[hpc-announce] IEEE HiPC 2020 Call For Participation

sanmukh at hipc.org sanmukh at hipc.org
Mon Nov 30 17:19:42 CST 2020

IEEE International Conference on High Performance Computing, Data, and
Analytics, HiPC  2020

HiPC 2020 is the 27th edition of the IEEE International Conference on
High Performance Computing, Data, and Analytics. The conference focus
is not only HPC but also includes Data Science.  Due to the COVID-19
pandemic, this year the conference will be held virtually on December
16, 17, and 18. Each day of the three day event will open with a
keynote talk, followed by two one-hour live remote sessions to present
the technical program of thirty-three peer reviewed papers. All papers
accepted for the conference will be published as part of the
proceedings that will be available before, during, and after the week
of the scheduled conference. The online publication will include both
papers and presentations (slides) for each paper. Access to the online
publication is part of the free registration to attend the virtual
live sessions. See here (https://hipc.org/register2020/) to register.
Below is the planned program schedule for the conference. Return
regularly for updates and details on how to attend. All times below
are India Standard Time (IST).

Wednesday, December 16th

Keynote Talk (9:00-10:00 AM IST)

	Kathy Yelick
University of California at Berkeley and
Lawrence Berkeley National Laboratory

Computing and Data Challenges in Climate Change

Best Papers Session (10:10 AM IST – start time)

SimGQ: Simultaneously Evaluating Iterative Graph Queries
Chengshuo Xu, Abbas Mazloumi, Xiaolin Jiang and Rajiv Gupta

WarpCore: A Library for fast Hash Tables on GPUs
Daniel Jünger, Robin Kobus, André Müller, Kai Xu, Weiguo Liu,
Christian Hundt and Bertil Schmidt

Session 1: Applications (11:20 AM IST – start time)

Towards High Performance, Portability, and Productivity: Lightweight
Augmented Neural Networks for Performance Prediction
Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan and Viktor K. Prasanna.

Performance Optimization and Scalability Analysis of the MGB Hydrological Model
Henrique R. A. Freitas, Celso Luiz Mendes and Aleksandar Ilic

Exploring Task Parallelism for the Multilevel Fast Multipole Algorithm
Michael Lingg, H. Metin Aktulga, Balasubramaniam Shanker, Stephen
Hughey and Doga Dikbayir

SparsePipe: Parallel Deep Learning for 3D Point Clouds
Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan and Sanjay Ranka

HyPR: Hybrid Page Ranking on Evolving Graphs
Hemant Kumar Giri, Mridul Haque and Dip Sankar Banerjee

Distributing Sparse Matrix/Graph Applications in Heterogeneous
Clusters -- an Experimental Study
Charilaos Tzovas, Maria Predari and Henning Meyerhenke


Thursday, December 17th

Keynote Talk (9:00-10:00 AM IST)


Animashree Anandkumar
California Institute of Technology and
Machine Learning Research, NVIDIA

Role of HPC in next-generation AI


Session 2: Scalable Data Science (10:10 AM IST – start time)

Processor Pipelining Method for Efficient Deep Neural Network
Inference on Embedded Devices
Akshay Parashar, Arun Abraham, Deepak Chaudhary and Vikram Nelvoy Rajendiran

Avoiding Communication in Logistic Regression
Aditya Devarakonda and James Demmel

A Parallel and Scalable Framework for Insider Threat Detection
Abdoulaye Diop, Nahid Emad and Thierry Winter

Blink: Towards Efficient RDMA-based Communication Coroutines for
Parallel Python Applications
Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni and Dhabaleswar K. Panda

Content-defined Container Delivery
Yuta Nakamura, Tanu Malik and Raza Ahmad

Model Checking as a Service using Dynamic Resource Scaling
Surya Teja, Yuvraj Singh, Adhish Singla, Suresh Purini and Venkatesh Choppella

Session 3: Algorithms (11:20 AM IST – start time)

Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization
Lawton Manning, Grey Ballard, Ramakrishnan Kannan and Haesun Park

Pipelined Preconditioned Conjugate Gradient Methods for Distributed
Memory Systems
Manasi Tiwari and Sathish Vadhiyar

Fair Allocation of Asymmetric Operations in Storage Systems
Thomas Keller and Peter Varman

A GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks
Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre and Allam Dinesh Reddy

2D Static Resource Allocation Strategies for Load Balancing in
Compressed Linear Algebra under Communication Constraints
Olivier Beaumont, Lionel Eyraud-Dubois and Mathieu Verite

Algorithms for Preemptive Co-scheduling of Kernels on GPUs
Lionel Eyraud-Dubois and Cristiana Bentes


Friday, December 18th

Keynote Talk (9:00-10:00 AM IST)


Fabrizio Petrini
Parallel Computing Lab
Intel Corporation

Breaking the Scalability Wall

Session 4: Runtime Systems (10:10 AM IST – start time)

Understanding HPC Application I/O Behavior Using System Level Statistics
Arnab K. Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn
Mohror and Ali R. Butt

AMCilk: A Framework for Multiprogrammed Parallel Workloads
Zhe Wang, Chen Xu, Kunal Agrawal and Jing Li

Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling
Mohak Chadha, Jophin John and Michael Gerndt

On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance
Joshua Suetterlein, Joseph Manzano, Andres Marquez and Gunag Gao

Exposing data locality in HPC-based systems by using the HDFS backend
Jose Rivadeneira, Felix Garcia-Carballeira, Jesus Carretero and Javier

PufferFish: NUMA-Aware Work-stealing Library using Elastic Tasks
Vivek Kumar

Design and Study of Elastic Recovery in HPC Applications
Kai Keller, Konstantinos Parasyris and Leonardo Bautista

Session 5: System Software and Architecture (11:30 AM IST – start time)

Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture
Ruihao Li, Shuang Song, Qinzhe Wu and Lizy K. John

Nonblocking Persistent Software Transactional Memory
Alan Beadle, Wentao Cai, Haosen Wen and Michael Scott

GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU
Ruidong Gu and Michela Becchi

Batched Small Tensor-Matrix Multiplications On GPUs
Keke Zhai, Tania Banerjee, Adeesha Wijayasiri and Sanjay Ranka

Temporal Based Intelligent LRU Cache Construction
Pavan Nittur, Anuradha Kanukotla and Narendra Mutyala

Boosting LSTM Performance Through Dynamic Precision Selection
Franyell Silfa, Jose Maria Arnau and Antonio González

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