Trinity Architecture & Design
Abstract not provided.
Publications
Application-Driven Analysis of Two Generations of Capability Computing Platforms: The Transition to Multicore Processors
Concurreny and Computation: Practice and Experience
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The Impact of Injection Bandwidth Performance on Application Scalability
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Application Driven Analysis of Two Generations of Capability Computing Platforms: Purple and Cielo
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From Red Storm to Cielo: Performance Analysis of ASC Simulation Programs Across an Evolution of Multicore Architectures
Parallel Processing Letters
Abstract not provided.
Application-Driven Accpetance of Cielo an XE6 Petascale Capability Platform
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The Cielo Petascale Capability Supercomputer
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The Cielo Capability Supercomputer
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Copy of Application-driven Analysis of Two Generations of Capability Computing Platforms: Purple and Cielo
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Application-Driven Acceptance of Cielo an XE6 Petascale Capability Platform
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Investigating the Impact of the Cielo Cray XT6 Architecture on Scientific Application Codes
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A Comparison of the Performance Characteristics of Capability and Capacity Class HPC Systems
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Using LANL Applications for Performance Testing of Cielo Red Sky ...
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Capability vs Capacity; HPC Systems Application Performance Comparisons: Cielo vs. Red Sky
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Application-driven analysis of two generations of capability computing platforms :
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Application-driven Analysis of Two Generations of Capability Computing Platforms: Purple and Cielo
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HPC application performance and scaling: Understanding trends and future challenges with application benchmarks on past, present and future tri-lab computing systems
AIP Conference Proceedings
In this paper HPC architectural characteristics and their impact on application performance and scaling are investigated. Performance data gathered over several generations of very large HPC systems like: ASC Red Storm, ASC Purple, and a large InfiniBand cluster - Red Sky, are analyzed. As the number of cache coherent cores and number of NUMA domains at a compute node keeps increasing, we analyze their impact with a few simple benchmarks and several applications. We present bottlenecks and remedies examining production applications. We conclude with preliminary early-hardware performance data from the ASC Cielo, a petaFLOPS class future capability system. © 2010 American Institute of Physics.
Investigating the impact of the cielo cray XE6 architecture on scientific application codes
Cielo, a Cray XE6, is the Department of Energy NNSA Advanced Simulation and Computing (ASC) campaign's newest capability machine. Rated at 1.37 PFLOPS, it consists of 8,944 dual-socket oct-core AMD Magny-Cours compute nodes, linked using Cray's Gemini interconnect. Its primary mission objective is to enable a suite of the ASC applications implemented using MPI to scale to tens of thousands of cores. Cielo is an evolutionary improvement to a successful architecture previously available to many of our codes, thus enabling a basis for understanding the capabilities of this new architecture. Using three codes strategically important to the ASC campaign, and supplemented with some micro-benchmarks that expose the fundamental capabilities of the XE6, we report on the performance characteristics and capabilities of Cielo.
HPC application performance and scaling : understanding trends and future challenges with application benchmarks on past, present and future Tri-Lab computing systems
Abstract not provided.
Cielo : next generation capability computing platform for NNSA/ASC
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Analyzing multicore characteristics for a suite of applications on an XT5 system
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Analyzing multicore characteristics for a suite of applications on an XT5 system
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The alliance for computing at the extreme scale
Los Alamos and Sandia National Laboratories have formed a new high performance computing center, the Alliance for Computing at the Extreme Scale (ACES). The two labs will jointly architect, develop, procure and operate capability systems for DOE's Advanced Simulation and Computing Program. This presentation will discuss a petascale production capability system, Cielo, that will be deployed in late 2010, and a new partnership with Cray on advanced interconnect technologies.
The Alliance for Computing at the Extreme Scale
Abstract not provided.
Application performance on the tri-lab linux capacity cluster -TLCC
International Journal of Distributed Systems and Technologies
In a recent acquisition by DOE/NNSA several large capacity computing clusters called TLCC have been installed at the DOE labs: SNL, LANL and LLNL. TLCC architecture with ccNUMA, multi-socket, multi-core nodes, and InfiniBand interconnect, is representative of the trend in HPC architectures. This paper examines application performance on TLCC contrasting them with Red Storm/Cray XT4. TLCC and Red Storm share similar AMD processors and memory DIMMs. Red Storm however has single socket nodes and custom interconnect. Micro-benchmarks and performance analysis tools help understand the causes for the observed performance differences. Control of processor and memory affinity on TLCC with the numactl utility is shown to result in significant performance gains and is essential to attenuate the detrimental impact of OS interference and cache-coherency overhead. While previous studies have investigated impact of affinity control mostly in the context of small SMP systems, the focus of this paper is on highly parallel MPI applications.
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