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The convergence of 3 big ideas in graph computing: 1. D4M: Dynamic Distributed Dimensional Data Model http://www.mit.edu/~kepner/D4M/ http://www.mit.edu/~kepn
by espeed 10y ago
The convergence of 3 big ideas in graph computing:
1. D4M: Dynamic Distributed Dimensional Data Model
http://www.mit.edu/~kepner/D4M/ http://www.mit.edu/~kepner/D4M/ GraphBLAS: http://graphblas.org http://graphblas.org
Achieving 100M database inserts per second using Apache Accumulo and D4M https://news.ycombinator.com/item?id=13465141 https://news.ycombinator.com/item?id=13465141
MIT D4M: Signal Processing on Databases [video] https://www.youtube.com/playlist?list=PLUl4u3cNGP62DPmPLrVyYfk3-Try_ftJJ https://www.youtube.com/playlist?list=PLUl4u3cNGP62DPmPLrVyY...
2. Topological / Metric Space Model
Fast and Scalable Analysis of Massive Social Graphs
http://www.cs.ucsb.edu/~ravenben/temp/rigel.pdf http://www.cs.ucsb.edu/~ravenben/temp/rigel.pdf
Quantum Processes in Graph Computing - Marko Rodriguez [video] https://www.youtube.com/watch?v=qRoAInXxgtc https://www.youtube.com/watch?v=qRoAInXxgtc
3. Propagator Model
Revised Report on the Propagator Model https://groups.csail.mit.edu/mac/users/gjs/propagators/ https://groups.csail.mit.edu/mac/users/gjs/propagators/
Constraints and Hallucinations: Filling in the Details - Gerry Sussman [video]
https://www.youtube.com/watch?v=mwxknB4SgvM https://www.youtube.com/watch?v=mwxknB4SgvM
We Really Don't Know How to Compute - Gerry Sussman [video]
https://www.youtube.com/watch?v=O3tVctB_VSU https://www.youtube.com/watch?v=O3tVctB_VSU
Propagators - Edward Kmett - Boston Haskell [video] https://www.youtube.com/watch?v=DyPzPeOPgUE https://www.youtube.com/watch?v=DyPzPeOPgUE
- lowglow 10y agoSo many good links here. Most interested in Dynamic Distributed Dimensional Data Model. What are you working on?
- espeed 10y agoPUFR http://pufr.io http://pufr.io (IoT security startup), and for the last few years I've been doing R&D on the design of a graph computing model that unifies some of the ideas above.