ACAL (Advanced Complex Algebra Library) is an out-of-core linear system solution library that uses a hyper-matrix approach to partition large problems.


  • Static load analysis
  • Structural dynamics
  • Computational fluid dynamics
  • Radar cross section
  • Econometric modeling
  • Acoustic target strength
  • Matrix algebra


  • Performance
  • Device striping
  • Data re-use optimization
  • Accuracy
  • Vector/Matrix processing
  • Parallel processing
  • Asynchronous I/O
  • Advanced data management algorithms which allow I/O overhead to be fully overlapped with computational activity
  • Block structured out-of-core linear system solver
  • Pre-condition matrix by performing scaling operations


  • ACAL allows high computation efficiency when properly tuned for the platform used.
  • ACAL performs nearly all vectorizable operations thus, minimizing memory bandwidth requirements. Nearly peak theoretical machine performance for linear system solution can be achieved.
  • ACAL can complete symmetric matrices that have been only filled by accumulating entries across the matrix diagonal. For symmetric matrices, this allows a twofold reduction in generation time. It also supports symmetry in the matrix solution process.

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