• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 24 matches

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