Design and Evaluation of a Parallel HOP Clustering Algorithm for Cosmological Simulation
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Future Generation Computer Systems
Petascale computing for large-scale graph problems
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
DASH: a Recipe for a Flash-based Data Intensive Supercomputer
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Subset removal on massive data with Dash
Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery
Data intensive analysis on the gordon high performance data and compute system
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Reducing data movement costs using energy efficient, active computation on SSD
HotPower'12 Proceedings of the 2012 USENIX conference on Power-Aware Computing and Systems
Task mapping in rectangular twisted tori
Proceedings of the High Performance Computing Symposium
Enabling fair pricing on HPC systems with node sharing
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Exploring the future of out-of-core computing with compute-local non-volatile memory
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
A model for optimizing file access patterns using spatio-temporal parallelism
UltraVis '13 Proceedings of the 8th International Workshop on Ultrascale Visualization
Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines
FAST'13 Proceedings of the 11th USENIX conference on File and Storage Technologies
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In 2011 SDSC will deploy Gordon, an HPC architecture specifically designed for data-intensive applications. We describe the Gordon architecture and the thinking behind the design choices by considering the needs of two targeted application classes: massive database/data mining and data-intensive predictive science simulations. Gordon employs two technologies that have not been incorporated into HPC systems heretofore: flash SSD memory, and virtual shared memory software. We report on application speedups obtained with a working prototype of Gordon in production at SDSC called Dash, currently available as a TeraGrid resource.