HP MLIB User's Guide Vol. 1 7th Ed.

Chapter 4 Sparse BLAS Operations 421
Overview
4 Sparse BLAS Operations
Overview
This chapter explains how to use the HP MLIB Sparse BLAS implementation
that supports matrix multiply and triangular solver.
This implementation provides the NIST Fortran Sparse BLAS V.0.5 standard
functionality, but with three additional data types (“Sparse BLAS Naming
Convention—Data Type” on page 423) and four additional matrix forms (See
MSC, MSR, BMC, and BMR in Table 4-2). The Sparse BLAS library routines
are written in Fortran 77 and are callable from Fortran 90 and C routines.
Chapter objectives
After reading this chapter you will:
• Be familiar with the Sparse BLAS subroutine naming convention
• Understand argument conventions
• Know what operations the Sparse BLAS performs
• Know how to use the described subprograms
• Be familiar with the Sparse BLAS subroutines