcare is to improve human life. So, the innovation is going on with high hopes around better drugs, better diagnostics, medical applications and cure for life threatening diseases. Here we will address some key developments in the drug discovery area and see how current state of AI is getting implemented in the pharmaceutical industry. Alongside we will bring to attention some areas where research and innovation are progressing rapidly, and globally, researchers, government, and social organizations have started finding ways to implement these technologies.

HiPC 2019 (Hyderabad) Program Page 9 1:00 PM – 3:00 PM Wednesday, December 18

Technical Session 2: Data Management and Visualization

Replaceability based Web Service Selection Approach • Lalit Purohit and Sandeep Kumar

Analysis in the Data Path of an Object-centric Data Management System Richard Warren, Jerome Soumagne, Jingqing Mu, Houjun Tang, Suren Byna, Bin Dong and Quincey Koziol

Exploring Metadata Search Essentials for Scientific Data Management Wei Zhang, Suren Byna, Chenxu Niu and Yong Chen

Designing a Profiling and Visualization Tool for Scalable and In-Depth Analysis of High-Performance GPU Clusters Pouya Kousha, Bharath Ramesh, Kaushik Kandadi Suresh, Ching-Hsiang Chu, Arpan Jain, Nick Sarkauskas, Hari Subramoni and Dhabaleswar Panda

Tuning Object-centric Data Management Systems for Large Scale Scientific Applications Houjun Tang, Suren Byna, Stephen Bailey, Zarija Lukic, Jialin Liu, Quincey Koziol and Bin Dong

k-NN Sampling for Visualization of Dynamic data using LION-tSNE Dharamsotu Bheekya, K Swarupa Rani, Salman Abdul Moiz and C. Raghavendra Rao •

1:00 PM – 3:00 PM Wednesday, December 18

Panel: Fostering Industry Academia Partnership

Abstract: HiPC attracts participants from academia and industry and serves as a natural place to develop stronger ties between academia and industry. The goal of this session will be to have panelists from both industry and academia to discuss how to encourage and strengthen partnerships that help drive research initiatives in India.

Invited Panelists:

Academia: Dr. Uday Desai, IIT Hyderabad Dr. P J Narayanan, IIIT Hyderabad Vishnu Manchu, CEO, Sree Vidyaniketan University Trust Dr. Chakravarthy Bhagvati, Central University, Hyderabad Dr. Pallab Barua, Sri Satya Sai Insititute of Higher learning Dr. Govindarajan, IISc Bengaluru

Industry: Prakash Raghvendra, AMD Fellow, Bengaluru, India Dr. Ashish Tendulkar, Machine Learning Architect (GPay), Google research, Bengaluru Sandeep Kohli, VP of Engineering at Flipkart

Moderator: Rama Govindaraju, Engineering Director, Google Platforms Engineering, Sunnyvale

HiPC 2019 (Hyderabad) Program Page 10 3:15 PM – 5:15 PM Wednesday, December 18

Technical Session 3: Applications and Learning

Efﬁcient Parallel Multi-bunch Beam-Beam Simulation in Particle Colliders Ioannis Sakiotis, Kamesh Arumugam, Desh Ranjan, Balsa Terzic and Mohammad Zubair

Bit-wise and Multi-GPU Implementations of the DNA Recombination Algorithm Elnaz Tavakoli Yazdi, Ankur Limaye, Ali Akoglu, Tosiron Adegbija and Adam Buntzman

Hierarchical Filter and Refinement System over Large Polygonal Datasets on CPU-GPU Yiming Liu, Jie Yang and Satish Puri

Geostatistical Modeling and Prediction using Mixed Precision Tile Cholesky Factorization Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc Genton and David Keyes

Acceleration of Sparse Vector Autoregressive Modeling using GPUs Shreenivas Bharadwaj Venkataramanan, Yogish Sabharwal and Rahul Garg

Fast and Accurate Learning of Knowledge Graph Embeddings at Scale Udit Gupta and Sathish Vadhiyar •

3:15 PM – 5:15 PM Wednesday, December 18

Sponsored Tech Session: Shell

Anomaly Detection and Predictive Asset Maintenance Abstract: Anomaly detection is the process of identifying unexpected events/behavior in data, which differ from the norm. In a complex system comprising several rotating as well as non-rotating equipment, monitoring the health of such equipment via anomaly detection is important from the perspective of minimizing unplanned downtime, maximizing productivity and extending the life of the overall system.

3:15 Welcome to the audience: Venkatesh Madyastha, Chair

3:20 Talk Predictive AI to prevent unplanned shutdowns in Ammonia Plants – Arjun Bhattacharyya

3:45 Talk Airplane health management – Seema Chopra

4:10 Talk Novel method of mixture density estimation and its application on sensor limit estimation and process monitoring – Swanand Khare

4:45 Talk Anomaly detection of rotating and non-rotating equipment via mutual information – Asmi Rizvi Khaleeli

5:00 - 5:15: Open mic discussion to exchange thoughts and ideas on predictive maintenance and concluding remarks

HiPC 2019 (Hyderabad) Program Page 11 3:15 PM – 6:15 PM Wednesday, December 18

Women in Data Science & Computing (Workshop)

3:15 Introduction

Keynote-Talk 1 Internet of Things – Reshaping our future Deepthi Lakkaraju, Qualcomm

Keynote-Talk 2 Technology Innovation for Social Good Madhuri Duggirala, Google

Keynote-Talk 3 Technology for meeting the SDGs by 2030 Dr. Suman Kapur, Xcellence in Bio Innovations and Technologies Pvt.Ltd and BITS Pilani Hyderabad

Poster session + Break (15min)

Contributed Papers:

Disastro – Real Time Twitter based Disaster Response System for Indian Scenarios Krishna Kanth, Abirami S, Chitra P and Gayathri Sowmya G.

