2010-01-07 Thu
io mesh pub
We published an unclassified unlimited release (UUR) paper and technical report comparing different storage-focused analytic platforms.
Abstract
As scientific computing users migrate to petaflop platforms that promise to generate multi-terabyte datasets, there is a growing need in the community to be able to embed sophisticated data analysis algorithms in the storage systems for the computing platforms. Data Warehouse Appliances (DWAs) are an attractive option for this work, due to their ability to process massive datasets efficiently. While DWAs have been proven effective in data mining and informatics applications, there are relatively few examples of how DWAs can be integrated into the scientific computing workflow. In this paper we present our experiences in adapting two mesh analysis algorithms to function on two different DWAs: a SQL-based Netezza database appliance and a Map/Reduce-based Hadoop cluster. The main contribution of this work is insight into the differences between the two platforms' programming environments. In addition, we present performance measurements for entry-level DWAs to help provide a first-order comparison of the hardware.
Publications
- HICS Paper Craig Ulmer, Greg Bayer, Yung Ryn Choe, and Diana Roe, "Exploring Data Warehouse Appliances for Mesh Analysis Applications", Hawaii International Conference on System Sciences 2010.
- SAND Report Craig Ulmer, Greg Bayer, Yung Ryn Choe, and Diana Roe, "Scientific Data Analysis on Data-Parallel Platforms", Sandia Report SAND2010-7471.
We published an unclassified unlimited release (UUR) paper.
Abstract
The field of high performance computing (HPC) currently abounds with excitement about the potential of a broad class of things called accelerators. And, yet, few accelerator based systems are being deployed in general purpose HPC environments. Why is that? This article explores the challenges that accelerators face in the HPC world, with a specific focus on FPGA based systems. We begin with an overview of the characteristics and challenges of typical HPC systems and applications and discuss why FPGAs have the potential to have a significant impact. The bulk of the article is focused on twelve specific areas where FPGA researchers can make contributions to hasten the adoption of FPGAs in HPC environments.
Publications
- TORTS Paper Keith D. Underwood, K. Scott Hemmert, and Craig D. Ulmer, "From Silicon to Science: The Long Road to Production Reconfigurable Supercomputing", ACM Transactions on Reconfigurable Technology and Systems, Vol. 2, No. 4, Article 26, September 2009.
2009-05-06 Wed
hpc io pub
We published an unclassified unlimited release (UUR) paper.
Abstract
Partitioning massively parallel supercomputers into service nodes running a full-fledged OS and compute nodes running a lightweight kernel has many well-known advantages but renders it difficult to access externally located resources such as high-performance databases that may only communicate via TCP. We describe an implementation of a proxy service that allows service nodes to act as a relay for SQL requests issued by processes running on the compute nodes. This implementation allows us to move toward using HPC systems for scalable informatics on large data sets that simply cannot be processed on smaller machines.
Publications
- CUG Paper Ron Oldfield, Andy Wilson, George Davidson, Craig Ulmer, and Todd Kordenbrock, "Access to External Resources Using Service-Node Proxies", Cray User Group
Presentations
2008-11-08 Sat
mesh code pub
We published an unclassified unlimited release (UUR) technical report and received permission to release the software.
Publications
- SAND Report Wendy Doyle, Ann Gentile, Philip Kegelmeyer, and Craig Ulmer "FCLib: The Feature Characterization Library". Sandia Report SAND2008-7687.
Code
We presented this unclassified unlimited release (UUR) poster/paper.
Publications
- HPEC Paper Craig Ulmer and Maya Gokhale, "Threading Opportunities in High-Performance Flash-Memory Storage", High-Performance Embedded Computing 2008.
Presentations
- HPEC Poster Poster I presented at HPEC. Maya and John May also presented this poster at PDSW08
- HPEC Overview A 2-minute overview I gave at the conference