Routine Naming Conventions
For each routine introduced in this chapter, you can use the ScaLAPACK name. The naming convention for ScaLAPACK routines is similar to that used for LAPACK routines. A general rule is that each routine name in ScaLAPACK, which has an LAPACK equivalent, is simply the LAPACK name prefixed by initial letter p.
ScaLAPACK names have the structure p?yyzzz or p?yyzz, which is described below.
The initial letter p is a distinctive prefix of ScaLAPACK routines and is present in each such routine.
The second symbol ? indicates the data type:
 s

real, single precision
 d

real, double precision
 c

complex, single precision
 z

complex, double precision
The second and third letters yy indicate the matrix type as:
 ge

general
 gb

general band
 gg

a pair of general matrices (for a generalized problem)
 dt

general tridiagonal (diagonally dominantlike)
 db

general band (diagonally dominantlike)
 po

symmetric or Hermitian positivedefinite
 pb

symmetric or Hermitian positivedefinite band
 pt

symmetric or Hermitian positivedefinite tridiagonal
 sy

symmetric
 st

symmetric tridiagonal (real)
 he

Hermitian
 or

orthogonal
 tr

triangular (or quasitriangular)
 tz

trapezoidal
 un

unitary
For computational routines, the last three letters zzz indicate the computation performed and have the same meaning as for LAPACK routines.
For driver routines, the last two letters zz or three letters zzz have the following meaning:
 sv

a simple driver for solving a linear system
 svx

an expert driver for solving a linear system
 ls

a driver for solving a linear least squares problem
 ev

a simple driver for solving a symmetric eigenvalue problem
 evd

a simple driver for solving an eigenvalue problem using a divide and conquer algorithm
 evx

an expert driver for solving a symmetric eigenvalue problem
 svd

a driver for computing a singular value decomposition
 gvx

an expert driver for solving a generalized symmetric definite eigenvalue problem
Simple driver here means that the driver just solves the general problem, whereas an expert driver is more versatile and can also optionally perform some related computations (such, for example, as refining the solution and computing error bounds after the linear system is solved).