• Operating Systems: Linux, Windows
  • Programing languages: C/C++, Java, Python, Visual C++, C#
  • IDEs: Eclipse, NetBeans, IntelliJ IDEA
  • Compilers: GCC
  • Simulators and Tools: Sniper (multi-core virtual machine), gem5, Multi2Sim, M-SIM, ns-3, Simics, GAP, SimpleScalar tool set v.3.0, LC-2 simulators, SPIM, DLX, SATSim, Complex simulator set for optimization of advanced microarchitectures (local development), CACTI, UniSim, Tensorflow, Keras, R-Studio
  • Benchmarks: SPLASH-2, PARSEC (multithread) SPEC 2000, MiBench, E3S (EEMBC), HSA, Reuters Corpus v.1, Application for document classification and clustering (local development), BU-Web-Client (six months of web client traces)
  • Our developed complex software frameworks: FADSE, UniMap
  • Modelling toos: Scene2Model, Bee-Up, ADOxx, ADOxxWEB Simulation, LoLA ADOxxWEB Verification, PetriNets Simulation Tool, Snoopy, SoapUI, Spike, Charlie, Marcie, CPNTools
  • Computer vision tools and machine learning environments: Python, OpenCV, SciKit Learn


The available equipment and resources in the research unit include:

High Performance Computing (HPC) System:

  • 15 blades with a total of 120 Intel Xeon E5405 homogeneous quad cores operating at 2 GHz.
  • 2 blades with 36 IBM Cell Broadband Engine (Cell BE) processors, consisting of a 64-bit dual-thread PowerPC core and 8 SIMD processors.
  • DRAM memory allocation of 4.84 GB for every two Intel quad cores and 7.85 GB for every two IBM Cell cores, totaling 88.3 GB of RAM.
  • Approximately 1.2 TB of disk storage capacity.
  • Operating system: RedHat Enterprise 5.4 Linux.
  • Location: IE-311 lab, ACAPS headquarters.

High Performance Computing Server with a NVidia RTX8000 GPU

  • HPE DL380 Gen10 Sever, Intel Xeon-G 6240R, 32GB 2Rx4 PC4-2933Y-R, NVIDIA Quadro RTX8000 GPU
  • Location: IE-311 lab, ACAPS headquarters.

Workstations: 10 laptops + IoT components:

  • Includes Raspberry PI micro-controllers, robotic arm, mBot mobile robot, a fixed USB camera, and modeling scenarios.
  • Location: IM311 lab.

The ULBS Quantum Hub:

  • 37 HP i7 PCs
  • 1 BenQ HD video-projector

Access to ULBS computing resources through the Communications Department.