I am a postdoc at the Microsoft Research Silicon Valley lab, through August 2013. My principal interests are in large-scale distributed and parallel computing. To that end, I am currently working on the Naiad project, in which we are building a new system for distributed computation that unifies iteration and incremental computation. Previously, I worked on CIEL (a distributed execution engine that was the subject of my PhD dissertation at the University of Cambridge Computer Lab) and Steno (which optimizes the code generated for declarative queries in DryadLINQ).
NEW: I started blogging on the Big Data at SVC blog, where my colleagues and I will be writing about Naiad and other developments in the distributed data processing space.
Email: derekmur at microsoft dot com
Post: 1065 La Avenida, Mountain View, CA 94043
- Jean-Philippe Martin, Christopher J. Rossbach, Derek G. Murray, and Michael Isard, Supporting efficient aggregation in a task-based STM, in SFMA 2013, The 3rd Workshop on Systems for Future Multicore Architectures, 14 April 2013
- Frank McSherry, Derek G. Murray, Rebecca Isaacs, and Michael Isard, Differential dataflow, in Proceedings of CIDR 2013, 5 January 2013
- Frank McSherry, Rebecca Isaacs, Michael Isard, and Derek G. Murray, Composable Incremental and Iterative Data-Parallel Computation with Naiad, no. MSR-TR-2012-105, 9 October 2012
- Mihai Budiu, Jamie Shotton, Derek Murray, and Mark Finocchio, Parallelizing the Training of the Kinect Body Parts Labeling Algorithm, in BigLearn Workshop at NIPS, 16 December 2011
- Derek Gordon Murray, A distributed execution engine supporting data-dependent control flow, July 2011
- Derek G. Murray, Michael Isard, and Yuan Yu, Steno: Automatic Optimization of Declarative Queries, in Proceedings of the 32nd ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI 2011), ACM SIGPLAN, 4 June 2011
- Derek G. Murray, Malte Schwarzkopf, Christopher Smowton, Steven Smith, Anil Madhavapeddy, and Steven Hand, CIEL: a universal execution engine for distributed data-flow computing, in Proceedings of NSDI 2011, USENIX, 30 March 2011