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Chronicles of astra: Challenges and lessons from the first petascale arm supercomputer

International Conference for High Performance Computing, Networking, Storage and Analysis, SC

Pedretti, Kevin P.; Younge, Andrew J.; Hammond, Simon D.; Laros, James H.; Curry, Matthew J.; Aguilar, Michael J.; Hoekstra, Robert J.; Brightwell, Ronald B.

Arm processors have been explored in HPC for several years, however there has not yet been a demonstration of viability for supporting large-scale production workloads. In this paper, we offer a retrospective on the process of bringing up Astra, the first Petascale supercomputer based on 64-bit Arm processors, and validating its ability to run production HPC applications. Through this process several immature technology gaps were addressed, including software stack enablement, Linux bugs at scale, thermal management issues, power management capabilities, and advanced container support. From this experience, several lessons learned are formulated that contributed to the successful deployment of Astra. These insights can be helpful to accelerate deploying and maturing other first-seen HPC technologies. With Astra now supporting many users running a diverse set of production applications at multi-thousand node scales, we believe this constitutes strong supporting evidence that Arm is a viable technology for even the largest-scale supercomputer deployments.

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Evaluating the Marvell ThunderX2 Server Processor for HPC Workloads

2019 International Conference on High Performance Computing and Simulation, HPCS 2019

Hammond, Simon D.; Hughes, Clayton H.; Levenhagen, Michael J.; Vaughan, Courtenay T.; Younge, Andrew J.; Schwaller, Benjamin S.; Aguilar, Michael J.; Pedretti, Kevin P.; Laros, James H.

The high performance computing industry is undergoing a period of substantial change. Not least because of fabrication and lithographic challenges in the manufacturing of next-generation processors. As such challenges mount, the industry is looking to generate higher performance from additional functionality in the micro-architecture space as well as a greater emphasis on efficiency in the design of networkon-chip resources and memory subsystems. Such variation in design opens opportunities for new entrants in the data center and server markets where varying compute-to-memory ratios can present end users with more efficient node designs for particular workloads. In this paper we compare the recently released Marvell ThunderX2 Arm processor - arguably the first high-performance computing capable Arm design available in the marketplace. We perform a set of micro-benchmarking and mini-application evaluation on the ThunderX2 comparing it with Intel's Haswell and Skylake Xeon server parts commonly used in contemporary HPC designs. Our findings show that no one processor performs the best across all benchmarks, but that the ThunderX2 excels in areas demanding high memory bandwidth due to the provisioning of more memory channels in its design. We conclude that the ThunderX2 is a serious contender in the HPC server segment and has the potential to offer supercomputing sites with a viable high-performance alternative to existing designs from established industry players.

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FY18 L2 Milestone #8759 Report: Vanguard Astra and ATSE ? an ARM-based Advanced Architecture Prototype System and Software Environment

Laros, James H.; Pedretti, Kevin P.; Hammond, Simon D.; Aguilar, Michael J.; Curry, Matthew L.; Grant, Ryan E.; Hoekstra, Robert J.; Klundt, Ruth A.; Monk, Stephen T.; Ogden, Jeffry B.; Olivier, Stephen L.; Scott, Randall D.; Ward, Harry L.; Younge, Andrew J.

The Vanguard program informally began in January 2017 with the submission of a white pa- per entitled "Sandia's Vision for a 2019 Arm Testbed" to NNSA headquarters. The program proceeded in earnest in May 2017 with an announcement by Doug Wade (Director, Office of Advanced Simulation and Computing and Institutional R&D at NNSA) that Sandia Na- tional Laboratories (Sandia) would host the first Advanced Architecture Prototype platform based on the Arm architecture. In August 2017, Sandia formed a Tri-lab team chartered to develop a robust HPC software stack for Astra to support the Vanguard program goal of demonstrating the viability of Arm in supporting ASC production computing workloads. This document describes the high-level Vanguard program goals, the Vanguard-Astra project acquisition plan and procurement up to contract placement, the initial software stack environment planned for the Vanguard-Astra platform (Astra), a description of how the communities of users will utilize the platform during the transition from the open network to the classified network, and initial performance results.

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FY18 L2 Milestone #6360 Report: Initial Capability of an Arm-based Advanced Architecture Prototype System and Software Environment

Laros, James H.; Pedretti, Kevin P.; Hammond, Simon D.; Aguilar, Michael J.; Curry, Matthew L.; Grant, Ryan E.; Hoekstra, Robert J.; Klundt, Ruth A.; Monk, Stephen T.; Ogden, Jeffry B.; Olivier, Stephen L.; Scott, Randall D.; Ward, Harry L.; Younge, Andrew J.

The Vanguard program informally began in January 2017 with the submission of a white pa- per entitled "Sandia's Vision for a 2019 Arm Testbed" to NNSA headquarters. The program proceeded in earnest in May 2017 with an announcement by Doug Wade (Director, Office of Advanced Simulation and Computing and Institutional R&D at NNSA) that Sandia Na- tional Laboratories (Sandia) would host the first Advanced Architecture Prototype platform based on the Arm architecture. In August 2017, Sandia formed a Tri-lab team chartered to develop a robust HPC software stack for Astra to support the Vanguard program goal of demonstrating the viability of Arm in supporting ASC production computing workloads. This document describes the high-level Vanguard program goals, the Vanguard-Astra project acquisition plan and procurement up to contract placement, the initial software stack environment planned for the Vanguard-Astra platform (Astra), a description of how the communities of users will utilize the platform during the transition from the open network to the classified network, and initial performance results.

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9 Results
9 Results