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    StealthDB: a Scalable Encrypted Database with Full SQL Query Support

    Gribov, Alexey, Vinayagamurthy, Dhinakaran, Gorbunov, Sergey
    Cornell University
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    Title: StealthDB: a Scalable Encrypted Database with Full SQL Query Support
    Author: Gribov, Alexey; Vinayagamurthy, Dhinakaran; Gorbunov, Sergey
    Subject: Computer Science - Cryptography And Security
    Description: Encrypted database systems provide a great method for protecting sensitive data in untrusted infrastructures. These systems are built using either special-purpose cryptographic algorithms that support operations over encrypted data, or by leveraging trusted computing co-processors. Strong cryptographic algorithms (e.g., public-key encryptions, garbled circuits) usually result in high performance overheads, while weaker algorithms (e.g., order-preserving encryption) result in large leakage profiles. On the other hand, some encrypted database systems (e.g., Cipherbase, TrustedDB) leverage non-standard trusted computing devices, and are designed to work around the architectural limitations of the specific devices used. In this work we build StealthDB - an encrypted database system from Intel SGX. Our system can run on any newer generation Intel CPU. StealthDB has a very small trusted computing base, scales to large transactional workloads, requires minor DBMS changes, and provides a relatively strong security guarantees at steady state and during query execution. Our prototype on top of Postgres supports the full TPC-C benchmark with a 30% decrease in the average throughput over an unmodified version of Postgres operating on a 2GB unencrypted dataset.
    Identifier: 1711.02279 (ARXIV ID)

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    Track Reconstruction in the ALICE TPC using GPUs for LHC Run 3

    Rohr, David, Gorbunov, Sergey, Schmidt, Marten, Shahoyan, Ruben
    arXiv.org, Nov 28, 2018
    © ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
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    Title: Track Reconstruction in the ALICE TPC using GPUs for LHC Run 3
    Author: Rohr, David; Gorbunov, Sergey; Schmidt, Marten; Shahoyan, Ruben
    Contributor: Shahoyan, Ruben (pacrepositoryorg)
    Subject: Calibration ; Collisions ; Radiation Counters ; Time Dependence ; Computation ; Source Code ; Cellular Automata ; Accelerators ; Kalman Filters ; Data Reduction ; Accident Reconstruction
    Description: In LHC Run 3, ALICE will increase the data taking rate significantly to continuous readout of 50 kHz minimum bias Pb-Pb collisions. The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online reconstruction stage during data taking enabling detector calibration, and a posterior calibrated asynchronous reconstruction stage. We present a tracking algorithm for the Time Projection Chamber (TPC), the main tracking detector of ALICE. The reconstruction must yield results comparable to current offline reconstruction and meet the time constraints like in the current High Level Trigger (HLT), processing 50 times as many collisions per second as today. It is derived from the current online tracking in the HLT, which is based on a Cellular automaton and the Kalman filter, and we integrate missing features from offline tracking for improved resolution. The continuous TPC readout and overlapping collisions pose new challenges: conversion to spatial coordinates...
    Is part of: arXiv.org, Nov 28, 2018
    Identifier: 2331-8422 (E-ISSN)

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    Alice hlt tpc tracking of pb-pb events on gpus

