Laboratorio PARCO (Parallel Computing)


The PARCO (Parallel Computing) lab is devoted to the development, analysis, and tuning of parallel code for multi-core and many-core (GPU) architectures.
It provides HW and SW environment for developing in CUDA, OpenCL, OpenACC, OpenMP, MPI targeting performance, power, and energy consumption design constraints.

Nicola  Bombieri
Ca' Vignal 2,  Floor -1,  Room B

Computer Science


- 6 workstations Linux

- 5 server CPU/GPU:
1. AMD Phenom II X6 1055T (6x 2.8Ghz - Turbo @ 3.3GHz), 8GB RAM, NVIDIA GeForce GTX 780 (2304 cores - 3GB)
2. AMD FX-4100 (4x 3.6GHz - Turbo @ 3.8GHz), 8GB RAM, NVIDIA GeForce GTX 460 336 cores 1GB + GeForce GTX 570 (480 cores - 1.28GB)
3. AMD APU A8-7600 (4x 3.1Ghz - Turbo @ 3.8GHz), 16GB RAM, NVIDIA GeForce GTX 980 (2304 cores - 3GB)
4. AMD Phenom II X6 1055T (6x 2.8Ghz - Turbo @ 3.3GHz), 8GB RAM, NVIDIA Tegra K40 (2880 cores - 12GB)
5. AMD APU A8-3870 (4x 3GHz) , 8GB RAM, GeForce GTX 570 HD (480 cores - 2.5GB).

- 2 low-power heterogeneous embedded systems:
1. NVIDIA Jetson TK1
2. NVIDIA Jetson TX1

- Powermon2 power monitoring device

- 1 cluster (Linux, Torque, 20 x86 64bit nodes)

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