| 1. |
- Ahlin, Daniel, et al.
(författare)
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The XENON1T Data Distribution and Processing Scheme
- 2019
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Ingår i: 23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP). - : EDP Sciences. ; , s. 03015-
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Konferensbidrag (refereegranskat)abstract
- The XENON experiment is looking for non-baryonic particle dark matter in the universe. The setup is a dual phase time projection chamber (TPC) filled with 3200 kg of ultra-pure liquid xenon. The setup is operated at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy. We present a full overview of the computing scheme for data distribution and job management in XENON1T. The software package Rucio, which is developed by the ATLAS collaboration, facilitates data handling on Open Science Grid (OSG) and European Grid Infrastructure (EGI) storage systems. A tape copy at the Centre for High Performance Computing (PDC) is managed by the Tivoli Storage Manager (TSM). Data reduction and Monte Carlo production are handled by CI Connect which is integrated into the OSG network. The job submission system connects resources at the EGI, OSG, SDSC's Comet, and the campus HPC resources for distributed computing. The previous success in the XENON1T computing scheme is also the starting point for its successor experiment XENONnT, which starts to take data in autumn 2019.
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| 2. |
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| 3. |
- Carnerud, Daniel, 1983-, et al.
(författare)
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On the inclusion of sustainability and digitalisation in quality management : an overview from past to present
- 2020
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Ingår i: Total Quality Management and Business Excellence. - : Taylor & Francis. - 1478-3363 .- 1478-3371.
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this study is to explore whether trends in sustainability and digitalisation from the 1980s until today have left any significant practical or epistemological footprints on the quality management paradigm. The study design consists of a mixed-methods approach that applies a data-mining methodology and content analysis to the digital archives of eight scientific journals: six within the quality management (QM) domain and two with a focus on operations management (OM). The data set contains an unbroken time series of over 12,000 research paper abstracts, the first of them published in 1980, giving the study a coverage of almost 40 years. The findings show that sustainability came onto the scholarly scene in 1996 and has since become an increasingly popular research area. In regard to digitalisation, the story is quite different, as the concept is currently absent from the scholarly QM and OM literatures. However, a search for information technology (IT) and information systems (IS) revealed that these topics have been gaining attention since the 1980s. However, it was found that QM research only addresses one part of digitalisation, omitting several interesting dimensions. One example is that the QM and OM literatures address IS mainly in relation to standardised guidelines and business processes within organisations. At the same time, we found a handful of studies combining QM and topics related to modern digitisation, like social media.
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| 4. |
- Johnsson, Lennart, et al.
(författare)
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The SNIC/KTH PRACE prototype: Achieving high energy efficiency with commodity technology without acceleration
- 2010
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Konferensbidrag (refereegranskat)abstract
- Energy efficiency has become one of the most important considerations for HPC systems, particularly for large scale systems, for economic and environmental reasons and in exceptional cases also social and political. Many approaches are currently being pursued both in regards to architecture and hardware and software technologies to improve energy efficiency for HPC systems. The prototype described here, one of several within the PRACE project exploring improved energy efficiency, explores energy efficiency achievable through use of commodity components for cost effectiveness, and without acceleration for preservation/ease of portability of the large application code base that exists for the type of HPC systems that have been dominating for a decade. The prototype development was a collaborative effort between industry and academia. With a very limited budget for a server design project and severe time constraints the novelty was effectively limited to careful component choices in regards to energy efficiency for HPC workloads and a new motherboard design to support the component choices. A further constraint was that the outcome would be of production quality in order for the industry partners to market the prototype design should it be successful. For the component choices we did a characterization of the power consumption of a blade chassis and made an effort to measure the energy consumption of different memory modules under HPC workloads, information we could not find neither in the literature nor from memory or system vendors. Memory power consumption in the prototype, as well as most HPC systems, is second only to the CPU, sometimes a close second. We report on the design of the prototype, and preliminary performance results with an emphasis on the energy aspects of benchmarks and compare our results with the Blue Gene/P that, after its introduction, has dominated the top of the Green500 list for systems not using acceleration. The preliminary results show tha- - t energy efficiency comparable to the BG/P can be achieved without any proprietary technology at a fraction of the cost. The prototype design is now included in the standard product line of the participating platform vendor.
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| 5. |
- Laure, Erwin, et al.
