APMinerTool: Advanced Process Mining Made Simple
Version: 1.0.11
License: free0
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OS: Windows
LINPACK is a software library and benchmark tool that was originally developed in the 1970s by Jack Dongarra and his colleagues at Argonne National Laboratory. The primary purpose of LINPACK is to solve dense systems of linear equations using matrix operations.
The LINPACK benchmark has become one of the most widely used tools for measuring the performance of supercomputers and high-performance computing systems. It is particularly famous for being the benchmark used to rank systems in the TOP500 list, which ranks the world's most powerful supercomputers.
The benchmark measures how fast a computer can solve a dense system of linear equations, which is a common task in scientific computing. The performance is typically measured in FLOPS (Floating-Point Operations Per Second). Modern versions of the benchmark, such as HPL (High-Performance LINPACK), are optimized for parallel computing environments and can utilize thousands of processors simultaneously.
LINPACK's significance in the computing world lies not only in its role as a benchmark but also in its practical applications in scientific and engineering calculations, making it a crucial tool in the field of high-performance computing.
| Aspect | Description |
|---|---|
| Full Name | Linear System Package (LINPACK) |
| Created By | Jack Dongarra, Jim Bunch, Cleve Moler, and Gilbert Stewart |
| Year Created | 1976 |
| Primary Purpose | Solving linear equations and linear least-squares problems |
| Programming Language | Written in FORTRAN |
| Main Features | • Solves dense linear systems of equations • Performs matrix factorizations • Handles both real and complex matrices • Provides condition number estimation • Supports various matrix operations |
| Benchmark Usage | • Used to rank supercomputers in TOP500 list • Measures floating-point computing power • Tests system performance and reliability |
| Types of Tests | • HPL (High-Performance LINPACK) • MP LINPACK (Parallel version) • LINPACK Benchmark for personal computers |
| Performance Metrics | • FLOPS (Floating-point Operations Per Second) • Time to solution • Numerical accuracy • Scaling efficiency |
| Key Components | • Matrix generation routines • Factorization algorithms • Solution methods • Error analysis tools |
| Optimization Features | • Block algorithms • Cache optimization • Parallel processing support • Vector operations |
| Hardware Support | • Supercomputers • Clusters • Personal computers • Various processor architectures |
| Common Applications | • Scientific computing • Engineering analysis • Performance benchmarking • System testing |
| Advantages | • Industry standard benchmark • Highly portable • Well-documented • Reliable results |
| Limitations | • May not reflect real application performance • Limited to dense linear algebra • Memory-intensive • Single aspect of system performance |
| Modern Implementations | • Intel MKL LINPACK • AMD ACML LINPACK • Cray Scientific Libraries • Open source versions |
| Related Tools | • BLAS (Basic Linear Algebra Subprograms) • LAPACK • ScaLAPACK • ATLAS |
| Documentation | • User guides • Technical reports • Performance tuning guides • Installation manuals |
| Support & Maintenance | • Regular updates • Bug fixes • Performance improvements • Community support |
| Impact on Industry | • De facto standard for HPC benchmarking • Drives hardware development • Influences system design • Used in procurement decisions |
