ScaLAPACK

Target entity: ScaLAPACK
Context triple: [LINPACK, influenced, ScaLAPACK]

• A. LAPACK
  LAPACK is a widely used software library that provides highly optimized routines for numerical linear algebra operations such as solving systems of equations, eigenvalue problems, and singular value decompositions.
• B. BLAS
  BLAS (Basic Linear Algebra Subprograms) is a standardized collection of low-level routines for performing common linear algebra operations such as vector and matrix multiplication, widely used as a performance-optimized foundation in scientific computing.
• C. LINPACK
  LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
• D. arpack
  arpack is a numerical software library for efficiently computing a few eigenvalues and eigenvectors of large sparse matrices, commonly used in scientific computing and machine learning.
• E. ELL (ELLPACK)
  ELL (ELLPACK) is a sparse matrix storage format that stores each row with a fixed number of nonzero elements, enabling efficient and regular memory access patterns on parallel architectures like GPUs.
• F. None of above. chosen
• G. Unsure - the case is ambiguous/there is not enough information to decide.

Target entity: ScaLAPACK
Target entity description: ScaLAPACK is a high-performance library for solving large-scale linear algebra problems on distributed-memory parallel computers.

• A. LAPACK
  LAPACK is a widely used software library that provides highly optimized routines for numerical linear algebra operations such as solving systems of equations, eigenvalue problems, and singular value decompositions.
• B. BLAS
  BLAS (Basic Linear Algebra Subprograms) is a standardized collection of low-level routines for performing common linear algebra operations such as vector and matrix multiplication, widely used as a performance-optimized foundation in scientific computing.
• C. LINPACK
  LINPACK is a widely used benchmark and software library for performing numerical linear algebra computations, particularly solving systems of linear equations.
• D. arpack
  arpack is a numerical software library for efficiently computing a few eigenvalues and eigenvectors of large sparse matrices, commonly used in scientific computing and machine learning.
• E. ELL (ELLPACK)
  ELL (ELLPACK) is a sparse matrix storage format that stores each row with a fixed number of nonzero elements, enabling efficient and regular memory access patterns on parallel architectures like GPUs.
• F. None of above. chosen