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Predictive Science ASC Alliance Program (PSAAP) II: 2018 Review of the Carbon Capture Multidisciplinary Science Center (CCMSC) at the University of Utah

Hoekstra, Robert J.; Hungerford, Aimee L.; Montoya, David R.; Ferencz, Robert M.; Kuhl, Alan L.; Ruggirello, Kevin P.

The review team convened at the University of Utah March 7-8, 2018, to review the Carbon Capture Multidisciplinary Science Center (CCMSC) funded by the 2nd Predictive Science ASC Alliance Program (PSAAP II). Center leadership and researchers made very clear and informative presentations, accurately portraying their work and successes while candidly discussing their concerns and known areas in need of improvement.

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Final Review of FY17 ASC CSSE L2 Milestone #6018 entitled "Analyzing Power Usage Characteristics of Workloads Running on Trinity"

Hoekstra, Robert J.; Hammond, Simon D.; Hemmert, Karl S.; Gentile, Ann C.; Oldfield, Ron A.; Lang, Mike; Martin, Steve

The presentation documented the technical approach of the team and summary of the results with sufficient detail to demonstrate both the value and the completion of the milestone. A separate SAND report was also generated with more detail to supplement the presentation.

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Tri-Lab Co-Design Milestone: In-Depth Performance Portability Analysis of Improved Integrated Codes on Advanced Architecture

Hoekstra, Robert J.; Hammond, Simon D.; Richards, David; Bergen, Ben

This milestone is a tri-lab deliverable supporting ongoing Co-Design efforts impacting applications in the Integrated Codes (IC) program element Advanced Technology Development and Mitigation (ATDM) program element. In FY14, the trilabs looked at porting proxy application to technologies of interest for ATS procurements. In FY15, a milestone was completed evaluating proxy applications in multiple programming models and in FY16, a milestone was completed focusing on the migration of lessons learned back into production code development. This year, the co-design milestone focuses on extracting the knowledge gained and/or code revisions back into production applications.

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Messier: A Detailed NVM-Based DIMM Model for the SST Simulation Framework

Awad, Amro A.; Voskuilen, Gwendolyn R.; Rodrigues, Arun; Hammond, Simon D.; Hoekstra, Robert J.; Hughes, Clayton H.

DRAM technology is the main building block of main memory, however, DRAM scaling is becoming very challenging. The main issues for DRAM scaling are the increasing error rates with each new generation, the geometric and physical constraints of scaling the capacitor part of the DRAM cells, and the high power consumption caused by the continuous need for refreshing cell values. At the same time, emerging Non- Volatile Memory (NVM) technologies, such as Phase-Change Memory (PCM), are emerging as promising replacements for DRAM. NVMs, when compared to current technologies e.g., NAND-based ash, have latencies comparable to DRAM. Additionally, NVMs are non-volatile, which eliminates the need for refresh power and enables persistent memory applications. Finally, NVMs have promising densities and the potential for multi-level cell (MLC) storage.

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Results 26–50 of 107
Results 26–50 of 107