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ORCID27th HiPC 2020: Virtual Event / Pune, India
- 27th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2020, Pune, India, December 16-19, 2020. IEEE 2020, ISBN 978-1-6654-2292-5
Keynotes
- Katherine A. Yelick:
Computing and Data Challenges in Climate Change. xix - Fabrizio Petrini:
Breaking the Scalability Wall. xxi - Animashree Anandkumar:
Role of HPC in next-generation AI. xx
Best Paper Session
- Chengshuo Xu, Abbas Mazloumi, Xiaolin Jiang
, Rajiv Gupta:
SimGQ: Simultaneously Evaluating Iterative Graph Queries. 1-10 - Daniel Jünger, Robin Kobus, André Müller, Christian Hundt, Kai Xu, Weiguo Liu, Bertil Schmidt:
WarpCore: A Library for fast Hash Tables on GPUs. 11-20
Session 1: Applications
- Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan, Viktor K. Prasanna:
Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction. 21-30 - Henrique Rennó de Azeredo Freitas, Celso Luiz Mendes, Aleksandar Ilic:
Performance Optimization and Scalability Analysis of the MGB Hydrological Model. 31-40 - Michael P. Lingg, Stephen M. Hughey, Doga Dikbayir, Balasubramaniam Shanker, Hasan Metin Aktulga:
Exploring Task Parallelism for the Multilevel Fast Multipole Algorithm. 41-50 - Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka:
SparsePipe: Parallel Deep Learning for 3D Point Clouds. 51-61 - Hemant Kumar Giri, Mridul Haque, Dip Sankar Banerjee:
HyPR: Hybrid Page Ranking on Evolving Graphs. 62-71 - Charilaos Tzovas, Maria Predari, Henning Meyerhenke:
Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters - an Experimental Study. 72-81
Session 2: Scalable Data Science
- Akshay Parashar, Arun Abraham, Deepak Chaudhary, Vikram Nelvoy Rajendiran:
Processor Pipelining Method for Efficient Deep Neural Network Inference on Embedded Devices. 82-90 - Aditya Devarakonda, James Demmel:
Avoiding Communication in Logistic Regression. 91-100 - Abdoulaye Diop, Nahid Emad, Thierry Winter:
A Parallel and Scalable Framework for Insider Threat Detection. 101-110 - Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda:
Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications. 111-120 - Yuta Nakamura, Raza Ahmad, Tanu Malik:
Content-defined Merkle Trees for Efficient Container Delivery. 121-130 - Surya Teja Palavalasa, Yuvraj Singh, Adhish Singla, Suresh Purini, Venkatesh Choppella:
Model Checking as a Service using Dynamic Resource Scaling. 131-140
Session 3: Algorithms
- Lawton Manning, Grey Ballard, Ramakrishnan Kannan, Haesun Park:
Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization. 141-150 - Manasi Tiwari, Sathish Vadhiyar:
Pipelined Preconditioned Conjugate Gradient Methods for Distributed Memory Systems. 151-160 - Thomas Keller, Peter J. Varman:
Fair Allocation of Asymmetric Operations in Storage Systems. 161-170 - Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre, Allam Dinesh Reddy:
A GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks. 171-180 - Olivier Beaumont, Lionel Eyraud-Dubois, Mathieu Vérité:
2D Static Resource Allocation for Compressed Linear Algebra and Communication Constraints. 181-191 - Lionel Eyraud-Dubois, Cristiana Bentes:
Algorithms for Preemptive Co-scheduling of Kernels on GPUs. 192-201
Session 4: Runtime Systems
- Arnab Kumar Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Ali Raza Butt:
Understanding HPC Application I/O Behavior Using System Level Statistics. 202-211 - Zhe Wang, Chen Xu, Kunal Agrawal, Jing Li:
AMCilk: A Framework for Multiprogrammed Parallel Workloads. 212-222 - Mohak Chadha, Jophin John, Michael Gerndt:
Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling. 223-232 - Joshua Suetterlein, Joseph B. Manzano, Andres Marquez, Guang R. Gao:
On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance. 233-242 - José Rivadeneira, Félix García Carballeira, Jesús Carretero, Javier García Blas:
Exposing data locality in HPC-based systems by using the HDFS backend. 243-250 - Vivek Kumar:
PufferFish: NUMA-Aware Work-stealing Library using Elastic Tasks. 251-260 - Kai Keller, Konstantinos Parasyris, Leonardo Bautista-Gomez:
Design and Study of Elastic Recovery in HPC Applications. 261-270
Session 5: System Software and Architecture
- Ruihao Li, Shuang Song, Qinzhe Wu, Lizy K. John:
Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture. 271-282 - H. Alan Beadle, Wentao Cai, Haosen Wen, Michael L. Scott:
Nonblocking Persistent Software Transactional Memory. 283-293 - Ruidong Gu, Michela Becchi:
GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU. 294-304 - Keke Zhai, Tania Banerjee, Adeesha Wijayasiri, Sanjay Ranka:
Batched Small Tensor-Matrix Multiplications on GPUs. 305-314 - Pavan Nittur, Anuradha Kanukotla, Narendra Mutyala:
Temporal Based Intelligent LRU Cache Construction. 315-322 - Franyell Silfa, José-María Arnau, Antonio González:
Boosting LSTM Performance Through Dynamic Precision Selection. 323-333
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