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ORCID26th HiPC 2019: Hyderabad, India
- 26th IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2019, Hyderabad, India, December 17-20, 2019. IEEE 2019, ISBN 978-1-7281-4535-8
Keynote 1
- Vivek Sarkar:
Data Flow Execution Models - A Third Opinion. 1
Technical Session 1: Algorithms for Graphs and Emerging Platforms
- Anwesha Bhowmik, Sathish Vadhiyar:
HyDetect: A Hybrid CPU-GPU Algorithm for Community Detection. 2-11 - Thomas Gilray, Sidharth Kumar:
Distributed Relational Algebra at Scale. 12-22 - Khaled Z. Ibrahim:
Optimizing Breadth-First Search at Scale Using Hardware-Accelerated Space Consistency. 23-33 - Apurba Das, Srikanta Tirthapura:
Shared-Memory Parallel Maximal Biclique Enumeration. 34-43 - Soumendu Ghorui, Sabyasachee Banerjee
, Subhashis Majumder:
A Deterministic Multi-layered Partitioning Tool for Wire-Length Reduction of Monolithic 3D-IC. 44-51 - Arif M. Khan, Mahantesh Halappanavar, Tobias Hagge, Karol Kowalski, Alex Pothen, Sriram Krishnamoorthy:
Mapping Arbitrarily Sparse Two-Body Interactions on One-Dimensional Quantum Circuits. 52-62
Technical Session 2: Data Management and Visualization
- Bheekya Dharamsotu, K. Swarupa Rani, Salman Abdul Moiz, C. Raghavendra Rao:
k-NN Sampling for Visualization of Dynamic Data Using LION-tSNE. 63-72 - Richard Warren, Jérome Soumagne, Jingqing Mu, Houjun Tang, Suren Byna, Bin Dong, Quincey Koziol:
Analysis in the Data Path of an Object-Centric Data Management System. 73-82 - Wei Zhang, Suren Byna, Chenxu Niu, Yong Chen:
Exploring Metadata Search Essentials for Scientific Data Management. 83-92 - Pouya Kousha, Bharath Ramesh, Kaushik Kandadi Suresh, Ching-Hsiang Chu, Arpan Jain, Nick Sarkauskas, Hari Subramoni, Dhabaleswar K. Panda:
Designing a Profiling and Visualization Tool for Scalable and In-depth Analysis of High-Performance GPU Clusters. 93-102 - Houjun Tang, Suren Byna, Stephen Bailey, Zarija Lukic, Jialin Liu, Quincey Koziol, Bin Dong:
Tuning Object-Centric Data Management Systems for Large Scale Scientific Applications. 103-112 - Lalit Purohit, Sandeep Kumar:
Replaceability Based Web Service Selection Approach. 113-122
Technical Session 3: Applications and Learning
- Ioannis Sakiotis, Kamesh Arumugam, Desh Ranjan, Balsa Terzic, Mohammad Zubair:
Efficient Parallel Multi-bunch Beam-Beam Simulation in Particle Colliders. 123-130 - Elnaz Tavakoli Yazdi, Ankur Limaye, Ali Akoglu, Tosiron Adegbija, Adam Buntzman:
Bit-Wise and Multi-GPU Implementations of the DNA Recombination Algorithm. 131-140 - Yiming Liu, Jie Yang, Satish Puri:
Hierarchical Filter and Refinement System Over Large Polygonal Datasets on CPU-GPU. 141-151 - Sameh Abdulah, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Geostatistical Modeling and Prediction Using Mixed Precision Tile Cholesky Factorization. 152-162 - Shreenivas Bharadwaj Venkataramanan, Rahul Garg, Yogish Sabharwal:
Acceleration of Sparse Vector Autoregressive Modeling Using GPUs. 163-172 - Udit Gupta, Sathish Vadhiyar:
Fast and Accurate Learning of Knowledge Graph Embeddings at Scale. 173-182
Keynote 2
- Ramesh Hariharan:
Genome Sequencing for Disease Diagnosis: The Confluence of Biology and Computing. 183
Technical Session 4: Accelerated Learning
- Eliza Wszola, Celestine Mendler-Dünner, Martin Jaggi, Markus Püschel:
On Linear Learning with Manycore Processors. 184-194 - Yue Niu, Hanqing Zeng, Ajitesh Srivastava, Kartik Lakhotia, Rajgopal Kannan, Yanzhi Wang, Viktor K. Prasanna:
SPEC2: SPECtral SParsE CNN Accelerator on FPGAs. 195-204 - Jihyun Ryoo, Mengran Fan, Xulong Tang, Huaipan Jiang, Meena Arunachalam, Sharada Naveen, Mahmut T. Kandemir:
Architecture-Centric Bottleneck Analysis for Deep Neural Network Applications. 205-214 - Dharma Teja Vooturi, Kishore Kothapalli:
Efficient Sparse Neural Networks Using Regularized Multi Block Sparsity Pattern on a GPU. 215-224 - Swagath Venkataramani, Vijayalakshmi Srinivasan, Jungwook Choi, Philip Heidelberger, Leland Chang, Kailash Gopalakrishnan:
Memory and Interconnect Optimizations for Peta-Scale Deep Learning Systems. 225-234 - Chih-Chieh Yang, Guojing Cong:
Accelerating Data Loading in Deep Neural Network Training. 235-245
Keynote 3
- Mark Papermaster:
Delivering the Future of High-Performance Computing. 246
Technical Session 5: Storage and Communication
- Heerak Lim, Hwajung Kim, Kihyeon Myung, Heon Young Yeom, Yongseok Son:
IsoKV: An Isolation Scheme for Key-Value Stores by Exploiting Internal Parallelism in SSD. 247-256 - Dipti Shankar, Xiaoyi Lu, Dhabaleswar K. Panda:
SCOR-KV: SIMD-Aware Client-Centric and Optimistic RDMA-Based Key-Value Store for Emerging CPU Architectures. 257-266 - Ching-Hsiang Chu, Jahanzeb Maqbool Hashmi, Kawthar Shafie Khorassani, Hari Subramoni, Dhabaleswar K. Panda:
High-Performance Adaptive MPI Derived Datatype Communication for Modern Multi-GPU Systems. 267-276 - Reza Salkhordeh, André Brinkmann:
Online Management of Hybrid DRAM-NVMM Memory for HPC. 277-289 - Derek Schafer, Sheikh K. Ghafoor, Daniel J. Holmes, Martin Ruefenacht, Anthony Skjellum:
User-Level Scheduled Communications for MPI. 290-300 - Giorgis Georgakoudis, Nikhil Jain, Takatsugu Ono, Koji Inoue, Shinobu Miwa, Abhinav Bhatele:
Evaluating the Impact of Energy Efficient Networks on HPC Workloads. 301-310
Keynote 4
- José Roberto Alvarez:
The New World of Heterogeneous AI/ML High Performance Computing with Intel FPGAs Mark. 311
Technical Session 6: Storage, Fault tolerance, and Resilience
- Tariq Alturkestani, Thierry Tonellot, Hatem Ltaief, Rached Abdelkhalak, Étienne Vincent, David E. Keyes:
MLBS: Transparent Data Caching in Hierarchical Storage for Out-of-Core HPC Applications. 312-322 - Alvaro Frank, Dai Yang, André Brinkmann, Martin Schulz, Tim Süß:
Reducing False Node Failure Predictions in HPC. 323-332 - Burcu Ozcelik Mutlu, Gokcen Kestor, Adrián Cristal, Osman S. Unsal, Sriram Krishnamoorthy:
Ground-Truth Prediction to Accelerate Soft-Error Impact Analysis for Iterative Methods. 333-344 - Arun Abraham, Manas Sahni, Akshay Parashar:
Efficient Memory Pool Allocation Algorithm for CNN Inference. 345-352 - Aleix Roca Nonell, Samuel Rodríguez, Albert Segura, Kevin Marquet, Vicenç Beltran:
A Linux Kernel Scheduler Extension for Multi-core Systems. 353-362 - Sergio Rivas-Gomez, Alessandro Fanfarillo, Sébastien Valat, Christophe Laferriere, Philippe Couvée, Sai Narasimhamurthy, Stefano Markidis:
uMMAP-IO: User-Level Memory-Mapped I/O for HPC. 363-372
Technical Session 7: Parallel and Data Frameworks
- Md. Afibuzzaman, Fazlay Rabbi, M. Yusuf Özkaya, Hasan Metin Aktulga, Ümit V. Çatalyürek:
DeepSparse: A Task-Parallel Framework for SparseSolvers on Deep Memory Architectures. 373-382 - Marcos Maronas, Kevin Sala, Sergi Mateo, Eduard Ayguadé, Vicenç Beltran:
Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism. 383-394 - Anshuj Garg, Purushottam Kulkarni, Uday Kurkure, Hari Sivaraman, Lan Vu:
Empirical Analysis of Hardware-Assisted GPU Virtualization. 395-405
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