An Empirical Study on Efficient Storage of Human Genome Data Diksha Chaudhary, Bratati Kahali and Yogesh Simmhan.

Anomaly Detection in Surveillance Videos Malika Makker, Aakanksha Ashok and Anala M.R.

Open discussion with keynote speakers, event organizers, and audience Closing Remarks

5:30 PM – 6:30 PM Wednesday, December 18

Special BoF for Industry: Scaling Challenge

Details to be announced

HiPC 2019 (Hyderabad) Program Page 12 Day 3 – Thursday, December 19 Breakfast @ 7:00, Breaks @ 9:30 and 3:00, Lunch @ 12:00 (1 hour)

8:00 AM – 8:30 AM Thursday, December 19

Volunteer Award Ceremony

8:30 AM – 9:30 AM Thursday, December 9

HiPC 2019 Keynote Presentation 2

Genome Sequencing For Disease Diagnosis: The Confluence of Biology and Computing Ramesh Hariharan, Strand Life Sciences

Abstract: The talk will describe the use of genome sequencing for diagnosing/detecting/treating genetic diseases and cancer. It will also mention the computational problems that lie at the core of this effort.

10:00 AM – 12:00 PM Thursday, December 19

Technical Session 4: Accelerated Learning

On Linear Learning with Manycore Processors Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi and Markus Püschel

SPEC2: SPECtral SParsE CNN Accelerator on FPGAs Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang and Viktor Prasanna

Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen and Mahmut Kandemir

Efficient Sparse Neural Networks using Regularized Multi Block Sparsity Pattern on a GPU Dharma Teja Vooturi and Kishore Kothapalli

Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang and Kailash Gopalakrishnan

Accelerating Data Loading in Deep Neural Network Training Chih-Chieh Yang and Guojing Cong

10:00 AM – 12:00 PM Thursday, December 19

IRUS Session 2: AI at scale

Moderator: Sundar Dev, Google, USA Abstract: The field of Artificial Intelligence (AI) has emerged as the most key technological revolutions of this century. AI has evolved from being a niche research area to one with vast and profound impact on the day to day lives of billions of people all over the world. Today, AI has applications in the fields of Agriculture, Aviation, Education, Entertainment, Finance, Healthcare, Industrial Manufacturing and Transportation among other things. Application of AI as a method to solve previously intractable problems presents a huge opportunity as well as many concerns. Particularly, a systems-level concern is scalability. In this Industry Research User Symposium session on AI @ scale, we want to explore some of these issues, get leaders from academia and industry to share their thoughts, experiences, and best practices on how they are thinking about addressing the problem of scalability in the field of AI, and also discuss how HPC can help power the field of AI to address some of these challenges.

HiPC 2019 (Hyderabad) Program Page 13 1:00 PM – 2:00 PM Thursday, December 19

HiPC 2019 Keynote Presentation 3

Delivering the Future of High-Performance Computing Mark Papermaster, AMD

Abstract: The demand for computing and graphics technologies continues to grow inexorably – from traditional HPC to emerging analytics, machine learning, and compute intensive visualization. A new era of high-performance computing is upon us, however, it is increasingly clear that the techniques used until now will not deliver the same performance advances for the future. To sustain a Moore’s Law pace of performance improvements, the semiconductor industry is focusing on new areas of innovation. AMD CTO Mark Papermaster will discuss new advances in system architecture, silicon design and software that will enable future generations of computing and graphics products to deliver more performance with greater efficiency.

2:00 PM – 4:30 PM Thursday, December 19

Technical Session 5: Storage and Communication

IsoKV: An Isolation Scheme for Key-value Stores by Exploiting Internal Parallelism in SSD Heerak Lim, Hwajung Kim, Kihyeon Myung, Heon Young Yeom and Yongseok Son

SCOR-KV: SIMD-Aware Client-Centric and Optimistic RDMA-based Key-Value Store for Emerging CPU Architectures Dipti Shankar, Xiaoyi Lu and Dhabaleswar K. Panda

High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems Ching- Hsiang Chu, Jahanzeb Maqbool Hashmi, Kawthar Shafie Khorassani, Hari Subramoni and Dhabaleswar Panda

Online Management of Hybrid DRAM-NVMM Memory for HPC Reza Salkhordeh and André Brinkmann

User-Level Scheduled Communications for MPI Derek Schafer, Sheikh Ghafoor, Daniel J. Holmes, Martin Ruefenacht and Anthony Skjellum

4:30 PM – 6:15 PM Thursday, December 19

Invited Technical Session: India Research

Enhancing cloud systems and services with GPUs Purushottam (Puru) Kulkarni, Indian Institute of Technology, Bombay

Accelerating CNN Inference on FPGAs Suresh Purini, International Institute of Information Technology, Hyderabad

A Step towards Reducing the Gap between FLOPS and Gbps Preeti Malakar, Indian Institute of Technology, Kanpur

HiPC 2019 (Hyderabad) Program Page 14 3:30 PM – 5:15 PM Thursday, December 19