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GPU Computing in High Energy Physics

10–12 Sept 2014
University of Pisa
Europe/Rome timezone

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Session

GPU in Low Level Trigger (2/2)

12 Sept 2014, 11:30
University of Pisa

University of Pisa

<a target="_blank" href=https://www.google.com/maps/place/Dipartimento+di+Fisica/@43.720239,10.407985,17z/data=!3m1!4b1!4m2!3m1!1s0x12d591bb7d8c8ec9:0xbf91ddd442e32978>Polo Fibonacci</a> Largo Bruno Pontecorvo, 3 I-56127 Pisa <em>phone +39 050 2214 327</em>

Conveners

GPU in Low Level Trigger (2/2)

  • Silvia Arezzini (PI)

Presentation materials

There are no materials yet.

  1. 47. INTEL HPC portfolio
    Emiliano Politano
    12/09/2014, 11:30
    The use of heterogeneous architectures in HPC at the large scale has become increasingly common over the past few years. One new technology for HPC is the Intel Xeon Phi co-processor that is x86 based, hosts its own Linux OS, and is capable of running most codes with little porting effort. However, the Xeon Phi architecture has significant features that are different from that of Xeon CPUs....
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  2. 0. The GAP project: GPU for online processing in low-level trigger
    Massimiliano Fiorini (FE)
    12/09/2014, 12:15
    Talk
    We describe a pilot project for the use of GPUs (Graphics processing units) in online triggering applications for high energy physics experiments. General-purpose computing on GPUs is emerging as a new paradigm in several fields of science, although so far applications have been tailored to the specific strengths of such devices as accelerator in offline computation. With the steady...
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  3. 33. A FPGA-based Network Interface Card with GPUDirect enabling real-time GPU computing in HEP experiments.
    Alessandro Lonardo (ROMA1)
    12/09/2014, 12:45
    Talk
    While GPGPU paradigm is widely recognized as an effective approach to high performance computing, its usage in low-latency, real-time systems is still in early stages in HEP experiments. GPUs typically show deterministic behaviour in terms of processing latency once data are available in their internal memories, but assessment of real-time features of a standard GPGPU system takes a...
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