scholarly journals Evaluation of a high-performance storage buffer with 3D XPoint devices for the DUNE data acquisition system

2021 ◽  
Vol 251 ◽  
pp. 04013
Author(s):  
Adam Abed Abud ◽  
Kurt Biery ◽  
Carlos Chavez ◽  
Pengfei Ding ◽  
Eric Flumerfelt ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Data Selection ◽  
Selection System ◽  
Storage Devices ◽  
Full Complement ◽  
Trigger Decision ◽  
Storage Buffer ◽  
Physics Experiment ◽  
Specific Trigger

The DUNE detector is a neutrino physics experiment that is expected to take data starting from 2028. The data acquisition (DAQ) system of the experiment is designed to sustain several TB/s of incoming data which will be temporarily buffered while being processed by a software based data selection system. In DUNE, some rare physics processes (e.g. Supernovae Burst events) require storing the full complement of data produced over 1-2 minute window. These are recognised by the data selection system which fires a specific trigger decision. Upon reception of this decision data are moved from the temporary buffers to local, high performance, persistent storage devices. In this paper we characterize the performance of novel 3DXPoint SSD devices under different workloads suitable for high-performance storage applications. We then illustrate how such devices may be applied to the DUNE use-case: to store, upon a specific signal, 100 seconds of incoming data at 1.5 TB/s distributed among 150 identical units each operating at approximately 10GB/s.

scholarly journals The Data Acquisition System of the Na62 Experiment at Cern

2019 ◽  
Vol 214 ◽  
pp. 01037
Author(s):  
Marco Boretto
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Branching Ratio ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Trigger System ◽  
Level Trigger ◽  
Decay Products ◽  
Ethernet Network ◽  
Trigger Decision

The aim of the NA62 experiment is to study the extreme rare kaon decay K+ ? π+vv and to measure its branching ratio with a 10% accuracy. In order to do so, a very high intensity beam from the CERN SPS is used to produce charged kaons whose decay products are detected by many detectors installed along a 60 m decay region. The NA62 Data Acquisition system (DAQ) exploits a multi-level trigger system; following a Level0 (L0) trigger decision, 1 MHz data rate from about 60 sources is read by a PC-farm, the partial event is built and then passed through a series of Level1 (L1) algorithms to further reduce the trigger rate. Events passing this level are completed with the missing, larger, data sources (~400 sources) at the rate of 100 KHz. The DAQ is built around a high performance ethernet network interconnecting the detectors to a farm of 30 servers. After an overall description of the system design and the main implementation choices that allowed to reach the required performance and functionality, this paper describes the overall behaviour of the DAQ in the 2017 data taking period. It then concludes with an outlook of possible improvements and upgrades that may be applied to the system in the future.

scholarly journals Let’s get our hands dirty: a comprehensive evaluation of DAQDB, key-value store for petascale hot storage

2020 ◽  
Vol 245 ◽  
pp. 10004
Author(s):  
Adam Abed Abud ◽  
Danilo Cicalese ◽  
Grzegorz Jereczek ◽  
Fabrice Le Goff ◽  
Giovanna Lehmann Miotto ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Comprehensive Evaluation ◽  
Hadron Collider ◽  
Computing System ◽  
Lessons Learned ◽  
Data Selection ◽  
Time Data ◽  
Single Node ◽  
Extensive Evaluation

Data acquisition systems are a key component for successful data taking in any experiment. The DAQ is a complex distributed computing system and coordinates all operations, from the data selection stage of interesting events to storage elements. For the High Luminosity upgrade of the Large Hadron Collider, the experiments at CERN need to meet challenging requirements to record data with a much higher occupancy in the detectors. The DAQ system will receive and deliver data with a significantly increased trigger rate, one million events per second, and capacity, terabytes of data per second. An effective way to meet these requirements is to decouple real-time data acquisition from event selection. Data fragments can be temporarily stored in a large distributed key-value store. Fragments belonging to the same event can be then queried on demand, by the data selection processes. Implementing such a model relies on a proper combination of emerging technologies, such as persistent memory, NVMe SSDs, scalable networking, and data structures, as well as high performance, scalable software. In this paper, we present DAQDB (Data Acquisition Database) — an open source implementation of this design that was presented earlier, with an extensive evaluation of this approach, from the single node to the distributed performance. Furthermore, we complement our study with a description of the challenges faced and the lessons learned while integrating DAQDB with the existing software framework of the ATLAS experiment.

Using computer clusters for processing spatial-temporal data streams in data acquisition systems

2018 ◽  
Vol 935 (5) ◽  
pp. 54-63
Author(s):  
A.A. Maiorov ◽  
A.V. Materuhin ◽  
I.N. Kondaurov
Keyword(s):  
Data Acquisition ◽  
Data Streams ◽  
Spatial Data ◽  
High Performance ◽  
Temporal Data ◽  
Cyberphysical Systems ◽  
Software Environment ◽  
Computer Clusters ◽  
Data Acquisition Systems ◽  
Essential Components

Geoinformation technologies are now becoming “end-to-end” technologies of the new digital economy. There is a need for solutions for efficient processing of spatial and spatio-temporal data that could be applied in various sectors of this new economy. Such solutions are necessary, for example, for cyberphysical systems. Essential components of cyberphysical systems are high-performance and easy-scalable data acquisition systems based on smart geosensor networks. This article discusses the problem of choosing a software environment for this kind of systems, provides a review and a comparative analysis of various open source software environments designed for large spatial data and spatial-temporal data streams processing in computer clusters. It is shown that the software framework STARK can be used to process spatial-temporal data streams in spatial-temporal data streams. An extension of the STARK class system based on the type system for spatial-temporal data streams developed by one of the authors of this article is proposed. The models and data representations obtained as a result of the proposed expansion can be used not only for processing spatial-temporal data streams in data acquisition systems based on smart geosensor networks, but also for processing spatial-temporal data streams in various purposes geoinformation systems that use processing data in computer clusters.