    Rohr, David, Gorbunov, Sergey, Szostak, Artur, Kretz, Matthias, Kollegger, Thorsten, Breitner, Timo, Alt, Torsten
    Journal of Physics: Conference Series, 2012, Vol.396(1), p.012044 (8pp) [Peer Reviewed Journal]
    IOPscience (IOP Publishing)
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    Title: Alice hlt tpc tracking of pb-pb events on gpus
    Author: Rohr, David; Gorbunov, Sergey; Szostak, Artur; Kretz, Matthias; Kollegger, Thorsten; Breitner, Timo; Alt, Torsten
    Subject: Physics;
    Description: The online event reconstruction for the ALICE experiment at CERN requires processing capabilities to process central Pb-Pb collisions at a rate of more than 200 Hz, corresponding to an input data rate of about 25 GB/s. The reconstruction of particle trajectories in the Time Projection Chamber (TPC) is the most compute intensive step. The TPC online tracker implementation combines the principle of the cellular automaton and the Kalman filter. It has been accelerated by the usage of graphics cards (GPUs). A pipelined processing allows to perform the tracking on the GPU, the data transfer, and the preprocessing on the CPU in parallel. In order for CPU pre- and postprocessing to keep step with the GPU the pipeline uses multiple threads. A splitting of the tracking in multiple phases searching for short local track segments first improves data locality and makes the algorithm suited to run on a GPU. Due to special optimizations this course of action is not second to a global approach. Because of non-associative floating-point arithmetic a binary comparison of GPU and CPU tracker is infeasible. A track by track and cluster by cluster comparison shows a concordance of 99.999%. With current hardware, the GPU tracker outperforms the CPU version by about a factor of three leaving the processor still available for other tasks.
    Is part of: Journal of Physics: Conference Series, 2012, Vol.396(1), p.012044 (8pp)
    Identifier: 1742-6588 (ISSN); 1742-6596 (E-ISSN); 10.1088/1742-6596/396/1/012044 (DOI)

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    Online Reconstruction and Calibration with feed back loop in the ALICE High Level Trigger

    Rohr, David, Shahoyan, Ruben, Zampolli, Chiara, Krzewicki, Mikolaj, Wiechula, Jens, Gorbunov, Sergey, Chauvin, Alex, Schweda, Kai, Lindenstruth, Volker
    arXiv.org, Dec 26, 2017 [Peer Reviewed Journal]

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    ALICE HLT TPC Tracking of Pb-Pb Events on GPUs

    Rohr, David, Gorbunov, Sergey, Szostak, Artur, Kretz, Matthias, Kollegger, Thorsten, Breitner, Timo, Alt, Torsten
    arXiv.org, Dec 26, 2017

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    • Several versions

    GPU-accelerated track reconstruction in the ALICE High Level Trigger

    Rohr, David, Gorbunov, Sergey, Lindenstruth, Volker
    arXiv.org, Dec 26, 2017 [Peer Reviewed Journal]

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    Track Reconstruction in the ALICE TPC using GPUs for LHC Run 3

    Rohr, David, Gorbunov, Sergey, Schmidt, Marten Ole, Shahoyan, Ruben
    Cornell University
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    Title: Track Reconstruction in the ALICE TPC using GPUs for LHC Run 3
    Author: Rohr, David; Gorbunov, Sergey; Schmidt, Marten Ole; Shahoyan, Ruben
    Subject: Physics - Instrumentation And Detectors
    Description: In LHC Run 3, ALICE will increase the data taking rate significantly to continuous readout of 50 kHz minimum bias Pb-Pb collisions. The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online reconstruction stage during data taking enabling detector calibration, and a posterior calibrated asynchronous reconstruction stage. We present a tracking algorithm for the Time Projection Chamber (TPC), the main tracking detector of ALICE. The reconstruction must yield results comparable to current offline reconstruction and meet the time constraints like in the current High Level Trigger (HLT), processing 50 times as many collisions per second as today. It is derived from the current online tracking in the HLT, which is based on a Cellular automaton and the Kalman filter, and we integrate missing features from offline tracking for improved resolution. The continuous TPC readout and overlapping collisions pose new challenges: conversion to spatial coordinates and the application of time- and location dependent calibration must happen in between of track seeding and track fitting while the TPC occupancy increases five-fold. The huge data volume requires a data reduction factor of 20, which imposes additional requirements: the momentum range must be extended to identify low-pt looping tracks and a special refit in uncalibrated coordinates improves the track model entropy encoding. Our TPC track finding leverages the potential of hardware accelerators via the OpenCL and CUDA APIs in a shared source code for CPUs, GPUs, and both reconstruction stages. Porting more reconstruction steps like the remainder of the TPC reconstruction and tracking for other detectors will shift the computing balance from traditional processors to GPUs. Comment: 13 pages, 10 figures, proceedings to Connecting The Dots Workshop, Seattle, 2018
    Identifier: 1811.11481 (ARXIV ID)

