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ORCID26th HPDC 2017: Washington, DC, USA
- H. Howie Huang, Jon B. Weissman, Adriana Iamnitchi, Alexandru Iosup:
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2017, Washington, DC, USA, June 26-30, 2017. ACM 2017, ISBN 978-1-4503-4699-3
Keynote 1
- Julia Ingrid Lane:
Building Secure Platforms for Research on Human Subjects: The Importance of Computer Scientists. 1
Scheduling
- Gonzalo Pedro Rodrigo Álvarez, Erik Elmroth, Per-Olov Östberg, Lavanya Ramakrishnan:
Enabling Workflow-Aware Scheduling on HPC Systems. 3-14 - Junhua Fang, Rong Zhang, Tom Z. J. Fu, Zhenjie Zhang, Aoying Zhou, Junhua Zhu:
Parallel Stream Processing Against Workload Skewness and Variance. 15-26
HPDC Achievement Award Talk
- David Abramson:
Caches All the Way Down: Infrastructure for Data Intensive Science. 27
Data Management
- Samer Al-Kiswany, Suli Yang, Andrea C. Arpaci-Dusseau
, Remzi H. Arpaci-Dusseau:
NICE: Network-Integrated Cluster-Efficient Storage. 29-40 - Devarshi Ghoshal, Lavanya Ramakrishnan:
MaDaTS: Managing Data on Tiered Storage for Scientific Workflows. 41-52 - Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu:
ArrayUDF: User-Defined Scientific Data Analysis on Arrays. 53-64
Keynote 2
- Rick Stevens:
Deep Learning in Cancer and Infectious Disease: Novel Driver Problems for Future HPC Architecture. 65
Parallel Methods and Algorithms
- Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. 67-78 - Xiaolong Xie, Wei Tan, Liana L. Fong, Yun Liang:
CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs. 79-92 - Maciej Besta, Michal Podstawski, Linus Groner, Edgar Solomonik, Torsten Hoefler:
To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations. 93-104
Fault Tolerance
- Bogdan Ghit, Dick H. J. Epema:
Better Safe than Sorry: Grappling with Failures of In-Memory Data Analytics Frameworks. 105-116 - Bo Fang, Qiang Guan, Nathan DeBardeleben, Karthik Pattabiraman, Matei Ripeanu:
LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures. 117-130 - Jon Calhoun, Marc Snir, Luke N. Olson, William D. Gropp:
Towards a More Complete Understanding of SDC Propagation. 131-142
Performance Modeling and Analysis
- Zhao Zhang, Evan R. Sparks, Michael J. Franklin:
Diagnosing Machine Learning Pipelines with Fine-grained Lineage. 143-153 - Bo Li, Edgar A. León, Kirk W. Cameron:
COS: A Parallel Performance Model for Dynamic Variations in Processor Speed, Memory Speed, and Thread Concurrency. 155-166 - Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster:
Explaining Wide Area Data Transfer Performance. 167-178
Keynote 3
- Janice L. Coen:
Using Scientific Computing to Advance Wildland Fire Monitoring and Prediction. 179
Performance and Concurrency
- Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral:
Predicting Output Performance of a Petascale Supercomputer. 181-192 - Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Don Towsley, Gayane Vardoyan, Rajkumar Kettimuthu, Ian T. Foster:
TCP Throughput Profiles Using Measurements over Dedicated Connections. 193-204 - Marius Poke, Torsten Hoefler, Colin W. Glass:
AllConcur: Leaderless Concurrent Atomic Broadcast. 205-218
Data Partitioning
- Dong Dai, Wei Zhang, Yong Chen:
IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases. 219-230 - Milinda Fernando, Dmitry Duplyakin, Hari Sundar:
Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications. 231-242
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