(författare)
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Lindgren the Swedish tier-1 system
- 2015
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Ingår i: Contemporary High Performance Computing: From Petascale Toward Exascale: Volume Two. - : CRC Press. - 9781498700634 - 9781498700627 ; , s. 141-162
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- The Swedish academic computing landscape is organized under the auspices of SNIC, the Swedish National Infrastructure for Computing. SNIC coordinates investments in computing and storage infrastructure at its six national centers and manages the national process for allocating research time on its computing resources. Since its formation in 2003, SNIC has significantly increased the computational capacity available to Swedish researchers and firmly put Sweden on the international computational science map. When the Partnership for Advanced Computing in Europe (PRACE) started in 2010, SNIC joined this European HPC effort and worked with the Swedish Research 142Council to allocate additional funds for a national high-end system that would also be made available to European researchers via PRACE. These efforts resulted in the installation of a CRAY XE6 supercomputer, named Lindgren, at the PDC Center for High-Performance Computing at the KTH Royal Institute of Technology in Stockholm.
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| 6. |
- Mucci, Philip J., et al.
(författare)
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PerfMiner : Cluster-wide collection, storage and presentation of application level hardware performance data
- 2005
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Ingår i: EURO-PAR 2005 PARALLEL PROCESSING, PROCEEDINGS. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 3540287000 ; , s. 124-133
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Konferensbidrag (refereegranskat)abstract
- We present PerfMiner, a system for the transparent collection, storage and presentation of thread-level hardware performance data across an entire cluster. Every sub-process/thread spawned by the user through the batch system is measured with near zero overhead and no dilation of run-time. Performance metrics are collected at the thread level using tool built on top of the Performance Application Programming Interface (PAPI). As the hardware counters are virtualized by the OS, the resulting counts are largely unaffected by other kernel or user processes. PerfMiner correlates this performance data with metadata from the batch system and places it in a database. Through a command line and web interface, the user can make queries to the database to report information on everything from overall workload characterization and system utilization to the performance of a single thread in a specific application. This is in contrast to other monitoring systems that report aggregate system-wide metrics sampled over a period of time. In this paper, we describe our implementation of PerfMiner as well as present some results from the test deployment of PerfMiner across three different clusters at the Center for Parallel Computers at The Royal Institute of Technology in Stockholm, Sweden.
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| 7. |
- Netzer, Gilbert, 1978-, et al.
(författare)
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Exploiting DMA for Performance and Energy Optimized STREAM on a DSP
- 2014
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Ingår i: IPDPSW ’14. - 9781479941162 ; , s. 805-814
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Konferensbidrag (refereegranskat)abstract
- Energy efficiency is of major concern in HPC.DSP architectures have the potential to offer highly competitiveenergy efficiency for applications requiring 64-bit floatingpointprecision. For STREAM, we achieved 1.47GB/J energy efficiency and 96% DDR3 memory bandwidth utilization on the Texas Instruments TMS320C6678 DSP by using its DMAengines for prefetching to avoid cache misses, which cause pipeline stalls in the DSP’s cores, and to prevent write-allocate loads, which would significantly reduce performance. The DMA engines were also used to coordinate the DSPs cores and schedule main memory accesses to improve DDR3 bandwidth utilization. We briefly describe the instrumentation that we designed and implemented for accurate measurement of the core-related, on-chip memory, and DDR3 power consumption and the effectiveness of the DSP’s power saving mechanisms to trade-off performance and energy efficiency.
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| 8. |
- Netzer, Gilbert, et al.
(författare)
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Instrumentation for accurate energy-to-solution measurements of a texas instruments TMS320C6678 digital signal processor and its DDR3 memory
- 2014
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Ingår i: E2SC ’14. - 9781479970360 ; , s. 89-98
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Konferensbidrag (refereegranskat)abstract
- Architectural choices for High-Performance Computingsystems have once again become interesting with energyefficiency for targeted workloads now being a major decisionfactor. A detailed understanding of the energy consumptionof major system components during code execution is criticalfor evolving architectures towards enhanced energy efficiency.The focus of this paper is on the measurement system hard- and software we designed and implemented for the assessmentof the energy-to-solution of HPC workloads for the Texas Instruments TMS320C6678 (6678) Digital Signal Processor. The 6678’s thermal design power falls between x86 serverprocessors and mobile CPUs and so does its floating-pointand memory system capabilities. Yet, compared to those types of processors in corresponding CMOS technology, it offers a potentially significant energy advantage. The measurement system is described together with a thorough error analysis. Measurements are processed out-of-band minimizing the impact on the measured system. Sample observations of the energy efficiency of the 6678 and its memory system are included for illustration.
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