Accepted Papers

HiPC 2018

Accepted Papers

Paper Author
Making Strassen Matrix Multiplication Safe Himeshi De Silva, John Gustafson and Weng-Fai Wong
Synchronization-Avoiding Graph Algorithms Jesun Firoz, Marcin Zalewski, Thejaka Amila Kanewala and Andrew Lumsdaine
Workflow Simulation Aware and Multi-Threading Effective Task Scheduling for Heterogeneous Computing Vasilios Kelefouras and Karim Djemame
Why do Users Kill HPC Jobs? Venkatesh-Prasad Ranganath and Daniel Andresen
Dynamic Count-Min Sketch for Analytical Queries over Continuous Data Streams Xiaobo Zhu, Hong Zhang, Guangjun Wu and Shupeng Wang
Shared-Memory Parallel Maximal Clique Enumeration Apurba Das, Seyed-Vahid Sanei-Mehri and Srikanta Tirthapura
Quantification, Trade-off Analysis, and Optimal Checkpoint Placement for Reliability and Availability Omer Subasi, Ramakrishna Tipireddy and Sriram Krishnamoorthy
Accelerating TensorFlow with Adaptive RDMA-based gRPC Rajarshi Biswas, Xiaoyi Lu and Dhabaleswar Panda
Expediting Parallel Graph Connectivity Algorithms Mihir Wadwekar and Kishore Kothapalli
Adaptive Runtime Features For Distributed Graph Algorithms Jesun Firoz, Marcin Zalewski and Andrew Lumsdaine
Improving Garbage Collector Performance for Large-Scale Data Processing Damon Fenacci, Hans Vandierendonck and Dimitrios Nikolopoulos
Balancing Stragglers Against Staleness in Distributed Deep Learning Saurav Basu, Vaibhav Saxena, Rintu Panja and Ashish Verma
Share-a-GPU: Providing Simple and Effective Time-Sharing on GPUs Shaleen Garg, Kishore Kothapalli and Suresh Purini
Parallel Nonnegative CP Decomposition of Dense Tensors Koby Hayashi, Grey Ballard and Ramakrishnan Kannan
Improving Provisioned Power Efficiency in HPC Systems with GPU-CAPP Kramer Straube, Jason Lowe-Power, Christopher Nitta, Matthew Farrens and Venkatesh Akella
Adaptive Pattern Matching with Reinforcement Learning for Dynamic Graphs Hiroki Kanezashi, Toyotaro Suzumura, Dario Garcia-Gasulla, Satoshi Matsuoka and Min-Hwan Oh
A Performance Prediction Framework for Irregular Applications Gangyi Zhu and Gagan Agrawal
Sampled Dense Matrix Multiplication for High-Performance Machine Learning Israt Nisa, Aravind Sukumaran Rajam, Süreyya Emre Kurt, Changwan Hong and P Sadayappan
Compiling SIMT Programs on Multi- and Many-core Processors with Wide Vector Units: A Case Study with CUDA Hancheng Wu, John Ravi and Michela Becchi
Probabilistic Sequential Consistency in Social Networks Priyanka Singla, Shubhankar Suman Singh, K Gopinath and Smruti Sarangi
Lossless parallel implementation of a Turbo Decoder on GPU Karthikeyan Natarajan and Nitin Chandrachoodan
OC-DNN: Exploiting Advanced Unified Memory Capabilities in CUDA 9 and Volta GPUs for Out-of-Core DNN Training Ammar Ahmad Awan, Ching-Hsiang Chu, Hari Subramoni, Xiaoyi Lu and Dhabaleswar Panda
Scalable Proximity-Based Methods for Large-Scale Analysis of Atom Probe Data Hao Lu, Sudip Seal and Jonathan D Poplawsky
A Shared-Memory Parallel Algorithm for Updating Single-Source Shortest Paths in Large Dynamic Networks Sriram Srinivasan, Sara Riazi, Sajal Das, Boyana Norris and Sanjukta Bhowmick
A Novel Approach for Handling Soft Error in Conjugate Gradients Marissa Renardy, Muhammed Emin Ozturk, Yukun Li, Gagan Agrawal and Ching-Shan Chou
Achieving Performance and Programmability for MapReduce(-like) Frameworks Jia Guo and Gagan Agrawal
Vidya: Performing Code-Block I/O Characterization for Data Access Optimization Hariharan Devarajan, Anthony Kougkas, Prajwal Challa and Xian-He Sun
Parallel Read Partitioning for Concurrent Assembly of Metagenomic Data Vasudevan Rengasamy, Mahmut Kandemir, Paul Medvedev and Kamesh Madduri
Acceleration of an Adaptive Cartesian Mesh CFD Solver in the Current Generation Processor Architectures Harichand M V, Bharatkumar Sharma, Sudhakaran G and Ashok V
DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks Prasanna Balaprakash, Misha Salim, Tom Uram, Venkatram Vishwanath and Stefan Wild
Characterization of the Impact of Soft Errors on Iterative Methods Burcu Mutlu, Gokcen Kestor, Joseph Manzano, Osman Unsal, Samrat Chatterjee and Sriram Krishnamoorthy
Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms Chao Li and Balaji Palanisamy
Data-parallel Training of Generative Adversarial Networks on HPC Systems for HEP Simulations Sofia Vallecorsa, Diana Moise, Federico Carminati and Gul Rukh Khattak

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