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- Computational Intelligence and Pervasive Systems Lab (Via Eudossiana, 18, 00184 Roma, RM)
The CIPAR laboratories are located in the Engineering headquarters of the "Sapienza" University of Rome, a stone's throw from the Colosseum. Specifically, the laboratory is part of the Department of Information Engineering, Electronics and Telecommunications (DIET) located in Via Eudossiana, 18, 00184 Rome RM, next to the precious Basilica of San Pietro in Vincoli.
All research activities on issues relating to Computational Intelligence, Machine Learning and Pattern Recognition are coordinated in the laboratory located in Rome. The laboratory hosts numerous powerful many-core workstations accessible even remotely equipped with dedicated hardware for parallel computing (GPU, FPGA - see below) for the acceleration of the developed algorithms.
Empowering machine learning
Hardware - WorkStations
Hardware - WorkStations
AMD EPYC 9754 128 @ 2,25 GHz - 768 GB RAM - 4 x 48 GB VRAM Nvidia RTX 6000 Ada - 3 x 16,4 T HDD Toshiba - 14 T + 7 T SSD Samsung
Intel(R) Core(TM) i9-14900K @ 3.200 Ghz, 24 Core(s), 32 Logical Processor - 128 GB RAM - 1,8 TB SSD - GPU NVIDIA RTX 6000 Ada 48 GB
Intel Xeon Gold 5120 56 core @ 2.20 - 187 GB RAM - 2.5 TB HD - GPU: NVIDIA Quadro P5000 16GB
AMD Threadripper 32core - 125 GB RAM - 3 TByte HD - GPU: Nvidia Geforce 1080Ti 12 GB
Intel Xeon Gold 5120 56 core @2.20 - 187 GB RAM - 2.5 TB HD - Attila FPGA
Intel i9-9940X 28 core @3.30 - 125 GB RAM - 3TB HD - GPU: NVIDIA GTX 2080Ti 11GB
AMD Threadripper 32core - 125 GB RAM - 3 TByte HD - GPU: Nvidia Geforce 1080Ti 12 GB
Intel Xeon E5-2630 2 core - 64 GB RAM - 500 GB + 1,8 TB HDs - GPU: Nvidia Titan X 12GB
Intel i7 4770K 4 core @3.50 - 32GB RAM - 1 TB HD
Intel i7 870 4 core @2.80 - 12GB RAM - 250 GB + 2 TB HD
Intel(R) Core(TM) i7-3770K CPU @ 3.50GHz - 32 GB
Intel(R) Xeon(R) CPU E5-2620 v3 @ 2.40GHz 2.40 GHz - 64 GB - Xeon Phi Co Proc
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