Abstract
The ALICE experiment at the Large Hadron Collider (LHC) will produce a data size of up to 75 MByte/event at an event rate of up to 200 Hz resulting in a data rate of ∼15 GByte/s. Online processing of the data is necessary in order to select interesting events or sub-events (high-level trigger), or to compress data efficiently be modeling techniques. Both require a fast parallel pattern recognition. Processing this data at a bandwidth of 10–20 GByte/s requires a massive parallel computing system. One possible solution to process the detector data at such rates is a farm of clustered SMP-nodes based on off-the-shelf PCs, and connected by a high bandwidth, low latency network.
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© 2002 Springer-Verlag Berlin Heidelberg
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Helstrup, H. et al. (2002). High Level Trigger System for the LHC ALICE Experiment. In: Sloot, P.M.A., Hoekstra, A.G., Tan, C.J.K., Dongarra, J.J. (eds) Computational Science — ICCS 2002. ICCS 2002. Lecture Notes in Computer Science, vol 2329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46043-8_50
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DOI: https://doi.org/10.1007/3-540-46043-8_50
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