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Department of Mathematical Sciences

CAMS/Math Computation Laboratory

Facilities, Equipment and Other Resources

Computing Equipment

High quality facilities supporting numerical computation are essential for the Department of Mathematical Sciences (DMS) and the Center of Applied Mathematics and Statistics (CAMS) at NJIT to fulfill their educational and research missions. Thus, DMS and CAMS, with SCREMS, CSUMS and MRI grants from NSF and the generous support of NJIT, have maintained the CAMS/Math Computation Laboratory (CMCL) for the research needs of their members since 1989.

Computational support provided by CMCL for the proposers takes the form of the desktop PC’s made available to investigators in their offices and the shared facilities of the CMCL (see Table 1). In addition, there is a network of Sun Workstations, and PCs running Windows available to the faculty, postdoctoral associates, and students

Table 1: CAMS/Math Computational Laboratory Facilities

Model

No. of CPU's

Processor (clock)

Memory/CPU

Opteron Cluster 134 AMD Opteron (2.4 GHz) 2 GB
Cluster Expansion 40 AMD Opteron (2.4 GHz) 8 GB
Opteron multi-core 32 cores AMD Opteron (2.3 Ghz) 64 GB (total)
Opteron multi-core 96 cores Intel Xeon (2.53 Ghz) 768 GB (total)

The AMD Opeteron cluster was purchased with the support of an NSF Major Research Instrumentation (MRI) grant, and expanded with an NSF Computational Science Training for Undergraduates in the Mathematical Sciences (CSUMS) grant. The system is a 77 node (174 processor) Beowulff type cluster, and features AMD Opteron processors running at 2.4 GHz with a fast Myrinet interconnect. The cluster has been operational since March 30, 2005.

In 2010, a 32 core system was purchased with department funds. The system uses AMD Opteron processors running at 2.3 GHz, and a total 64GB memory.

More recently, a 96 core system was purchased with department funds and became operational in November 2011. The system uses intel Xeon processors running at 2.53 GHz, and a total 768GB memory. This computer is intended for jobs that require large memory, and parallel computations using OpenMP. An extension to this cluster which effectively doubles its capabilities has been purchased with departmental funds and became operational in October 2012.

All computational facilities are maintained by by the University Computing Systems (UCS), headed by David Perel, Director of UCS.

Recognizing the need to support scientific and engineering computing essential to research efforts across the campus, NJIT began in 1998 to provide all faculty members and graduate students access to centralized computing servers for research purposes. Presently, the main university wide facility is a 112 node cluster (AMD Opteron Dual Core CPU at 2.4 GHz, 2GB RAM/CPU).

The Office

The DMS assigns an individual office to the faculty, postdoctoral associates, and common offices with computers and other equipment to graduate students. In addition, a conference room and the CAMS Reading Room are available for formal and informal research meetings.

Other

The DMS is the base of the Center for Applied Mathematics and Statistics (CAMS) to which all Investigators belong. CAMS supports research in the mathematical sciences at NJIT by preparing a CAMS Annual Report, series of CAMS Technical reports (in electronic form, available for public use at the CAMS website), maintaining a weekly colloquium on Applied Mathematics and Statistics, a weekly seminar in biomathematics, and biweekly seminars in fluid dynamics, wave propagation, and applied statistics. DMS and CAMS also sponsor a major conference on “Frontiers in Applied and Computational Mathematics,” held annually at NJIT.

 
Software

The software that is available on the UNIX workstations of the CAMS laboratories includes along with MATLAB signal processing, neural network, wavelet, and symbolic math toolboxes.

  • Compilers: Fortran77, Fortran90, C, C++, Ada, Pascal
  • Numerical processing packages and libraries: Matlab, Mathematica
  • Symbolic processing packages
  • Graphics packages and libraries: Tecplot, gnuplot, Showcase, xfig, xmgr
  • Statistical computing: S-PLUS, SAS, IMSL
  • Text processing: Latex, nedit