CERN Accelerating science

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1.
News / Roiser, Stefan (speaker) (CERN) ; Bussmann, Michael (speaker) (Helmholtz-Zentrum Dresden - Rossendorf) ; Girone, Maria (speaker) (CERN) ; Stewart, Graeme A (speaker) (CERN) ; Morgan, Benjamin (speaker) (University of Warwick (GB))
2022 - 153. Compute Accelerator Forum; Compute Accelerator Forum - SpiNNaker2 External links: Talk details; Event details In : Compute Accelerator Forum - SpiNNaker2
2.
LLAMA: The Low Level Abstraction For Memory Access / Gruber, Bernhard Manfred (CERN ; Dresden, Tech. U. ; CASUS) ; Amadio, Guilherme (CERN) ; Blomer, Jakob (CERN) ; Matthes, Alexander (HZDR, Dresden) ; Widera, René (HZDR, Dresden) ; Bussmann, Michael (CASUS)
The performance gap between CPU and memory widens continuously. Choosing the best memory layout for each hardware architecture is increasingly important as more and more programs become memory bound. [...]
arXiv:2106.04284.- 2023-01-01 - 39 p. - Published in : Softw Pract Exper. 2022 (2022) 1- 27 Fulltext: PDF; External links: 00011 Throughput comparison of several copy implementations between different mappings. The particle record dimension consists of 7 \lstinline{float}s. The event record dimension consists of the first 100 \lstinline{int32}s, \lstinline{int64}s, \lstinline{float}s, \lstinline{byte}s and \lstinline{bool}s as they occur in an internal event dataset from the CMS detector at CERN (cf. the example on LLAMA's GitHub repository for the full definition). The (p) versions are parallel. The (r) versions read contiguously, whereas the (w) versions write contiguously. For the field-wise naive and \lstinline{std::copy}, the throughput depends a lot on the field types of the record dimension. The \lstinline{aosoa_copy} outperforms both of them in most cases, single- and multithreaded.; 00009 Throughput comparison of several copy implementations between different mappings. The particle record dimension consists of 7 \lstinline{float}s. The event record dimension consists of the first 100 \lstinline{int32}s, \lstinline{int64}s, \lstinline{float}s, \lstinline{byte}s and \lstinline{bool}s as they occur in an internal event dataset from the CMS detector at CERN (cf. the example on LLAMA's GitHub repository for the full definition). The (p) versions are parallel. The (r) versions read contiguously, whereas the (w) versions write contiguously. For the field-wise naive and \lstinline{std::copy}, the throughput depends a lot on the field types of the record dimension. The \lstinline{aosoa_copy} outperforms both of them in most cases, single- and multithreaded.; 00010 Throughput comparison of several copy implementations between different mappings. The particle record dimension consists of 7 \lstinline{float}s. The event record dimension consists of the first 100 \lstinline{int32}s, \lstinline{int64}s, \lstinline{float}s, \lstinline{byte}s and \lstinline{bool}s as they occur in an internal event dataset from the CMS detector at CERN (cf. the example on LLAMA's GitHub repository for the full definition). The (p) versions are parallel. The (r) versions read contiguously, whereas the (w) versions write contiguously. For the field-wise naive and \lstinline{std::copy}, the throughput depends a lot on the field types of the record dimension. The \lstinline{aosoa_copy} outperforms both of them in most cases, single- and multithreaded.; 00008 Throughput comparison of several copy implementations between different mappings. The particle record dimension consists of 7 \lstinline{float}s. The event record dimension consists of the first 100 \lstinline{int32}s, \lstinline{int64}s, \lstinline{float}s, \lstinline{byte}s and \lstinline{bool}s as they occur in an internal event dataset from the CMS detector at CERN (cf. the example on LLAMA's GitHub repository for the full definition). The (p) versions are parallel. The (r) versions read contiguously, whereas the (w) versions write contiguously. For the field-wise naive and \lstinline{std::copy}, the throughput depends a lot on the field types of the record dimension. The \lstinline{aosoa_copy} outperforms both of them in most cases, single- and multithreaded.; 00000 Conceptual overview of LLAMA.; 00001 Overview of the C++ library components of LLAMA.; 00007 : Caption not extracted; 00004 : Move with 256Mi particles; 00005 : Caption not extracted; 00002 Concept of LLAMA mappings. A mapping defines how a record and array dimension index tuple is translated into a blob number and offset.; 00006 : Move with 256Mi particles; 00003 : Caption not extracted
3.
