Comparison of hardware accelerators for some ALICE online computing applications

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Changaival B., Bouron D., Chapeland S., Achalakul T.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2015

หน้าแรก: 21

หน้าสุดท้าย: 26

จำนวนหน้า: 6

ISBN: 9781467367226

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962121965&doi=10.1109%2fICSECS.2015.7333117&partnerID=40&md5=3bc5f0cfb25bbd72d2edf5fe8b036afd

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

ALICE (A Large Ion Collider Experiment) is an experiment which studies about interacting matter and the quark-gluon plasma at the European Organization for Nuclear Research (CERN) Large Hadron Collider (LHC). Due to the detector upgrade in 2018, 1TB/s data are expected to flow from the detector and the computing system needs to process these data online. To speed up the online processing, different hardware accelerators must be tested thoroughly to see whether they are suitable for the tasks. In this paper, we propose a benchmark method for the ALICE O2 project on various accelerators. There are three targeted computing platform for benchmark, namely, Graphics Processing Unit (GPU), Many-Integrated Core (MIC), and Accelerated Processing Unit (APU). For completeness, CUDA, OpenMP and OpenCL were used to implement the selected algorithms, which correspond to some of the real processing tasks to be implemented for ALICE. The initial results together with the discussion on algorithm optimizations and hardware limitations are also presented. ฉ 2015 IEEE.

คำสำคัญ

Accelerated Processing Unit, Accelerator, Circular Hough Transform, Graphics Processing Unit, Many-Integrated Core, OpenCL, OpenMP