Mixed ternary metal MFeCo (M = Al, Mg, Cu, Zn, or Ni) oxide electrodes for high-performance energy storage devices

Ionics ◽  
2021 ◽  
Author(s):  
Morteza Saghafi Yazdi ◽  
Seied Ali Hosseini ◽  
Zeynodin Karami ◽  
Ali Olamaee ◽  
Mohammad Abedini ◽  
...  
Keyword(s):  
Energy Storage ◽  
High Performance ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Oxide Electrodes ◽  
Ternary Metal ◽  
Ni Oxide

scholarly journals Oxygen-Deficient Stannic Oxide/Graphene for Ultrahigh-Performance Supercapacitors and Gas Sensors

Nanomaterials ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 372
Author(s):  
Liyang Lin ◽  
Susu Chen ◽  
Tao Deng ◽  
Wen Zeng
Keyword(s):  
Energy Storage ◽  
Gas Sensors ◽  
High Performance ◽  
Gas Sensing ◽  
Synthesis Method ◽  
Rate Capability ◽  
Stannic Oxide ◽  
Energy Storage Devices ◽  
Graphene Nanocomposites ◽  
Storage Devices

The metal oxides/graphene nanocomposites have great application prospects in the fields of electrochemical energy storage and gas sensing detection. However, rational synthesis of such materials with good conductivity and electrochemical activity is the topical challenge for high-performance devices. Here, SnO2/graphene nanocomposite is taken as a typical example and develops a universal synthesis method that overcome these challenges and prepares the oxygen-deficient SnO2 hollow nanospheres/graphene (r-SnO2/GN) nanocomposite with excellent performance for supercapacitors and gas sensors. The electrode r-SnO2/GN exhibits specific capacitance of 947.4 F g−1 at a current density of 2 mA cm−2 and of 640.0 F g−1 even at 20 mA cm−2, showing remarkable rate capability. For gas-sensing application, the sensor r-SnO2/GN showed good sensitivity (~13.8 under 500 ppm) and short response/recovering time toward methane gas. These performance features make r-SnO2/GN nanocomposite a promising candidate for high-performance energy storage devices and gas sensors.

scholarly journals Layered double hydroxide membrane with high hydroxide conductivity and ion selectivity for energy storage device

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jing Hu ◽  
Xiaomin Tang ◽  
Qing Dai ◽  
Zhiqiang Liu ◽  
Huamin Zhang ◽  
...  
Keyword(s):  
Energy Storage ◽  
High Performance ◽  
Ion Selectivity ◽  
Storage Device ◽  
Hydroxyl Groups ◽  
Flow Battery ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Ions Transport ◽  
Double Hydroxides

AbstractMembranes with fast and selective ions transport are highly demanded for energy storage devices. Layered double hydroxides (LDHs), bearing uniform interlayer galleries and abundant hydroxyl groups covalently bonded within two-dimensional (2D) host layers, make them superb candidates for high-performance membranes. However, related research on LDHs for ions separation is quite rare, especially the deep-going study on ions transport behavior in LDHs. Here, we report a LDHs-based composite membrane with fast and selective ions transport for flow battery application. The hydroxide ions transport through LDHs via vehicular (standard diffusion) & Grotthuss (proton hopping) mechanisms is uncovered. The LDHs-based membrane enables an alkaline zinc-based flow battery to operate at 200 mA cm−2, along with an energy efficiency of 82.36% for 400 cycles. This study offers an in-depth understanding of ions transport in LDHs and further inspires their applications in other energy-related devices.

Catalytic Separator with Co–N–C Nanoreactor for High-Performance Lithium-Sulfur Batteries

2021 ◽  
Author(s):  
Longtao Ren ◽  
Qian Wang ◽  
Yajie Li ◽  
Cejun Hu ◽  
Yajun Zhao ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Density ◽  
High Performance ◽  
Next Generation ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Lithium Sulfur Batteries ◽  
Lithium Sulfur

Rechargeable lithium-sulfur (Li–S) batteries are considered one of the most promising next-generation energy storage devices because of their high theoretical energy density. However, the dissolution of lithium polysulfides (LiPSs) in...

scholarly journals Deployment and future prospects of high performance diagnostics featuring serial I/O (SIO) data acquisition (DAQ) at ASDEX Upgrade

2012 ◽  
Vol 87 (12) ◽  
pp. 2145-2151 ◽  
Author(s):  
K. Behler ◽  
H. Blank ◽  
H. Eixenberger ◽  
M. Fitzek ◽  
A. Lohs ◽  
...  
Keyword(s):  
Data Acquisition ◽  
High Performance ◽  
Future Prospects ◽  
Performance Diagnostics
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