Greetings, I’m a researcher at INRIA-Paris in the ERC Deepsea / Gallium group. Before that, I did my PhD with John Reppy at the University of Chicago, and a postdoc with Umut Acar at the Max Planck Institute for Software Systems in Kaiserslautern, Germany.
Contact me by email at firstname.lastname@example.org.
This list is organized by research topic. A number of papers appear under multiple topics, as appropriate. For a list without duplicates, see the list of references at the bottom of this page.
Design and implementation of algorithms to map computations generated by parallel programs onto multicore machines: (Acar, Charguéraud, and Rainey 2015; Acar, Charguéraud, and Rainey 2013; Bergstrom et al. 2010; Bergstrom et al. 2012; Rainey 2010; Fluet, Rainey, and Reppy 2008)
Making parallel programs more robust in the face of parallel-specific overheads: (Acar, Charguéraud, and Rainey 2016, Acar, Charguéraud, and Rainey (2015); Acar, Charguéraud, and Rainey 2011, Bergstrom et al. (2010); Bergstrom et al. 2012; Rainey 2010)
Programming languages to raise the level of abstraction of parallel programs: (Fluet et al. 2007; Acar, Charguéraud, and Rainey 2012; Acar et al. 2016)
Work-efficient algorithm for fast parallel depth-first search of directed graphs: (Acar, Charguéraud, and Rainey 2015)
Compiler optimization to control the layout of parallel-friendly data structures: (Bergstrom et al. 2013)
Efficient algorithms and data structures that are amenable to parallel programming: (Acar, Charguéraud, and Rainey 2015; Acar, Charguéraud, and Rainey 2014; Wise et al. 2005)
Concurrent data structures: (Acar, Ben-David, and Rainey 2017)
Engineering the SML/NJ compiler to handle advanced features of foreign-function calls. (Blume, Rainey, and Reppy 2008)
My github profile.
This project features a C++ template library which implements ordered, in-memory containers that are based on a new B-tree-like data structure.
PASL is a C++ library that provides algorithms for mapping computations generated by programs with implicit threading to multicore machines.
Manticore is a parallel programming language aimed at general-purpose applications that run on multicore processors.
I worked on the back end of the compiler. My main projects covered code generation for the x86_64 and support for foreign-function calls.
Get the bibtex file used to generate these references.
Acar, Umut A, Naama Ben-David, and Mike Rainey. 2017. “Contention in Structured Concurrency: Provably Efficient Dynamic Nonzero Indicators for Nested Parallel Computation.” ACM. http://gallium.inria.fr/~rainey/dynsnzi.pdf.
Acar, Umut A, Arthur Charguéraud, and Mike Rainey. 2011. “Oracle Scheduling: Controlling Granularity in Implicitly Parallel Languages.” In Proceedings of the 2011 ACM International Conference on Object Oriented Programming Systems Languages and Applications, 46:499–518. 10. ACM. http://chargueraud.org/research/2011/oracle/oracle_scheduling.pdf.
———. 2012. “Efficient Primitives for Creating and Scheduling Parallel Computations.” In Declarative Aspects of Multicore Programming. http://chargueraud.org/research/2012/damp/damp2012_primitives.pdf.
———. 2013. “Scheduling Parallel Programs by Work Stealing with Private Deques.” In 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 48:219–28. 8. ACM. http://chargueraud.org/research/2013/ppopp/full.pdf.
———. 2014. “Theory and Practice of Chunked Sequences.” In The 22nd Annual European Symposium on Algorithms, 25–36. Springer. http://deepsea.inria.fr/chunkedseq/chunked_seq.pdf.
———. 2015. “A Work-Efficient Algorithm for Parallel Unordered Depth-First Search.” In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 67:1–67:12. ACM. http://chargueraud.org/research/2015/pdfs/pdfs_sc15.pdf.
———. 2016. “Oracle-Guided Scheduling for Controlling Granularity in Implicitly Parallel Languages.” Journal of Functional Programming. Cambridge University Press. http://gallium.inria.fr/~rainey/jfp-oracle-guided.pdf.
Acar, Umut A, Arthur Charguéraud, Mike Rainey, and Filip Sieczkowski. 2016. “Dag-Calculus: A Calculus for Parallel Computation.” In The 26th ACM SIGPLAN International Conference on Functional Programming. ACM. http://gallium.inria.fr/~rainey/dag-calculus.pdf.
Bergstrom, Lars, Matthew Fluet, Mike Rainey, John Reppy, and Adam Shaw. 2012. “Lazy Tree Splitting.” Journal of Functional Programming 22 (4-5). Cambridge University Press: 382–438. http://manticore.cs.uchicago.edu/papers/jfp-lts-submitted.pdf.
Bergstrom, Lars, Matthew Fluet, Mike Rainey, John Reppy, Stephen Rosen, and Adam Shaw. 2013. “Data-Only Flattening for Nested Data Parallelism.” In 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 48:81–92. 8. ACM. http://manticore.cs.uchicago.edu/papers/ppopp13-flat.pdf.
Bergstrom, Lars, Mike Rainey, John Reppy, Adam Shaw, and Matthew Fluet. 2010. “Lazy Tree Splitting.” In The 20th ACM SIGPLAN International Conference on Functional Programming, 45:93–104. 9. ACM. http://manticore.cs.uchicago.edu/papers/icfp10-lts.pdf.
Blume, Matthias, Michael Rainey, and John Reppy. 2008. “Calling Variadic Functions from a Strongly-Typed Language.” In Proceedings of the 2008 ACM SIGPLAN Workshop on Ml, 47–58. ACM. http://gallium.inria.fr/~rainey/articles/ml-varargs.pdf.
Fluet, Matthew, Mike Rainey, and John Reppy. 2008. “A Scheduling Framework for General-Purpose Parallel Languages.” In The 13th ACM SIGPLAN International Conference on Functional Programming, 43:241–52. 9. ACM. http://manticore.cs.uchicago.edu/papers/icfp08-sched.pdf.
Fluet, Matthew, Mike Rainey, John Reppy, Adam Shaw, and Yingqi Xiao. 2007. “Manticore: A Heterogeneous Parallel Language.” In Proceedings of the 2007 Workshop on Declarative Aspects of Multicore Programming, 37–44. ACM.
Rainey, Mike. 2010. “Effective Scheduling Techniques for High-Level Parallel Programming Languages.” PhD thesis, University of Chicago. http://manticore.cs.uchicago.edu/papers/rainey-phd.pdf.
Wise, David S., Craig Citro, Joshua Hursey, Fang Liu, and Michael Rainey. 2005. “A Paradigm for Parallel Matrix Algorithms: Scalable Cholesky.” In In Euro-Par 2005 – Parallel Processing. http://dx.doi.org/10.1007/11549468_76.