Wednesday, June 28, 2017 | ||
Start | End | Event |
---|---|---|
8:30 | 9:00 | Registration |
9:00 | 9:15 | Welcome |
9:15 | 10:15 | Keynote: Julia Lane, New York University Building secure platforms for research on human subjects: The importance of computer scientists |
10:15 | 10:45 | Coffee Break |
10:45 | 11:10 | Daily Pitch: 2-min talks |
Session 1: Scheduling Chair: Dick Epema | ||
11:10 | 11:35 | Enabling Workflow Aware Scheduling on HPC systems Rodrigo, Alvarez, Elmroth, Ostber, Ramakrishnan |
11:35 | 12:00 | Parallel Stream Processing Against Workload Skewness and Variance Fang, Zhang, Fu, Zhang, Zhou, Zhu |
12:00 | 14:00 | Lunch: On Your Own |
14:00 | 14:50 | HPDC Achievement Award Talk: David Abramson, The University of Queensland Caches all the way down: Infrastructure for Data Intensive Science |
14:50 | 15:20 | Break |
Session 2: Data Management Chair: Ian Foster | ||
15:20 | 15:45 | NICE: Network-Integrated Cluster Efficient Storage Al-Kiswany, Yang, Arpaci-Dusseau, Arpaci-Dusseau |
15:45 | 16:10 | MaDaTS: Managing Data on Tiered Storage for Scientific Workflows Ghoshal, Ramakrishnan |
16:10 | 16:35 | ArrayUDF: User-Defined Scientific Data Analysis on Arrays Dong, Wu, Byna, Liu, Zhao, Rusu |
16:35 | 17:00 | Break |
17:00 | 19:00 | Georgetown Walking Tour |
19:00 | 21:00 | Posters & Demos / Welcome Reception |
Thursday, June 29, 2017 | ||
Start | End | Event |
---|---|---|
8:30 | 9:00 | Registration |
9:00 | 9:15 | Daily Pitch: 2-min talks |
9:15 | 10:15 | Keynote: Rick Stevens, University of Chicago and Argonne National Lab A vision for Exascale computing that integrates simulation, big data and machine learning |
10:15 | 10:45 | Coffee Break |
Session 3: Parallel Methods and Algorithms Chair: Douglas Thain | ||
10:45 | 11:10 | knor: A NUMA-optimized In-memory, Distributed and Semi-external-memory k-means Library Mhembere, Zheng, Priebe, Vogelstein, Burns |
11:10 | 11:35 | CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs Xie, Tan, Fong, Liang |
11:35 | 12:00 | To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations Besta, Podstawski, Solomonik, Groner, Hoefler |
12:00 | 14:00 | Lunch: On Your Own |
14:00 | 14:50 | Funding Panel Irene Qualters, National Science Foundation Richard Carlson, U.S. Department of Energy Sukarno Mertoguno, U.S. Office of Naval Research |
14:50 | 15:20 | Break |
Session 4: Fault Tolerance Chair: Jay Lofstead | ||
15:20 | 15:45 | Better Safe than Sorry: Grappling with Failures of In-Memory Data Analytics Frameworks Ghit, Epema |
15:45 | 16:10 | LetGo: A Lightweight Continuous Framework for HPC Applications Under Failures Fang, Guan, Debardeleben, Pattabiraman, Ripeanu |
16:10 | 16:35 | Towards a More Complete Understanding of SDC Propagation Calhoun, Snir, Olson, Gropp |
16:35 | 17:00 | Break |
Session 5: Performance Modeling and Analysis Chair: Howie Huang | ||
17:00 | 17:25 | Diagnosing Machine Learning Pipelines with Fine-grained Lineage Zhang, Sparks, Franklin |
17:25 | 17:50 | COS: A Parallel Performance Model for Dynamic Variations in Processor Speed, Memory Speed, and Thread Concurrency Li, Leon, Cameron |
17:50 | 18:15 | Explaining Wide Area Data Transfer Performance Liu, Balaprakash, Kettimuthu, Foster |
18:15 | 19:00 | Break |
19:00 | Awards: Best Paper, Best Reviewer Banquet / Dinner |
Friday, June 30, 2017 | ||
Start | End | Event |
---|---|---|
8:30 | 9:00 | Registration |
9:00 | 9:15 | Daily Pitch: 2-min talks |
9:15 | 10:15 | Keynote: Janice Coen, National Center for Atmospheric Research Wildland Fire Monitoring and Prediction |
10:15 | 10:45 | Coffee Break |
Session 6: Performance and Concurrency Chair: Ming Zhao | ||
10:45 | 11:10 | Predicting Output Performance on Petascale File Systems Xie, Huang, Chase, Choi, Lofstead, Oral, Klasky |
11:10 | 11:35 | TCP Throughput Profiles Using Measurements Over Dedicated Connections Rao, Liu, Sen, Towsley, Vardoyan, Kettimuthu, Foster |
11:35 | 12:00 | AllConcur: Leaderless Concurrent Atomic Broadcast Poke, Hoefler, Glass |
12:00 | 13:00 | Lunch: On Your Own |
Session 7: Data Partitioning Chair: Alexandru Iosup | ||
13:00 | 13:25 | IOGP: An Incremental Online Graph Partitioning Algorithm for Distributed Graph Databases Dai, Zhang, Chen |
13:25 | 13:50 | Machine and Application Aware Partitioning for Adaptive Mesh Refinement Applications Fernando, Sundar, Duplyakin |
13:50 | 14:20 | Closing HPDC'17 and Announcing HPDC'18 |