Scott Schneider

Comprehensive publication lists are available at dblp, Google Scholar and Semantic Scholar. A per-subject selection:

• Stream processing
• Programming models and abstractions for heterogeneous processor architectures
• Runtime support for multithreaded applications

Stream processing:

• A Cloud Native Platform for Stateful Streaming. Scott Schneider, Xavier Guérin, Shaohan Hu and Kun-Lung Wu. arXiv preprint arXiv:2006.00064, May 2020.
• Automating Multi-level Performance Elastic Components for IBM Streams. Xiang Ni, Scott Schneider, Raju Pavuluri, Jonathan Kaus and Kun-Lung Wu. Proc. of the 20th International Middleware Conference, December 2019.
• Optimal and General Out-of-Order Sliding-Window Aggregation [slides] [poster]. Kanat Tangwongsan, Martin Hirzel and Scott Schneider. Proc. of the VLDB Endowment, June 2019.
• Low-Synchronization, Mostly Lock-Free, Elastic Scheduling for Streaming Runtimes [video] [slides]. Scott Schneider and Kun-Lung Wu. Proc. of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), June 2017.
• Low-Latency Sliding-Window Aggregation in Worst-Case Constant Time. Kanat Tangwongsan, Martin Hirzel and Scott Schneider. Proc. of the 11th ACM International Conference on Distributed and Event-based Systems (DEBS), June 2017.
• SPL: An Extensible Language for Distributed Stream Processing. Martin Hirzel, Scott Schneider and Buğra Gedik. ACM Transactions on Programming Languages and Systems (TOPLAS), Vol. 39, No. 1, Article 5, March, 2017.
• Dynamic Load Balancing for Ordered Data-Parallel Regions in Distributed Streaming Systems [slides]. Scott Schneider, Joel L. Wolf, Kirsten Hildrum, Rohit Khandekar and Kun-Lung Wu. Proc. of the 17th International Middleware Conference, December 2016.
• Language Runtime and Optimizations in IBM Streams. Scott Schneider, Bugra Gedik and Martin Hirzel. IEEE Data Engineering Bulletin, Volume 38, Number 5, March 2015.
• General Incremental Sliding-Window Aggregation. Kanat Tangwongsan, Martin Hirzel, Scott Schneider and Kun-Lung Wu. Proc. of the VLDB Endowment, February 2015.
• Safe Data Parallelism for General Streaming. Scott Schneider, Martin Hirzel, Buğra Gedik, and Kun-Lung Wu. Transactions on Computers, IEEE (TC), DOI: 10.1109/TC.2013.221, 2015.
• A Catalogue of Streaming Optimizations. Martin Hirzel, Robert Soule, Scott Schneider, Buğra Gedik and Robert Grimm. Computing Surveys, ACM (CSUR), Volume 46, Issue 4, 2014.
• Elastic Scaling for Data Stream Processing. Buğra Gedik, Scott Schneider, Martin Hirzel and Kun-Lung Wu. Transactions on Parallel and Distributed Systems, IEEE (TPDS), DOI: 10.1109/TPDS.2013.295, 2014.
• Tutorial: Stream Processing Optimizations [slides]. Scott Schneider, Martin Hirzel and Buğra Gedik. Proc. of the 7th ACM International Conference on Distributed Event-Based System (DEBS), June 2013.
• Auto-Parallelizing Stateful Distributed Streaming Applications [slides]. Scott Schneider, Martin Hirzel, Buğra Gedik, and Kun-Lung Wu. Proc. of the 21st ACM International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2012.
• Evaluation of Streaming Aggregation on Parallel Hardware Architectures. Scott Schneider, Henrique Andrade, Bugra Gedik, Kun-Lung Wu and Dimitrios S. Nikolopoulos. Proc. of the 4th ACM International Conference on Distributed Event-Based System (DEBS), July 2010.
• Elastic Scaling of Data Parallel Operators in Stream Processing. Scott Schneider, Henrique Andrade, Bugra Gedik, Alain Biem and Kun-Lung Wu. Proc. of the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2009.

Programming models and abstractions for heterogeneous processor architectures:

• Shared Memory Abstractions for Heterogeneous Multicore Processors. Scott Schneider. Ph.D. Dissertation, Virginia Tech, December 2010.
• Evaluation of Streaming Aggregation on Parallel Hardware Architectures. Scott Schneider, Henrique Andrade, Bugra Gedik, Kun-Lung Wu and Dimitrios S. Nikolopoulos. Proc. of the 4th ACM International Conference on Distributed Event-Based System (DEBS), July 2010.
• Programming Multiprocessors With Explicitly Managed Memory Hierarchies. Scott Schneider, Jae-Seung Yeom and Dimitrios S. Nikolopoulos. IEEE Computer, December, 2009.
• A Comparison of Programming Models for Multiprocessors with Explicitly Managed Memory Hierarchies. Scott Schneider, Jae-seung Yeom, Benjamin Rose, John C. Linford, Adrian Sandu and Dimitrios S. Nikolopoulos. Proc. of the 14th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), February 2009.

Runtime support for multithreaded applications:

• Low-Synchronization, Mostly Lock-Free, Elastic Scheduling for Streaming Runtimes [video] [slides]. Scott Schneider and Kun-Lung Wu. Proc. of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), June 2017.
• Scalable Locality-Conscious Multithreaded Memory Allocation. Scott Schneider, Christos D. Antonopoulos and Dimitrios S. Nikolopoulos. Proc. of the 2006 ACM SIGPLAN International Symposium on Memory Management (ISMM), June 2006.
• Factory: An Object-Oriented Parallel Programming Substrate for Deep Multiprocessors. Scott Schneider, Christos D. Antonopoulos, Dimitrios S. Nikolopoulos. Proc. of the 2005 International Conference on High Performance Computing and Communications, September 2005.
• Factory: An Object-Oriented Parallel Programming Substrace for Deep Multiprocessors. Scott Schneider. Master’s Thesis, William & Mary, June 2005.