Rutgers Cancer Institute of New Jersey
195 Little Albany Street
New Brunswick, NJ 08903-2681
732-235-CINJ (2465)
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Biomedical Informatics shared resource is enabled by the equipment groupings listed below. The equipment supports the research computing initiative of the Institute. The Biomedical Informatics shared resource also supports the Institutional file servers.
Equipment | Brand | Model | CPU | Memory | Storage | Quantity | Purpose |
Oncore | |||||||
Server | HP | ProLiant DL360p Gen8 | 2 x Intel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz (8 cores, 16 threads) | 32GB | 2.4TB | 2 | OnCore Database Server and Test VM Host |
Server | HP | ProLiant DL360p Gen8 | 2 x Intel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz (8 cores, 16 threads) | 16GB | 900GB | 1 | OnCore Application Server |
Server | HP | ProLiant DL360p Gen8 | 2 x Intel(R) Xeon(R) CPU E5-2650 0 @ 2.00GHz (8 cores, 16 threads) | 16GB | 2.4TB | 1 | OnCore Backup Server |
SEER | |||||||
Server | Dell | PoerEdge R620 | 2 x Intel(R) Xeon(R) CPU E5-2640 v2 @ 2.00GHz (8 core, 16 threads) | 96GB | 4TB | 2 | SEER VM Host |
Server | HP | ProLiant DL360 G7 | 2 x Intel Xeon Intel 2.50 GHz (6 cores, 12 threads) | 72GB | 4TB | 2 | SEER VM Host |
Server | Dell | PowerEdge R710 | 2 x Intel(R) Xeon(R) CPU E5649 @ 2.53GHz (6 core, 12 threads) | 64GB | 4.5TB | SEER VM Host | |
Server | NetApp | FAS2240-4,HA,24x3TB,Dual CTL2 | 6.5TB | 1 | SEER VM Storage | ||
PMI / Data Warehouse | |||||||
Server | Dell | PowerEdge R620 | 2 x Intel(R) Xeon(R) CPU E5-2620 0 @ 2.00GHz (6 cores, 12 threads) | 96GB | 2.2TB | 2 | Data Warehouse Database Server |
Server | Dell | PowerEdge R920 | 2 x Intel(R) Xeon(R) CPU E7-8893 v2 @ 3.40GHz (6 core, 12 threads) | 256GB | 2.2TB | 1 | Informatica VM Host |
Server | Dell | PowerEdge R620 | 2 x Intel(R) Xeon(R) CPU E5-2620 0 @ 2.00GHz (6 core, 12 threads) | 160GB | 2.2TB | 1 | BioFortis VM Host |
Server | Dell | PowerEdge R620 | 2 x Intel(R) Xeon(R) CPU E5-2660 v2 @ 2.20GHz | 96GB | 8TB | 1 | Extract VM Host |
Server | Dell | PowerEdge R610 | 2 x Intel(R) Xeon(R) CPU E5645 @ 2.40GHz (6 core, 12 threads) | 32GB | 32GB | 1 | Caisis VM Host |
Others | |||||||
Server | HP | ProLiant DL560 | 4 x Intel(R) Xeon(R) CPU E5-4607 0 @ 2.20GHz | 96GB | 1TB | 1 | Research Fileserver |
Server | HP | Z820 | 2 x Intel® Xeon® E5-2670 2.60 20MB 1600 8C | 256GB | 8TB | 2 | Research Computational Node |
Server | HP | Z820 | 2 x Intel® Xeon® E5-2670 2.60 20MB 1600 8C | 64GB | 8TB | 1 | Research Computational Node |
Storage | HP | StorageWork D2600 | 36TB | 2 | Research Storage | ||
Storage | Dell | EqualLogic PS6500E | 144TB | 2 | Research Storage |
Biomedical Imaging
TMA-Analysis Workstation
Multi-spectral Imaging Workstation
Olympus VS120 bright-field/fluorescent whole slide scanner with 100 slide capacity and standalone processing workstation which generates high-resolution digital images from microscopy samples within minutes while optimizing scan speed, Z-positioning and efficiency
Research Computing
Bioinformatics supports the following file servers: HP ProLiants (three DL360p Gen8, one DL360p Gen7, and one DL560); Dell PowerEdges (four R620, one R710, one R920, and one R610); one NetApp FAS2240-4, HA, 24x3TB, Dual CTL2; two HP Z820; one HP StorageWork D2600; and one Dell EqualLogic PS6500E. Bioinformatics has application, database, and storage server hardware with redundancy to support both the Aria electronic medical record and the OnCore clinical trials platform. Bioinformatics is enabled by the Rutgers High-Performance Computing Group that has a National Institutes of Health (NIH) shared equipment grant funding a Lenovo NextScale with 132 compute nodes (128Gbyte, dual Haswell 10-core sockets), eight GPU nodes (same node spec but with twin K80 GPU's), 2PB (raw) IBM GPFS (now called Spectrum Scale) and FDR Infiniband arranged in a 1X fat tree. The GPFS will be connected to the network fabric over six IB ports. There is one large memory node (1.5TB memory and 48 cores). Bioinformatics uses this resource for computationally intensive projects such as molecular modeling, genetic epidemiology, Markov Chain Monte Carlo (MCMC) simulations in bioinformatics, machine learning, etc.
SuperComputer - Caliburn
Through a $10 million infrastructure grant awarded to Rutgers from the State, CINJ has established persistent, ready access to state-of-the-art, high-performance computing, cloud support, and direct access to the newly established SuperComputer named Caliburn (20,160 cores, 140TB RAM and 218 TB non-volatile memory, peak performance 677 Tflops), which is the second most powerful in the Big Ten and ranked #8 among U.S. academic institutions. Using these assets, our team is able to accelerate the pace of optimizing computational algorithms and conducting quantitative genomic and imaging experiments in parallel.
Computing equipment is distributed across several sites including a server room in the CINJ basement with fire suppression, raised floor, and independent air conditioning with humidity control; a separate rack of servers for critical clinical/research data is located in the Robert Wood Johnson University Hospital data center (24/7 controlled access, Federal/State hospital data center compliant) as the fail-over site; Rutgers Administrative Services Building (ASB). Access to these sites is ID restricted and video monitored. Servers have a redundant dual power supply with battery backup; there is a tape library for disaster recovery (tapes containing encrypted data are stored by an off-site vendor).