SST and ExMatEx Update
Abstract not provided.
Publications
Early Experiences with Intel MIC Architecture
Abstract not provided.
Sandia Advanced Architecture Testbeds
Abstract not provided.
Early Experiences with Intel MIC Architcture
Abstract not provided.
Sandia Advanced Technology Test Bed Project
Abstract not provided.
Energy Based Performance Tuning for Large Scale High Performance Computing Systems
Abstract not provided.
Providing Test Beds for Exascale Explorations - Technical Talk Slides
Abstract not provided.
Providing Test Beds for Exascale Explorations - Intro Slides
Abstract not provided.
A peer-to-peer architecture for supporting dynamic shared libraries in large-scale systems
Enhancements to Red Storm and Catamount to Increase Power Efficiency During Application Execution
Abstract not provided.
Demonstration of a Legacy Application's Path to Exascale - ASC L2 Milestone 4467
Abstract not provided.
Advanced Architecture Test Beds
Abstract not provided.
Report of experiments and evidence for ASC L2 milestone 4467 : demonstration of a legacy application's path to exascale
This report documents thirteen of Sandia's contributions to the Computational Systems and Software Environment (CSSE) within the Advanced Simulation and Computing (ASC) program between fiscal years 2009 and 2012. It describes their impact on ASC applications. Most contributions are implemented in lower software levels allowing for application improvement without source code changes. Improvements are identified in such areas as reduced run time, characterizing power usage, and Input/Output (I/O). Other experiments are more forward looking, demonstrating potential bottlenecks using mini-application versions of the legacy codes and simulating their network activity on Exascale-class hardware. The purpose of this report is to prove that the team has completed milestone 4467-Demonstration of a Legacy Application's Path to Exascale. Cielo is expected to be the last capability system on which existing ASC codes can run without significant modifications. This assertion will be tested to determine where the breaking point is for an existing highly scalable application. The goal is to stretch the performance boundaries of the application by applying recent CSSE RD in areas such as resilience, power, I/O, visualization services, SMARTMAP, lightweight LWKs, virtualization, simulation, and feedback loops. Dedicated system time reservations and/or CCC allocations will be used to quantify the impact of system-level changes to extend the life and performance of the ASC code base. Finally, a simulation of anticipated exascale-class hardware will be performed using SST to supplement the calculations. Determine where the breaking point is for an existing highly scalable application: Chapter 15 presented the CSSE work that sought to identify the breaking point in two ASC legacy applications-Charon and CTH. Their mini-app versions were also employed to complete the task. There is no single breaking point as more than one issue was found with the two codes. The results were that applications can expect to encounter performance issues related to the computing environment, system software, and algorithms. Careful profiling of runtime performance will be needed to identify the source of an issue, in strong combination with knowledge of system software and application source code.
Towards High Performance Computing Application Energy Efficiency
Abstract not provided.
System Software Working Group
Abstract not provided.
Energy Based Performance Tuning for Large Scale High Performance Computing Systems
Abstract not provided.
Shared Libraries on a Capability Class Computer
Shared Libraries on a Capability Class Computer Presentation
Energy Based Performance Tuning for Large Scale High Performance Computing Systems
Abstract not provided.
Systems Software
Abstract not provided.
System Software Report from ASC/CSSE-FOUS Exascale Planning
Abstract not provided.
LDRD final report : a lightweight operating system for multi-core capability class supercomputers
The two primary objectives of this LDRD project were to create a lightweight kernel (LWK) operating system(OS) designed to take maximum advantage of multi-core processors, and to leverage the virtualization capabilities in modern multi-core processors to create a more flexible and adaptable LWK environment. The most significant technical accomplishments of this project were the development of the Kitten lightweight kernel, the co-development of the SMARTMAP intra-node memory mapping technique, and the development and demonstration of a scalable virtualization environment for HPC. Each of these topics is presented in this report by the inclusion of a published or submitted research paper. The results of this project are being leveraged by several ongoing and new research projects.
System Software Research for Extreme-Scale Computing
Abstract not provided.
Investigating methods of supporting dynamically linked executables on high performance computing platforms
Shared libraries have become ubiquitous and are used to achieve great resource efficiencies on many platforms. The same properties that enable efficiencies on time-shared computers and convenience on small clusters prove to be great obstacles to scalability on large clusters and High Performance Computing platforms. In addition, Light Weight operating systems such as Catamount have historically not supported the use of shared libraries specifically because they hinder scalability. In this report we will outline the methods of supporting shared libraries on High Performance Computing platforms using Light Weight kernels that we investigated. The considerations necessary to evaluate utility in this area are many and sometimes conflicting. While our initial path forward has been determined based on this evaluation we consider this effort ongoing and remain prepared to re-evaluate any technology that might provide a scalable solution. This report is an evaluation of a range of possible methods of supporting dynamically linked executables on capability class1 High Performance Computing platforms. Efforts are ongoing and extensive testing at scale is necessary to evaluate performance. While performance is a critical driving factor, supporting whatever method is used in a production environment is an equally important and challenging task.
Catamount N-Way Performance on XT5
Abstract not provided.
Results 26–50 of 59