    • Several versions

    Online Calibration of the TPC Drift Time in the ALICE High Level Trigger

    Rohr, David, Krzewicki, Mikolaj, Zampolli, Chiara, Wiechula, Jens, Gorbunov, Sergey, Chauvin, Alex, Vorobyev, Ivan, Weber, Steffen, Schweda, Kai, Lindenstruth, Volker
    arXiv.org, Dec 26, 2017 [Peer Reviewed Journal]

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    Stereoselective one-pot synthesis of polycyanosubstituted piperidines

    Vereshchagin, Anatoly, Karpenko, Kirill, Elinson, Michail, Gorbunov, Sergey, Gordeeva, Alexandra, Proshin, Pavel, Goloveshkin, Alexander, Egorov, Mikhail
    Monatshefte für Chemie - Chemical Monthly, 2018, Vol.149(11), pp.1979-1989 [Peer Reviewed Journal]
    Springer Science & Business Media B.V.
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    Title: Stereoselective one-pot synthesis of polycyanosubstituted piperidines
    Author: Vereshchagin, Anatoly; Karpenko, Kirill; Elinson, Michail; Gorbunov, Sergey; Gordeeva, Alexandra; Proshin, Pavel; Goloveshkin, Alexander; Egorov, Mikhail
    Subject: Multicomponent reaction ; Polysubstituted piperidines ; Aromatic aldehydes ; Benzylidenemalononitriles ; Stereoselectivity
    Description: To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1007/s00706-018-2187-x Byline: Anatoly N. Vereshchagin (1), Kirill A. Karpenko (1), Michail N. Elinson (1), Sergey V. Gorbunov (1), Alexandra M. Gordeeva (1), Pavel I. Proshin (1), Alexander S. Goloveshkin (2), Mikhail P. Egorov (1) Keywords: Multicomponent reaction; Polysubstituted piperidines; Aromatic aldehydes; Benzylidenemalononitriles; Stereoselectivity Abstract: Abstract An effective and facile multicomponent method for the synthesis of polysubstituted piperidines is described. The Michael--Mannich type cascade of benzylidenemalononitriles with aromatic aldehydes and ammonium acetate or aqueous ammonia provides convenient access to the stereoselective synthesis of 3,3,5,5-tetracyano-2,4,6-triarylpiperidines in good to excellent yields in one-pot manner. Ammonium acetate or aqueous ammonia plays a role both as a catalyst and as a nitrogen source. It is established that the reaction proceeds via sequence of equilibriums and a competitive mechanisms are implemented. Graphical abstract Author Affiliation: (1) 0000 0001 2192 9124, grid.4886.2, N. D. Zelinsky Institute of Organic Chemistry, Russian Academy of Sciences, Moscow, Russian Federation (2) 0000 0001 2192 9124, grid.4886.2, A. N. Nesmeyanov Institute of Organoelement Compounds, Russian Academy of Sciences, Moscow, Russian Federation Article History: Registration Date: 15/03/2018 Received Date: 22/01/2018 Accepted Date: 14/03/2018 Online Date: 04/09/2018 Article note: Electronic supplementary material The online version of this article (https://doi.org/10.1007/s00706-018-2187-x) contains supplementary material, which is available to authorized users.
    Is part of: Monatshefte für Chemie - Chemical Monthly, 2018, Vol.149(11), pp.1979-1989
    Identifier: 0026-9247 (ISSN); 1434-4475 (E-ISSN); 10.1007/s00706-018-2187-x (DOI)

    • Several versions

    Fast TPC Online Tracking on GPUs and Asynchronous Data Processing in the ALICE HLT to facilitate Online Calibration

    Rohr, David, Gorbunov, Sergey, Krzewicki, Mikolaj, Breitner, Timo, Kretz, Matthias, Lindenstruth, Volker
    arXiv.org, Dec 26, 2017 [Peer Reviewed Journal]

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