Status of the Horizon 2020 EuPRAXIA conceptual design study / Weikum, Maria (DESY) ; Akhter, Tahmina (INFN, Naples ; U. Naples (main)) ; Alesini, David (Frascati) ; Alexandrova, Alexandra (U. Liverpool (main) ; Cockcroft Inst. Accel. Sci. Tech.) ; Anania, Maria Pia (Frascati) ; Andreev, Nikolay (Moscow, Inst. High Temp. ; Moscow, MIPT) ; Andriyash, Igor (Weizmann Inst.) ; Aschikhin, Alexander (DESY) ; Aßmann, Ralph (DESY) ; Audet, Thomas (LPGP, Orsay) et al.
The Horizon 2020 Project EuPRAXIA (European Plasma Research Accelerator with eXcellence In Applications) is producing a conceptual design report for a highly compact and cost-effective European facility with multi-GeV electron beams accelerated using plasmas. EuPRAXIA will be set up as a distributed Open Innovation platform with two construction sites, one with a focus on beam-driven plasma acceleration (PWFA) and another site with a focus on laser-driven plasma acceleration (LWFA). [...]
CERN-ACC-2019-225.- 2019 - 5 p. - Published in : 10.18429/JACoW-IPAC2019-THPGW026 Preprint: PDF;
In : 10th International Particle Accelerator Conference, Melbourne, Australia, 19 - 24 May 2019, pp.THPGW026
4.
Interactive, data-intensive HPC / Bussmann, Michael (speaker) (Helmholtz-Zentrum Dresden - Rossendorf)
Complex scientific questions at large scale user facilities strongly involve the user at every step of experimental planning. The data deluge these users have to deal with is strongly coupled to an increasing difficulty in inverting data unambiguously [...]
2019 - 3930. EP-IT Data science seminars External link: Event details In : Interactive, data-intensive HPC
5.
Towards an Advanced Linear International Collider / ALEGRO Collaboration
This document provides detailed information on the status of Advanced and Novel Accelerators techniques and describes the steps that need to be envisaged for their implementation in future accelerators, in particular for high energy physics applications. [...]
arXiv:1901.10370.
- 2019 - 83.
Fulltext
6.
Laser Cooling of Relativistic Heavy Ion Beams / Schramm, Ulrich ; Beckert, Karl ; Beller, Peter ; Bussmann, Michael H ; Franzke, Bernhard ; Habs, Dietrich ; Karpuk, Sergej ; Kühl, T ; Nolden, Fritz ; Reinhardt, Sascha et al.
We report on the first laser cooling of a bunched beam of multiply charged C3+
2005 External link: Published version from JACoW
In : 21st IEEE Particle Accelerator Conference, Knoxville, TN, USA, 16 - 20 May 2005, pp.401
7.
Laser-acceleration and Laser-cooling for Ion Beams / Roth, Markus ; Blazevic, Abel ; Brambrink, Erik ; Geissel, Matthias ; Clarke, Rob ; Karsch, Stefan ; Neely, David ; Cobble, James ; Fernandez, Juan ; Hegelich, Manuel et al.
Darmstadt : GSI, 2004 - Streaming video ; 5 transparencies. Talk Information External links: Published version from JACoW; Talk 06 Jul 2004
In : 9th European Particle Accelerator Conference, Lucerne, Switzerland, 5 - 9 Jul 2004, pp.54

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